DynamoDB

database, nosql, aws, cloud

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Back in the hazy days when relational databases struggled to scale beyond a certain point—and everyone decided they needed “NoSQL”—Amazon gifted us DynamoDB. The promise? Limitless scalability, single-digit millisecond performance, and a blissful escape from joins. It’s essentially a key-value and document database on steroids, cleverly distributing data across multiple servers. Quite clever, really, though one does wonder if the sheer complexity hidden under the hood justifies the performance gains for every use case.

In practice, it’s a bit more nuanced. Forget ad-hoc querying; DynamoDB demands you know your access patterns before you even begin. Think carefully about your primary keys, or prepare for expensive table scans. Compared to Cassandra or MongoDB, it’s arguably easier to manage—provided you stay within Amazon’s ecosystem—and offers tighter integration with other AWS services. Today, it’s a mainstay for session management, gaming leaderboards, and any application needing to handle truly massive scale…as long as you’re willing to pay the price in operational complexity and flexibility.

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but please no

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Argo CD

Apache Arrow

Astronomer

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Apache Avro

Amazon Web Services (AWS)

Amazon Aurora

AWS CloudFormation

Amazon CloudWatch

Amazon EC2

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ClickHouse

Cloud Computing

Cloud Storage

Cloudflare

Azure Cosmos DB

Collibra

IBM Cognos

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Confluence

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Customer Relationship Management (CRM)

Comma-Separated Values (CSV)

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Microsoft Fabric

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Mode Analytics

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Monte Carlo

MySQL

IBM Netezza

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New Relic

Natural Language Processing (NLP)

NoSQL

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Opsgenie

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PagerDuty

Pandas

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Doctor of Philosophy (PhD)

Pinecone

Piwik PRO

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Polars

PostgreSQL

Microsoft Power BI

Microsoft PowerPoint

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Puppeteer

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PyTorch

Qlik

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Recurrent Neural Networks

Rust

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Twilio Segment

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Snowplow

Apache Spark

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SPSS

Structured Query Language (SQL)

SQLMesh

SQLFluff

SQLFmt

Microsoft SQL Server

SQL Server Analysis Services (SSAS)

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SQL Server Reporting Services

Stitch

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Supermetrics

Apache Superset

Azure Synapse Analytics

TIBCO Spotfire

Tableau

Talend

TensorFlow

Teradata

Bicep

Infrastructure as Code (IaC)

Azure Resource Manager (ARM)

Terraform

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TOML

Trifacta

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Unix

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Vector DB

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Microsoft Word

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data scientist AI / ML Platform Engineer @ whatnot-inc US \| 2025-12-28 \| USD 225000 - 320000 / year Whatnot’s AI/ML Platform Engineer role promises building the infra that powers live-shopping AI—from low-latency large-model serving to distributed training on GPUs—while cohabiting with ML... read more »	AI/ML, LLM, Computer Science, Python, PostgreSQL, DynamoDB, ELK, Redis, Datadog, Grafana, Cloud Computing, AWS, Amazon SageMaker, AWS Lambda, Kinesis, S3, Amazon EC2, Kafka, Flink	AI / ML Platform Engineer whatnot-inc (US) FULL TIME \| JOB LISTED Whatnot’s AI/ML Platform Engineer role promises building the infra that powers live-shopping AI—from low-latency large-model serving to distributed training on GPUs—while cohabiting with ML scientists to push models into production. The stack reads like a tour of modern ops: Python production code, PostgreSQL, DynamoDB, Elasticsearch, Redis; observability with DataDog and Grafana; cloud on AWS (SageMaker, Lambda, Kinesis, S3, EC2, EKS/ECS); data streaming with Apache Kafka and Flink. It’s ambitious: end-to-end ML infrastructure that touches growth, recommendations, safety, and fraud; requires autonomy and cross-team influence. Standout features include self-hosted model deployment at scale and model/data parallelism. Risks: hype over “future of AI,” unclear team size and on-call reality, and the cost of running such pipelines in production. Compensation for US is $225k-$320k plus stock. Generated content Technology used AI/ML LLM Computer Science Python PostgreSQL DynamoDB ELK Redis Datadog Grafana Cloud Computing AWS Amazon SageMaker AWS Lambda Kinesis S3 Amazon EC2 Kafka Flink Listed At 2025-12-28 2025-11-15 (original listing) Similar Jobs Loading... Permalink View original posting
analyst Analytics & Insights Analyst @ global-technical-talent US \| 2025-12-28 \| USD 69 - 93 / hour Analysts, take note: this Newark-based nine-month contract as Analytics & Insights Analyst sits at the crossroads of data, strategy, and customer experience. Core stack leans SQL, Python, Excel;... read more »	Analytics, Tableau, QuickSight, Data Quality, Data Analytics, SQL, Python, Adobe Analytics, ETL/ELT, DWH, AWS, Redshift, S3, DynamoDB, JavaScript, Git	Analytics & Insights Analyst global-technical-talent (US) CONTRACT \| JOB LISTED Analysts, take note: this Newark-based nine-month contract as Analytics & Insights Analyst sits at the crossroads of data, strategy, and customer experience. Core stack leans SQL, Python, Excel; viz tools Tableau or AWS QuickSight; Adobe Analytics with A/B testing (Adobe Target preferred). You’ll stitch digital analytics to enterprise reporting, govern data quality, and quantify impact of CS digital initiatives across Help Center and Contact Us sites. Expect collaboration with CS leadership and product teams, plus a nod to ETL, data warehousing, and basic front-end tech (HTML5/JS/CSS) for instrumentation. It’s strong on digital optimization and customer behavior profiling, but the contract nature and onsite Newark obligation, plus vendor tooling dependency, temper the vibe. Pay is $68.94–$93.27 per hour, which is solid for the locale if you want short, intense sprints rather than a stable perch. Generated content Technology used Analytics Tableau QuickSight Data Quality Data Analytics SQL Python Adobe Analytics ETL/ELT DWH AWS Redshift S3 DynamoDB JavaScript Git Listed At 2025-12-28 2025-10-23 (original listing) Similar Jobs Loading... Permalink View original posting
promoted O'Reilly: Building AI Agents with Model Context Protocol (MCP) Design and implement composable agent architectures using MCP. Understand the MCP architecture and how it enables AI applications to access external context. Build MCP servers that expose tools, resources, and prompts to LLMs.	Get Started
data engineer Software Engineer- Data Platform @ pagaya IL \| 2025-12-27 Pagaya seeks a data engineer to develop scalable data pipelines and architecture using AWS tools like S3, Athena, and DynamoDB. The role's differentiator is support for LLM-driven workflows,... read more »	AI/ML, API, Data Engineering, Analytics, AWS, S3, Athena, DynamoDB, Python, Kubernetes, ETL/ELT, SQL, Computer Science, Go	Software Engineer- Data Platform pagaya (IL) FULL TIME \| JOB LISTED Pagaya seeks a data engineer to develop scalable data pipelines and architecture using AWS tools like S3, Athena, and DynamoDB. The role's differentiator is support for LLM-driven workflows, offering a chance to work on cutting-edge AI integrations. A key risk involves the complexity of automating manual tasks and ensuring data quality across diverse systems, which could hinder project timelines. The role demands at least five years of Python and microservices experience, with a focus on building from scratch and problem-solving in a fast-paced environment. Generated content Technology used AI/ML API Data Engineering Analytics AWS S3 Athena DynamoDB Python Kubernetes ETL/ELT SQL Computer Science Go Listed At 2025-12-27 2025-07-28 (original listing) Permalink View original posting
data engineer Data Engineer -601/602 @ ptrglobal US \| 2025-12-24 \| USD 65 - 70 / hour A data engineer role focused on AWS, Python, and Spark within a bank's consumer division; requires designing data pipelines and models, with a differentiator being expertise in cloud data lake... read more »	AWS, Python, Spark, Data Lake, Agile/Scrum, Data Collection, Analytics, SQL, NoSQL, Data Quality, Data Governance, Data Engineering, PySpark, GenAI, API, Cloud Computing, Data Lakehouse, Databricks, Hadoop, PostgreSQL, Oracle, Cassandra, DynamoDB, MongoDB, Snowflake, Redshift, Airflow, Unix, Avro, Protobuf, Parquet, Iceberg, Data Streaming, Data Modelling, Data Vault, dimensional modeling, CI/CD	Data Engineer -601/602 ptrglobal (US) CONTRACT \| JOB LISTED A data engineer role focused on AWS, Python, and Spark within a bank's consumer division; requires designing data pipelines and models, with a differentiator being expertise in cloud data lake platforms. A key risk involves maintaining data security and governance, which is complex but essential; salary ranges from $65 to $70 per hour, exact amount to be determined by experience and scope. Generated content Technology used AWS Python Spark Data Lake Agile/Scrum Data Collection Analytics SQL NoSQL Data Quality Data Governance Data Engineering PySpark GenAI API Cloud Computing Data Lakehouse Databricks Hadoop PostgreSQL Oracle Cassandra DynamoDB MongoDB Snowflake Redshift Airflow Unix Avro Protobuf Parquet Iceberg Data Streaming Data Modelling Data Vault dimensional modeling CI/CD Listed At 2025-12-24 2025-12-01 (original listing) Similar Jobs Loading... Permalink View original posting
data engineer Senior Software Engineer (Enterprise+ App team) @ trustpilot DK \| 2025-12-24 This role is a misrepresentation of what a senior software engineer at Trustpilot should entail. The description is vague, lacks specific technical details, and emphasizes vague notions of... read more »	Management, Data Science, Data Analytics, API, Cloud Computing, React, AWS, AWS Lambda, CloudFormation, TypeScript, DynamoDB, PostgreSQL, BigQuery, Go	Senior Software Engineer (Enterprise+ App team) trustpilot (DK) FULL TIME \| JOB LISTED This role is a misrepresentation of what a senior software engineer at Trustpilot should entail. The description is vague, lacks specific technical details, and emphasizes vague notions of 'innovation' and 'growth' without concrete expectations. The team is described as 'brand new' but lacks clear goals, tools, or metrics for success. The job is not an intermediary position, but rather a full-time role with a competitive compensation package. Tools and technologies mentioned include AWS (ECS, Lambda, SNS, SQS, CloudFormation), Typescript, Javascript, React, Next.js, Docker, DynamoDB, PostgreSQL, and BigQuery. The salary range is not explicitly provided. Generated content Technology used Management Data Science Data Analytics API Cloud Computing React AWS AWS Lambda CloudFormation TypeScript DynamoDB PostgreSQL BigQuery Go Listed At 2025-12-24 2025-09-06 (original listing) Similar Jobs Loading... Permalink View original posting
data engineer Senior Data Architect @ automat-it IL \| 2025-12-24 The Senior Data Architect at Automat-it is responsible for designing scalable, cost-efficient data solutions on AWS, working closely with startup clients to translate concepts into production. A... read more »	Cloud Computing, AWS, DevOps, FinOps, GenAI, Analytics, Data Engineering, Amazon EC2, S3, Amazon RDS, AWS Lambda, CloudFormation, DynamoDB, AWS Glue, Athena, Redshift, Amazon EMR, Kinesis, QuickSight, dbt, Cyber Security, Iceberg, Kubernetes, CI/CD, ETL/ELT, Data Analytics	Senior Data Architect automat-it (IL) FULL TIME \| JOB LISTED The Senior Data Architect at Automat-it is responsible for designing scalable, cost-efficient data solutions on AWS, working closely with startup clients to translate concepts into production. A key differentiator is the focus on high-growth startups and hands-on architecture reviews, though the role carries the risk of frequent travel and staying updated on rapidly evolving data trends. Generated content Technology used Cloud Computing AWS DevOps FinOps GenAI Analytics Data Engineering Amazon EC2 S3 Amazon RDS AWS Lambda CloudFormation DynamoDB AWS Glue Athena Redshift Amazon EMR Kinesis QuickSight dbt Cyber Security Iceberg Kubernetes CI/CD ETL/ELT Data Analytics Listed At 2025-12-24 2025-11-10 (original listing) Similar Jobs Loading... Permalink View original posting
promoted O'Reilly Power BI Learning Master Power BI fast: build basic-to-advanced visuals, apply smart design, use dynamic slicers/filters & new cards, choose the right chart, spotlight key insights, brand and theme reports, and seamlessly publish/share in the Service.	Get Started
machine learning engineer Machine Learning Engineer @ rea-group AU \| 2025-12-24 REA Group promises a hands-on ML engineering role within a top-tier property brand, building scalable multi-modal AI across web and app platforms. The tech stack reads like a tour of modern ML... read more »	AI/ML, GenAI, LLM, API, Cloud Computing, AWS, GCP, Amazon SageMaker, Docker, IaC, Python, DataViz, Analytics, Data Science, SQL, PyTorch, Keras, RDBMS, MySQL, PostgreSQL, BigQuery, NoSQL, Redis, DynamoDB, ELK, Amazon EC2, S3, Terraform, CloudFormation	Machine Learning Engineer rea-group (AU) FULL TIME \| JOB LISTED REA Group promises a hands-on ML engineering role within a top-tier property brand, building scalable multi-modal AI across web and app platforms. The tech stack reads like a tour of modern ML production: Python and SQL at the core, PyTorch, Keras, Transformers and HF models for generative and vision tasks, plus XGBoost/LightGBM for scalable tabular work. You'll deploy real-time and batch pipelines across AWS or Google Cloud with Docker and IaC (Terraform or CloudFormation), and you'll touch SageMaker and Vertex AI. Data-wise, expect roles in recommender systems, property valuations, and user behavior analytics, with relational and NoSQL stores like PostgreSQL, BigQuery, Redis, DynamoDB, and ElasticSearch/Solr. The role advertises collaboration, but the breadth is daunting: multi-cloud, multi-modal, production-grade AI, plus internal-facing and external-facing AI evangelism. Salary is not disclosed, which is telling. It's a solid market outlier for ambitious ML engineers, though the hype-to-deliver ratio bears watching. Generated content Technology used AI/ML GenAI LLM API Cloud Computing AWS GCP Amazon SageMaker Docker IaC Python DataViz Analytics Data Science SQL PyTorch Keras RDBMS MySQL PostgreSQL BigQuery NoSQL Redis DynamoDB ELK Amazon EC2 S3 Terraform CloudFormation Listed At 2025-12-24 2025-11-11 (original listing) Similar Jobs Loading... Permalink View original posting
machine learning engineer Staff Machine Learning Engineer, Fraud & Abuse @ joinblock US \| 2025-12-21 \| USD 276800 - 415200 / year Block's Staff ML Engineer role in Fraud and Abuse ML Engineering promises leadership in real-time and batch ML at scale to protect millions of customers. The stack is familiar: Python, Java,... read more »	AI/ML, API, Data Quality, Management, Python, Java, Databricks, DynamoDB, Kafka, Spark, C	Staff Machine Learning Engineer, Fraud & Abuse joinblock (US) FULL TIME \| JOB LISTED Block's Staff ML Engineer role in Fraud and Abuse ML Engineering promises leadership in real-time and batch ML at scale to protect millions of customers. The stack is familiar: Python, Java, Kotlin; TensorFlow, PyTorch; AWS, Databricks, Kubernetes; MySQL, DynamoDB, Kafka, Spark. It demands 12+ years of software leadership, with a heavy emphasis on operationalizing AI, experimentation, mentorship, and SEV-style risk controls. The main challenges are data quality, feature-store maturation, and integrating risk scores into downstream systems while preserving user experience. The salary range is generous ($276,800–$415,200 USD annually, Zone A-D), but the role remains a classic large-tech risk engineering position rather than a disruptive AI leap. It stands out for scale and governance, but beware the bureaucratic cadence and potential for scope creep. Generated content Technology used AI/ML API Data Quality Management Python Java Databricks DynamoDB Kafka Spark C Listed At 2025-12-21 2025-10-18 (original listing) Permalink View original posting
machine learning engineer Staff Machine Learning Engineer, Risk Signals & Controls @ joinblock US \| 2025-12-21 \| USD 276800 - 415200 / year The Risk Signals and Controls team at Block builds real-time fraud signals and ML-ready pipelines, ingesting third-party and Block data, maintaining a feature store, and productionizing scalable... read more »	AI/ML, Data Quality, Python, TensorFlow, PyTorch, Java, Databricks, DynamoDB, Kafka, Airflow, C	Staff Machine Learning Engineer, Risk Signals & Controls joinblock (US) FULL TIME \| JOB LISTED The Risk Signals and Controls team at Block builds real-time fraud signals and ML-ready pipelines, ingesting third-party and Block data, maintaining a feature store, and productionizing scalable ML services. The role emphasizes end-to-end ownership: design to pager, on-call across time zones, and collaboration with ML modelers and engineers. The tech stack is broad but coherent: Python, Java/Kotlin, TensorFlow or PyTorch, data workflows with Airflow or Prefect, streaming with Kafka, storage with MySQL/DynamoDB, cloud on AWS, Kubernetes, Databricks, and Spark. The requirements demand 12+ years and AI-first leadership, which is both aspirational and daunting for most, potentially signaling a seniority mismatch with the hands-on build-it expectation. Compensation looks market-level for high-cost zones, with generous benefits, but the on-call burden and scope of ML platform work are the real differentiators in this crowded market. Generated content Technology used AI/ML Data Quality Python TensorFlow PyTorch Java Databricks DynamoDB Kafka Airflow C Listed At 2025-12-21 2025-10-18 (original listing) Permalink View original posting
data engineer Director - Data Engineering @ slalom-consulting AU \| 2025-12-21 Slalom’s Director of Data Engineering reads like a tour through every enterprise cloud pattern without naming a single platform as a lasting home. It promises leadership across AWS, Azure, and... read more »	Agile/Scrum, Management, Data Engineering, AI/ML, Analytics, AWS, Azure, GCP, Cloud Computing, DWH, Data Streaming, Big Data, Spark, Presto, Amazon EMR, Redshift, Snowflake, BigQuery, Java, Python, NoSQL, DynamoDB, Cosmos, MongoDB, Kubernetes, Amazon SageMaker, Kinesis, Kafka, Tableau, Power BI, Airflow, dbt, Dagster	Director - Data Engineering slalom-consulting (AU) FULL TIME \| JOB LISTED Slalom’s Director of Data Engineering reads like a tour through every enterprise cloud pattern without naming a single platform as a lasting home. It promises leadership across AWS, Azure, and Google Cloud, steering multi‑phased data warehouse and analytics roadmaps while juggling architecture, delivery, and client pre‑sales. In practice, the role demands both hands‑on tech chops and political dexterity: building modern data platforms with Spark, Redshift, Snowflake, BigQuery, and streaming with Kafka or Kinesis, then shepherding teams through dbt, Airflow, and Dagster workflows. The market-facing pitch glosses over headcount, billing cadence, and the inevitable vendor alignment that slows momentum. Slalom’s culture—diversity, balance, growth—reads well, but the true test is delivering tangible value at scale for Global 1000 and public sector clients without turning every engagement into a platform sales cycle. Generated content Technology used Agile/Scrum Management Data Engineering AI/ML Analytics AWS Azure GCP Cloud Computing DWH Data Streaming Big Data Spark Presto Amazon EMR Redshift Snowflake BigQuery Java Python NoSQL DynamoDB Cosmos MongoDB Kubernetes Amazon SageMaker Kinesis Kafka Tableau Power BI Airflow dbt Dagster Listed At 2025-12-21 2025-11-07 (original listing) Similar Jobs Loading... Permalink View original posting
data scientist Senior Software Architect, Advanced Development @ nvidia IL \| 2025-12-21 NVIDIA seeks a senior architect capable of translating complex business needs into technical solutions within data centers, focusing on accelerate networking and AI workloads. The role's... read more »	AI/ML, Data Analytics, DynamoDB, Computer Science, Linux	Senior Software Architect, Advanced Development nvidia (IL) FULL TIME \| JOB LISTED NVIDIA seeks a senior architect capable of translating complex business needs into technical solutions within data centers, focusing on accelerate networking and AI workloads. The role's differentiator is leading architectural development in modern data center tech, with a notable risk being the requirement for deep expertise and broad experience spanning multiple technologies which could be hard to find. The position involves researching cutting-edge transport functions and coordinating across diverse fields like distributed AI and HPC, with salary information not specified. Generated content Technology used AI/ML Data Analytics DynamoDB Computer Science Linux Listed At 2025-12-21 2025-06-10 (original listing) Permalink View original posting
data engineer Senior Software Engineer @ ogury-ltd FR \| 2025-12-21 Ogury seeks a Senior Software Engineer to build and maintain scalable backend systems for its adtech platform. The role emphasizes Go and distributed systems, with responsibilities in system... read more »	AI/ML, DevOps, Agile/Scrum, Grafana, Prometheus, Redis, DynamoDB, SQL, AWS, Go, Python, JavaScript, TypeScript, Kubernetes, Kafka	Senior Software Engineer ogury-ltd (FR) FULL TIME \| JOB LISTED Ogury seeks a Senior Software Engineer to build and maintain scalable backend systems for its adtech platform. The role emphasizes Go and distributed systems, with responsibilities in system monitoring, performance optimization, and cross-functional collaboration. The position requires strong backend expertise, familiarity with SLI/SLOs, and experience with AWS and Redis. While the company emphasizes inclusivity and well-being, the role is technically demanding and requires deep technical proficiency. The job highlights the company’s focus on reliability and scalability, but may lack clear salary details and specific technical tools listed. The role stands out for its technical rigor and potential for meaningful impact in the adtech space. Generated content Technology used AI/ML DevOps Agile/Scrum Grafana Prometheus Redis DynamoDB SQL AWS Go Python JavaScript TypeScript Kubernetes Kafka Listed At 2025-12-21 2025-07-21 (original listing) Permalink View original posting

data scientist AI / ML Platform Engineer @ whatnot-inc US \| 2025-12-28 \| USD 225000 - 320000 / year Whatnot’s AI/ML Platform Engineer role promises building the infra that powers live-shopping AI—from low-latency large-model serving to distributed training on GPUs—while cohabiting with ML... read more »	AI/ML, LLM, Computer Science, Python, PostgreSQL, DynamoDB, ELK, Redis, Datadog, Grafana, Cloud Computing, AWS, Amazon SageMaker, AWS Lambda, Kinesis, S3, Amazon EC2, Kafka, Flink	AI / ML Platform Engineer whatnot-inc (US) FULL TIME \| JOB LISTED Whatnot’s AI/ML Platform Engineer role promises building the infra that powers live-shopping AI—from low-latency large-model serving to distributed training on GPUs—while cohabiting with ML scientists to push models into production. The stack reads like a tour of modern ops: Python production code, PostgreSQL, DynamoDB, Elasticsearch, Redis; observability with DataDog and Grafana; cloud on AWS (SageMaker, Lambda, Kinesis, S3, EC2, EKS/ECS); data streaming with Apache Kafka and Flink. It’s ambitious: end-to-end ML infrastructure that touches growth, recommendations, safety, and fraud; requires autonomy and cross-team influence. Standout features include self-hosted model deployment at scale and model/data parallelism. Risks: hype over “future of AI,” unclear team size and on-call reality, and the cost of running such pipelines in production. Compensation for US is $225k-$320k plus stock. Generated content Technology used AI/ML LLM Computer Science Python PostgreSQL DynamoDB ELK Redis Datadog Grafana Cloud Computing AWS Amazon SageMaker AWS Lambda Kinesis S3 Amazon EC2 Kafka Flink Listed At 2025-12-28 2025-11-15 (original listing) Similar Jobs Loading... Permalink View original posting
analyst Analytics & Insights Analyst @ global-technical-talent US \| 2025-12-28 \| USD 69 - 93 / hour Analysts, take note: this Newark-based nine-month contract as Analytics & Insights Analyst sits at the crossroads of data, strategy, and customer experience. Core stack leans SQL, Python, Excel;... read more »	Analytics, Tableau, QuickSight, Data Quality, Data Analytics, SQL, Python, Adobe Analytics, ETL/ELT, DWH, AWS, Redshift, S3, DynamoDB, JavaScript, Git	Analytics & Insights Analyst global-technical-talent (US) CONTRACT \| JOB LISTED Analysts, take note: this Newark-based nine-month contract as Analytics & Insights Analyst sits at the crossroads of data, strategy, and customer experience. Core stack leans SQL, Python, Excel; viz tools Tableau or AWS QuickSight; Adobe Analytics with A/B testing (Adobe Target preferred). You’ll stitch digital analytics to enterprise reporting, govern data quality, and quantify impact of CS digital initiatives across Help Center and Contact Us sites. Expect collaboration with CS leadership and product teams, plus a nod to ETL, data warehousing, and basic front-end tech (HTML5/JS/CSS) for instrumentation. It’s strong on digital optimization and customer behavior profiling, but the contract nature and onsite Newark obligation, plus vendor tooling dependency, temper the vibe. Pay is $68.94–$93.27 per hour, which is solid for the locale if you want short, intense sprints rather than a stable perch. Generated content Technology used Analytics Tableau QuickSight Data Quality Data Analytics SQL Python Adobe Analytics ETL/ELT DWH AWS Redshift S3 DynamoDB JavaScript Git Listed At 2025-12-28 2025-10-23 (original listing) Similar Jobs Loading... Permalink View original posting
promoted O'Reilly: Building AI Agents with Model Context Protocol (MCP) Design and implement composable agent architectures using MCP. Understand the MCP architecture and how it enables AI applications to access external context. Build MCP servers that expose tools, resources, and prompts to LLMs.	Get Started
data engineer Software Engineer- Data Platform @ pagaya IL \| 2025-12-27 Pagaya seeks a data engineer to develop scalable data pipelines and architecture using AWS tools like S3, Athena, and DynamoDB. The role's differentiator is support for LLM-driven workflows,... read more »	AI/ML, API, Data Engineering, Analytics, AWS, S3, Athena, DynamoDB, Python, Kubernetes, ETL/ELT, SQL, Computer Science, Go	Software Engineer- Data Platform pagaya (IL) FULL TIME \| JOB LISTED Pagaya seeks a data engineer to develop scalable data pipelines and architecture using AWS tools like S3, Athena, and DynamoDB. The role's differentiator is support for LLM-driven workflows, offering a chance to work on cutting-edge AI integrations. A key risk involves the complexity of automating manual tasks and ensuring data quality across diverse systems, which could hinder project timelines. The role demands at least five years of Python and microservices experience, with a focus on building from scratch and problem-solving in a fast-paced environment. Generated content Technology used AI/ML API Data Engineering Analytics AWS S3 Athena DynamoDB Python Kubernetes ETL/ELT SQL Computer Science Go Listed At 2025-12-27 2025-07-28 (original listing) Permalink View original posting
data engineer Data Engineer -601/602 @ ptrglobal US \| 2025-12-24 \| USD 65 - 70 / hour A data engineer role focused on AWS, Python, and Spark within a bank's consumer division; requires designing data pipelines and models, with a differentiator being expertise in cloud data lake... read more »	AWS, Python, Spark, Data Lake, Agile/Scrum, Data Collection, Analytics, SQL, NoSQL, Data Quality, Data Governance, Data Engineering, PySpark, GenAI, API, Cloud Computing, Data Lakehouse, Databricks, Hadoop, PostgreSQL, Oracle, Cassandra, DynamoDB, MongoDB, Snowflake, Redshift, Airflow, Unix, Avro, Protobuf, Parquet, Iceberg, Data Streaming, Data Modelling, Data Vault, dimensional modeling, CI/CD	Data Engineer -601/602 ptrglobal (US) CONTRACT \| JOB LISTED A data engineer role focused on AWS, Python, and Spark within a bank's consumer division; requires designing data pipelines and models, with a differentiator being expertise in cloud data lake platforms. A key risk involves maintaining data security and governance, which is complex but essential; salary ranges from $65 to $70 per hour, exact amount to be determined by experience and scope. Generated content Technology used AWS Python Spark Data Lake Agile/Scrum Data Collection Analytics SQL NoSQL Data Quality Data Governance Data Engineering PySpark GenAI API Cloud Computing Data Lakehouse Databricks Hadoop PostgreSQL Oracle Cassandra DynamoDB MongoDB Snowflake Redshift Airflow Unix Avro Protobuf Parquet Iceberg Data Streaming Data Modelling Data Vault dimensional modeling CI/CD Listed At 2025-12-24 2025-12-01 (original listing) Similar Jobs Loading... Permalink View original posting
data engineer Senior Software Engineer (Enterprise+ App team) @ trustpilot DK \| 2025-12-24 This role is a misrepresentation of what a senior software engineer at Trustpilot should entail. The description is vague, lacks specific technical details, and emphasizes vague notions of... read more »	Management, Data Science, Data Analytics, API, Cloud Computing, React, AWS, AWS Lambda, CloudFormation, TypeScript, DynamoDB, PostgreSQL, BigQuery, Go	Senior Software Engineer (Enterprise+ App team) trustpilot (DK) FULL TIME \| JOB LISTED This role is a misrepresentation of what a senior software engineer at Trustpilot should entail. The description is vague, lacks specific technical details, and emphasizes vague notions of 'innovation' and 'growth' without concrete expectations. The team is described as 'brand new' but lacks clear goals, tools, or metrics for success. The job is not an intermediary position, but rather a full-time role with a competitive compensation package. Tools and technologies mentioned include AWS (ECS, Lambda, SNS, SQS, CloudFormation), Typescript, Javascript, React, Next.js, Docker, DynamoDB, PostgreSQL, and BigQuery. The salary range is not explicitly provided. Generated content Technology used Management Data Science Data Analytics API Cloud Computing React AWS AWS Lambda CloudFormation TypeScript DynamoDB PostgreSQL BigQuery Go Listed At 2025-12-24 2025-09-06 (original listing) Similar Jobs Loading... Permalink View original posting
data engineer Senior Data Architect @ automat-it IL \| 2025-12-24 The Senior Data Architect at Automat-it is responsible for designing scalable, cost-efficient data solutions on AWS, working closely with startup clients to translate concepts into production. A... read more »	Cloud Computing, AWS, DevOps, FinOps, GenAI, Analytics, Data Engineering, Amazon EC2, S3, Amazon RDS, AWS Lambda, CloudFormation, DynamoDB, AWS Glue, Athena, Redshift, Amazon EMR, Kinesis, QuickSight, dbt, Cyber Security, Iceberg, Kubernetes, CI/CD, ETL/ELT, Data Analytics	Senior Data Architect automat-it (IL) FULL TIME \| JOB LISTED The Senior Data Architect at Automat-it is responsible for designing scalable, cost-efficient data solutions on AWS, working closely with startup clients to translate concepts into production. A key differentiator is the focus on high-growth startups and hands-on architecture reviews, though the role carries the risk of frequent travel and staying updated on rapidly evolving data trends. Generated content Technology used Cloud Computing AWS DevOps FinOps GenAI Analytics Data Engineering Amazon EC2 S3 Amazon RDS AWS Lambda CloudFormation DynamoDB AWS Glue Athena Redshift Amazon EMR Kinesis QuickSight dbt Cyber Security Iceberg Kubernetes CI/CD ETL/ELT Data Analytics Listed At 2025-12-24 2025-11-10 (original listing) Similar Jobs Loading... Permalink View original posting
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machine learning engineer Machine Learning Engineer @ rea-group AU \| 2025-12-24 REA Group promises a hands-on ML engineering role within a top-tier property brand, building scalable multi-modal AI across web and app platforms. The tech stack reads like a tour of modern ML... read more »	AI/ML, GenAI, LLM, API, Cloud Computing, AWS, GCP, Amazon SageMaker, Docker, IaC, Python, DataViz, Analytics, Data Science, SQL, PyTorch, Keras, RDBMS, MySQL, PostgreSQL, BigQuery, NoSQL, Redis, DynamoDB, ELK, Amazon EC2, S3, Terraform, CloudFormation	Machine Learning Engineer rea-group (AU) FULL TIME \| JOB LISTED REA Group promises a hands-on ML engineering role within a top-tier property brand, building scalable multi-modal AI across web and app platforms. The tech stack reads like a tour of modern ML production: Python and SQL at the core, PyTorch, Keras, Transformers and HF models for generative and vision tasks, plus XGBoost/LightGBM for scalable tabular work. You'll deploy real-time and batch pipelines across AWS or Google Cloud with Docker and IaC (Terraform or CloudFormation), and you'll touch SageMaker and Vertex AI. Data-wise, expect roles in recommender systems, property valuations, and user behavior analytics, with relational and NoSQL stores like PostgreSQL, BigQuery, Redis, DynamoDB, and ElasticSearch/Solr. The role advertises collaboration, but the breadth is daunting: multi-cloud, multi-modal, production-grade AI, plus internal-facing and external-facing AI evangelism. Salary is not disclosed, which is telling. It's a solid market outlier for ambitious ML engineers, though the hype-to-deliver ratio bears watching. Generated content Technology used AI/ML GenAI LLM API Cloud Computing AWS GCP Amazon SageMaker Docker IaC Python DataViz Analytics Data Science SQL PyTorch Keras RDBMS MySQL PostgreSQL BigQuery NoSQL Redis DynamoDB ELK Amazon EC2 S3 Terraform CloudFormation Listed At 2025-12-24 2025-11-11 (original listing) Similar Jobs Loading... Permalink View original posting
machine learning engineer Staff Machine Learning Engineer, Fraud & Abuse @ joinblock US \| 2025-12-21 \| USD 276800 - 415200 / year Block's Staff ML Engineer role in Fraud and Abuse ML Engineering promises leadership in real-time and batch ML at scale to protect millions of customers. The stack is familiar: Python, Java,... read more »	AI/ML, API, Data Quality, Management, Python, Java, Databricks, DynamoDB, Kafka, Spark, C	Staff Machine Learning Engineer, Fraud & Abuse joinblock (US) FULL TIME \| JOB LISTED Block's Staff ML Engineer role in Fraud and Abuse ML Engineering promises leadership in real-time and batch ML at scale to protect millions of customers. The stack is familiar: Python, Java, Kotlin; TensorFlow, PyTorch; AWS, Databricks, Kubernetes; MySQL, DynamoDB, Kafka, Spark. It demands 12+ years of software leadership, with a heavy emphasis on operationalizing AI, experimentation, mentorship, and SEV-style risk controls. The main challenges are data quality, feature-store maturation, and integrating risk scores into downstream systems while preserving user experience. The salary range is generous ($276,800–$415,200 USD annually, Zone A-D), but the role remains a classic large-tech risk engineering position rather than a disruptive AI leap. It stands out for scale and governance, but beware the bureaucratic cadence and potential for scope creep. Generated content Technology used AI/ML API Data Quality Management Python Java Databricks DynamoDB Kafka Spark C Listed At 2025-12-21 2025-10-18 (original listing) Permalink View original posting
machine learning engineer Staff Machine Learning Engineer, Risk Signals & Controls @ joinblock US \| 2025-12-21 \| USD 276800 - 415200 / year The Risk Signals and Controls team at Block builds real-time fraud signals and ML-ready pipelines, ingesting third-party and Block data, maintaining a feature store, and productionizing scalable... read more »	AI/ML, Data Quality, Python, TensorFlow, PyTorch, Java, Databricks, DynamoDB, Kafka, Airflow, C	Staff Machine Learning Engineer, Risk Signals & Controls joinblock (US) FULL TIME \| JOB LISTED The Risk Signals and Controls team at Block builds real-time fraud signals and ML-ready pipelines, ingesting third-party and Block data, maintaining a feature store, and productionizing scalable ML services. The role emphasizes end-to-end ownership: design to pager, on-call across time zones, and collaboration with ML modelers and engineers. The tech stack is broad but coherent: Python, Java/Kotlin, TensorFlow or PyTorch, data workflows with Airflow or Prefect, streaming with Kafka, storage with MySQL/DynamoDB, cloud on AWS, Kubernetes, Databricks, and Spark. The requirements demand 12+ years and AI-first leadership, which is both aspirational and daunting for most, potentially signaling a seniority mismatch with the hands-on build-it expectation. Compensation looks market-level for high-cost zones, with generous benefits, but the on-call burden and scope of ML platform work are the real differentiators in this crowded market. Generated content Technology used AI/ML Data Quality Python TensorFlow PyTorch Java Databricks DynamoDB Kafka Airflow C Listed At 2025-12-21 2025-10-18 (original listing) Permalink View original posting
data engineer Director - Data Engineering @ slalom-consulting AU \| 2025-12-21 Slalom’s Director of Data Engineering reads like a tour through every enterprise cloud pattern without naming a single platform as a lasting home. It promises leadership across AWS, Azure, and... read more »	Agile/Scrum, Management, Data Engineering, AI/ML, Analytics, AWS, Azure, GCP, Cloud Computing, DWH, Data Streaming, Big Data, Spark, Presto, Amazon EMR, Redshift, Snowflake, BigQuery, Java, Python, NoSQL, DynamoDB, Cosmos, MongoDB, Kubernetes, Amazon SageMaker, Kinesis, Kafka, Tableau, Power BI, Airflow, dbt, Dagster	Director - Data Engineering slalom-consulting (AU) FULL TIME \| JOB LISTED Slalom’s Director of Data Engineering reads like a tour through every enterprise cloud pattern without naming a single platform as a lasting home. It promises leadership across AWS, Azure, and Google Cloud, steering multi‑phased data warehouse and analytics roadmaps while juggling architecture, delivery, and client pre‑sales. In practice, the role demands both hands‑on tech chops and political dexterity: building modern data platforms with Spark, Redshift, Snowflake, BigQuery, and streaming with Kafka or Kinesis, then shepherding teams through dbt, Airflow, and Dagster workflows. The market-facing pitch glosses over headcount, billing cadence, and the inevitable vendor alignment that slows momentum. Slalom’s culture—diversity, balance, growth—reads well, but the true test is delivering tangible value at scale for Global 1000 and public sector clients without turning every engagement into a platform sales cycle. Generated content Technology used Agile/Scrum Management Data Engineering AI/ML Analytics AWS Azure GCP Cloud Computing DWH Data Streaming Big Data Spark Presto Amazon EMR Redshift Snowflake BigQuery Java Python NoSQL DynamoDB Cosmos MongoDB Kubernetes Amazon SageMaker Kinesis Kafka Tableau Power BI Airflow dbt Dagster Listed At 2025-12-21 2025-11-07 (original listing) Similar Jobs Loading... Permalink View original posting
data scientist Senior Software Architect, Advanced Development @ nvidia IL \| 2025-12-21 NVIDIA seeks a senior architect capable of translating complex business needs into technical solutions within data centers, focusing on accelerate networking and AI workloads. The role's... read more »	AI/ML, Data Analytics, DynamoDB, Computer Science, Linux	Senior Software Architect, Advanced Development nvidia (IL) FULL TIME \| JOB LISTED NVIDIA seeks a senior architect capable of translating complex business needs into technical solutions within data centers, focusing on accelerate networking and AI workloads. The role's differentiator is leading architectural development in modern data center tech, with a notable risk being the requirement for deep expertise and broad experience spanning multiple technologies which could be hard to find. The position involves researching cutting-edge transport functions and coordinating across diverse fields like distributed AI and HPC, with salary information not specified. Generated content Technology used AI/ML Data Analytics DynamoDB Computer Science Linux Listed At 2025-12-21 2025-06-10 (original listing) Permalink View original posting
data engineer Senior Software Engineer @ ogury-ltd FR \| 2025-12-21 Ogury seeks a Senior Software Engineer to build and maintain scalable backend systems for its adtech platform. The role emphasizes Go and distributed systems, with responsibilities in system... read more »	AI/ML, DevOps, Agile/Scrum, Grafana, Prometheus, Redis, DynamoDB, SQL, AWS, Go, Python, JavaScript, TypeScript, Kubernetes, Kafka	Senior Software Engineer ogury-ltd (FR) FULL TIME \| JOB LISTED Ogury seeks a Senior Software Engineer to build and maintain scalable backend systems for its adtech platform. The role emphasizes Go and distributed systems, with responsibilities in system monitoring, performance optimization, and cross-functional collaboration. The position requires strong backend expertise, familiarity with SLI/SLOs, and experience with AWS and Redis. While the company emphasizes inclusivity and well-being, the role is technically demanding and requires deep technical proficiency. The job highlights the company’s focus on reliability and scalability, but may lack clear salary details and specific technical tools listed. The role stands out for its technical rigor and potential for meaningful impact in the adtech space. Generated content Technology used AI/ML DevOps Agile/Scrum Grafana Prometheus Redis DynamoDB SQL AWS Go Python JavaScript TypeScript Kubernetes Kafka Listed At 2025-12-21 2025-07-21 (original listing) Permalink View original posting

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AI / ML Platform Engineer @ whatnot-inc

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O'Reilly: Building AI Agents with Model Context Protocol (MCP)

Software Engineer- Data Platform @ pagaya

Data Engineer -601/602 @ ptrglobal

Senior Software Engineer (Enterprise+ App team) @ trustpilot

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Machine Learning Engineer @ rea-group

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Staff Machine Learning Engineer, Risk Signals & Controls @ joinblock

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Senior Software Architect, Advanced Development @ nvidia

Senior Software Engineer @ ogury-ltd