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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
Companies with Jobs
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Jobs in using Java for but please no
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data engineer
Rust Engineer @ cybereason
JP | 2025-12-28
Cybereason’s backend/frontend role reads like a security data engineer’s dream and a license to juggle: five-plus years of full‑stack work, Rust primacy with Go/Java/C++, and cloud-native,...
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AI/ML, Analytics, API, Computer Science, Rust, Go, Java, Cloud Computing, Docker, SQL, NoSQL, ELK, Datadog, Big Data, DWH, ETL/ELT, Kafka, Flink, Spark, Redis, Management, DevOps | ||
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data engineer
ALM Technical Support Engineer @ ptcinc
JP | 2025-12-27
PTC casts a broad net with a global Technical Support Engineer in its Support Services. The role is squarely customer-facing: you diagnose and fix enterprise business apps, cover Java or .NET...
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Management, Java, C#/.NET, XML, Computer Science | ||
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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 engineer
【EDH】 デジタルエンジニア職 EYデジタルハブ採用 @ ernstandyoung
JP | 2025-12-26
EY Digital Hub Tokyo is seeking digital engineers and senior digital engineers for client-facing work across requirements definition, design, development, testing, deployment and ongoing support...
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Azure, SaaS, CRM, Microsoft, ERP, Marketing, API, Cyber Security, AI/ML, DWH, Data Lake, BI, Java, JavaScript, React, C, Python, SQL Server, PostgreSQL, MySQL, SAP, DevOps, CDP, Management | ||
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data engineer
Senior Data Engineer @ bain-and-company
JP | 2025-12-26
Senior Data Engineer in Bain’s AIS Data Engineering within the AI, Insights & Solutions team. You’ll design, build and deploy data solutions for production-scale client ecosystems, and own the...
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AI/ML, Analytics, Management, Data Engineering, Data Science, Cloud Computing, Python, Scala, C, C++, Java, Go, Airflow, Beam, SQL, NoSQL, Databricks, PostgreSQL, SQL Server, Oracle, MySQL, Redis, MongoDB, ELK, Hive, Apache HBase, Teradata, Cassandra, Redshift, AWS, Azure, GCP, Kubernetes, Terraform, DevOps, CI/CD, GitHub, Computer Science, Agile/Scrum | ||
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data engineer
Senior Technical Solutions Engineer (Platform) @ databricks
JP | 2025-12-24
Databricks Senior Technical Solutions Engineer promises frontline tech support for the Databricks platform, spanning complex issues, best practices for custom builds, and cross-cloud integrations,...
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Databricks, Analytics, Big Data, AWS, Azure, Python, Java, Scala, SQL, Linux, Unix, AI/ML, Data Lakehouse, Spark, Delta |
