MongoDB
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358
Companies looking for
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Back in the aughts, relational databases were choking on the sheer volume of data being generated, and the cries for something… different grew deafening. MongoDB emerged, promising a flexible, schema-less haven for unstructured and semi-structured data. Quite clever, really, though one does wonder if abandoning decades of relational wisdom was truly the answer. It traded ACID compliance for eventual consistency, a gamble that appealed to developers building at scale, and frankly, tired of endless schema migrations.
Today, MongoDB is a heavyweight, powering everything from e-commerce platforms to IoT applications. It’s essentially the lovechild of a document store and a key-value cache, offering horizontal scalability that traditional SQL databases often struggle to match. While Cassandra and Couchbase offer similar capabilities, MongoDB’s relatively easy learning curve and robust tooling have cemented its position as a leading NoSQL contender. It’s not a silver bullet, mind you, and data integrity remains a constant concern, but for certain workloads, it’s undeniably effective—and remarkably popular.
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Jobs in using MongoDB for but please no
| Marketing, Cloud Computing, CI/CD, Agile/Scrum, MongoDB, Redis, Datadog, Kubernetes, React | |||
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data engineer
Data Engineer @ mercor-ai
US | 2025-12-26
| USD
130000 - 500000
/ year
Mercor sits at the uneasy crossroads of labor markets and AI research, a unicorn press release backed by a $10B Series C and a five‑day in‑person SF grind. The role is a full‑stack data engineer...
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AI/ML, C, Data Science, MongoDB, PostHog, dbt, Fivetran, SQL, Python, Data Quality, Data Engineering, Modern Data Stack, Snowflake, ETL/ELT, Analytics, SaaS, Data Modelling, Data Governance | ||
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promoted
The Fundamentals of Analytics EngineeringThe 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. |
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data scientist
Product Manager 3, Internal AI @ mongodbinc
US | 2025-12-23
| USD
108000 - 212000
/ year
A product management role focused on internal AI tools within MongoDB, involving lifecycle support, stakeholder collaboration, and responsible AI practices. The differentiated aspect is the...
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AI/ML, Management, Analytics, LLM, Computer Science, Azure, AWS, GCP, SQL, MongoDB, Cloud Computing |
