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Remote, mid-level Java/data engineer role with broad requirements and known brand increases candidate competition.
Data engineering and Java backend skills are broadly transferable across industries.
Explicit 4+ years plus mandatory Java and data-platform (Spark/Kafka) experience makes shortlisting relatively strict.
Develop and maintain Java-based backend and data processing services supporting scalable data ingestion and transformation.
Design, implement, and troubleshoot distributed data and backend application systems involving APIs, databases, and large-scale platforms like Spark and Kafka.
Collaborate with cross-functional engineering teams to deliver and operate performant, reliable, and maintainable backend data services in an Agile environment.
4+ years of professional experience in software engineering with strong hands-on Java development.
Experience with data-oriented systems including ETL, backend data services, and distributed application design.
Familiarity with Spark, Kafka, or similar large-scale data platform technologies.
Contract position based in APAC with required U.S. Central Time coverage; preferably available through 11:00 a.m. U.S. Central Time.
Experienced in building and supporting production Java services integrated with large-scale data platforms and distributed systems.
Comfortable working within Agile cross-functional teams contributing quickly to existing codebases and operational systems.
Operationally focused on delivering scalable, high-volume enterprise backend and data engineering solutions.