> Markdown version of [/jobs/ext/3877037-data-engineer-big-data-ml-engineer](https://www.wearedevelopers.com/jobs/ext/3877037-data-engineer-big-data-ml-engineer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Data Engineer / Big Data ML Engineer - **Company:** zuven Technologies - **Location:** Plano, TX, United States - **Experience:** Experienced - **Contract:** Permanent contract - **Skills:** Java (Programming Language), Agile Methodology, Amazon Web Services, Microsoft Azure, Big Data, Cloud Computing, Cloud Database, Data Governance, Data Systems, Distributed Data Store, Apache Hadoop, Python (Programming Language), Key Management, DataOps, Scaled Agile Framework, SQL Databases, Workflow Management Systems, Apache Spark, Electronic Medical Records, Apache Kafka, Data Pipelines - **Published:** October 22, 2026 - **Apply:** https://www.careerjet.com/jobad/us41596686abda533a07646fb572284946 ## About the Role 4+ years of experience building or operating data pipeline and orchestration systems 4+ years of data or application engineering experience, including Java, Python and SQL 4+ years of experience building and operating real-time or event-driven data systems 4+ years of experience with distributed data and computing tools (Kafka, Spark, EMR, Hadoop, or equivalent) 4+ years of experience with cloud data warehousing platforms at scale 4+ years of experience with cloud platforms (AWS, Azure, or GCP) 3+ years of experience with pipeline scheduling and workflow orchestration tools 2+ years of experience with secure secrets management and credential handling in production systems 2+ years of experience working in Agile engineering environments Familiarity with data observability practices - monitoring, alerting, SLA tracking, and data quality frameworks Experience in financial services or other regulated, compliance-driven industries ## Description Collaborate with Agile teams to architect end-to-end data solutions - from ingestion and orchestration through to event streaming and downstream delivery