Amazon Web Services (AWS)

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Amazon Web Services (AWS): the undisputed king of cloud computing, launched in 2006 and never looked back. It competes with Google Cloud Platform, Microsoft Azure, and a bunch
of smaller players you’ve never heard of. AWS’s key differentiator? Scale. It’s everywhere, from startups to Fortune 500s, and it’s got more services than you can shake a stick
at.

With AWS, you can spin up servers, databases, and AI models in minutes, all while paying only for what you use. It’s the go-to for companies that want to scale fast and don’t
mind a bit of complexity. But beware: AWS’s pricing is like a choose-your-own-adventure book, and you might end up in the wrong chapter if you’re not careful. Still, with its
global reach, endless services, and a community that’s bigger than most countries, AWS is the cloud for those who want it all. Just don’t forget to set up your billing alerts.

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Jobs in using Amazon Web Services (AWS) for but please no

data engineer

2026 Intern - Enterprise Marketing AI Data Engineer @ adobe

US | 2025-12-27 | USD 38 - 51 / hour
Adobe’s Enterprise Marketing Data Engineering AI Intern slots you into the data pipeline for AEP, RTCDP and CJA, building AI-enabled marketing data products and prototypes while collaborating with... read more »
Marketing, Data Engineering, AI/ML, CDP, Analytics, GenAI, Databricks, Spark, Python, Data Modelling, Go, Data Quality, Computer Science, SQL, PySpark, ETL/ELT, Cloud Computing, Azure, AWS, GCP, DataViz, Power BI, Tableau
US | 2025-12-26 | USD 101250 - 162000 / year
Axon seeks a Data Engineer II for transforming raw sensor and product data into scalable insights, enabling quick decision-making across teams. The role blends analytics and engineering, with a... read more »
Cloud Computing, Analytics, ETL/ELT, Redshift, SQL, dbt, SQLMesh, Tableau, Python, Git, Data Quality, AWS, S3, API, GDPR/CCPA
promoted

The Fundamentals of Analytics Engineering

The Fundamentals of Analytics Engineering gives a holistic understanding of the analytics engineering lifecycle by integrating principles from both data analysis and engineering. It's a book that teaches concepts and best practices, not just tools and technologies.

data engineer

Head of Data Engineering, Financial Platform @ joinblock

US | 2025-12-25 | USD 239600 - 359400 / year
The role oversees a financial data engineering team to maintain data warehouses and lakehouse systems supporting financial domains like acquiring, issuing, chargebacks, and banking data. A key... read more »
Cyber Security, Data Engineering, Analytics, Data Lakehouse, DWH, AI/ML, Data Science, Snowflake, Databricks, SQL, Python, CI/CD, Airflow, Prefect, Spark, Cloud Computing, AWS, Data Modelling, Data Contracts, C
data engineer

Software Engineer @ liveramp

US | 2025-12-25 | USD 99500 - 155000 / year
LiveRamp seeks engineers to develop scalable identity resolution solutions within a cloud-agnostic SaaS platform, emphasizing privacy and security. The standout is their global, customizable... read more »
SaaS, Cloud Computing, GCP, AWS, Snowflake, Databricks, Azure, IaC, Docker, Kubernetes, Terraform, Data Science, Data Streaming, API, Marketing, Management, Java, Python, Go, Big Data, Spark, Airflow, Dataflow, BigQuery, Cloud Storage, AI/ML, Data Analytics
US | 2025-12-23
A Data Engineer at Stefanini is tasked with designing scalable data pipelines for diverse sources, emphasizing security and automation, with a stated differentiator of employing a security-first... read more »
Agile/Scrum, CDP, Data Engineering, Management, Computer Science, Databricks, Collibra, Python, PySpark, NoSQL, dimensional modeling, Modern Data Stack, S3, Spark, Airflow, Data Lakehouse, Cloud Computing, Redshift, Snowflake, ETL/ELT, Big Data, AWS
US | 2025-12-23
A Data Engineer - III role with SGA involves managing scalable data pipelines, collaborating across teams, and implementing best practices for data security and automation. The differentiator is... read more »
Agile/Scrum, CDP, Data Engineering, Management, Computer Science, Databricks, Collibra, Python, PySpark, NoSQL, dimensional modeling, Modern Data Stack, S3, Spark, Airflow, Data Lakehouse, Cloud Computing, Redshift, Snowflake, ETL/ELT, Big Data, AWS
promoted

The Fundamentals of Analytics Engineering

The Fundamentals of Analytics Engineering gives a holistic understanding of the analytics engineering lifecycle by integrating principles from both data analysis and engineering. It's a book that teaches concepts and best practices, not just tools and technologies.

data engineer

Senior Data Engineer @ autodesk

US | 2025-12-23 | USD 130600 - 211200 / year
Seeking a Principal Data Engineer to lead data infrastructure design supporting ML, personalization, and search systems. A key differentiator is the opportunity to influence strategic initiatives... read more »
AI/ML, Data Science, RAG, Data Engineering, Agile/Scrum, Analytics, Kafka, Flink, SQL, NoSQL, Vector DB, Python, Java, Big Data, Spark, Parquet, Iceberg, Delta, ETL/ELT, Cloud Computing, AWS, Azure, GCP, DWH, Snowflake, Redshift, Data Modelling, Computer Science, PhD, Pinecone, ELK, Data Streaming, MLOps
data engineer

Developer Experience Engineer @ talent-software-services

US | 2025-12-22
This role is for a Developer Experience Engineer at a San Francisco-based company, seeking someone with full-stack expertise, cloud-native knowledge, and a passion for automating developer... read more »
Cloud Computing, API, CI/CD, JavaScript, Python, Go, Git, DevOps, Kubernetes, Terraform, Jenkins, AWS, Agile/Scrum, RAG, LLM