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The enterprise workhorse that refuses to quit. For data engineering, Java is a powerhouse for building robust, scalable systems like custom ETL pipelines, distributed frameworks (hello, Hadoop), and real-time processing engines like Kafka Streams. Its JVM ecosystem and libraries (e.g., Apache Spark, Flink) make it a cornerstone for high-performance data applications where reliability matters.
That said, Java’s verbosity can feel like writing a novel for every task, and its boilerplate-heavy style makes simple things unnecessarily painful. While its performance is solid and memory management reliable, it lacks the modern elegance of languages like Go or Python. Plus, debugging messy stack traces from poorly tuned JVMs is no picnic.
Java thrives in large-scale, structured environments where maintainability and backward compatibility are king. It’s not the coolest language at the party, but when your data stack needs to scale like a Fortune 500 company, Java delivers—with plenty of paperwork.
Used together with Java
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Compare to other programming languagesJobs (this month)
1929
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Jobs in using Java for but please no
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analytics engineer
Analytics Engineer II @ stubhub
US | 2025-12-27
| USD
150000 - 200000
/ year
StubHub’s Analytics Engineer role in the Product Experimentation domain promises to scale data assets and analytic frameworks across a hybrid New York setup. You’ll manage cross-functional data...
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Analytics, Data Engineering, Analytics Engineering, BI, Cloud Computing, BigQuery, Snowflake, Databricks, SQL, Python, Java, Airflow, dbt, Tableau, Data Streaming, Management | ||
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analytics engineer
2026 - Analytics Engineering Intern, NYC @ mongodbinc
US | 2025-12-25
| USD
56576 - 82368
/ year
An internship at MongoDB for students in their final years, focusing on analytics engineering. It offers the chance to work on real data pipelines; the differentiator is the potential for...
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Analytics Engineering, Analytics, Computer Science, Data Science, Python, R, Java, Data Modelling, ETL/ELT, SQL, MongoDB, AI/ML, Cloud Computing, AWS, GCP, Azure | ||
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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. |
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analytics engineer
Senior Analytics Engineer @ lord-abbett-&-co-llc
US | 2025-12-23
| USD
160000 - 170000
/ year
Lord Abbett seeks a Senior Analytics Engineer with deep technical expertise and at least 10 years of experience in application design, data pipelines, and finance-related analytics. The role's...
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Analytics, Python, Java, Computer Science, API, SQL, Cloud Computing, AWS, Azure, GCP, Snowflake, Spark, Git, GitHub, DevOps, Jira, Confluence, CI/CD, Jenkins, Kafka, Management |
