> Markdown version of [/jobs/ext/4385951-data-engineer-governance](https://www.wearedevelopers.com/jobs/ext/4385951-data-engineer-governance). 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 (Governance) - **Company:** Insight Global - **Location:** Newark, NJ, United States - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** JavaScript (Programming Language), Application Programming Interfaces (APIs), Amazon Web Services, Amazon S3, Profiling, Data Governance, Python (Programming Language), PostgreSQL, Metadata, Microsoft SQL Server, MongoDB, NoSQL, Oracle (Applications), Power BI, Data Streaming, Microsoft Fabric, Apache Kafka, Restful APIs, Amazon Simple Queue Service (SQS), Marketplace - **Published:** October 15, 2026 - **Apply:** https://www.techcareers.com/job.asp?id=3449066969&tx=JK8579FFQ&pt=1&aff=0B19D771-A501-4A5E-8338-2A822B784D54&utm_source=Job%20Feed&utm_medium=textkernel&utm_campaign=DE&utm_term=0B19D771-A501-4A5E-8338-2A822B784D54 ## About the Role Expert-level Informatica CDGC (Catalog, Lineage, Classification, Governance) Hands-on Informatica Data Products & Marketplace Strong Informatica Profiling experience Experience implementing metadata ingestion for MongoDB and AWS DocumentDB where native connectors are unavailable Metadata scanning and governance for REST APIs, Kafka, AWS Kinesis/SQS Strong Python and/or Java scripting skills Experience with Oracle, SQL Server, PostgreSQL AWS experience including S3, DocumentDB, Kinesis Strong understanding of data governance, glossary management, classification, and stewardship Microsoft Fabric or Power BI lineage integration Informatica CDI Denodo or Atacama RDM Financial Services or Insurance industry experience ## Description Seeking a senior-level Data Engineer consultant to lead metadata scanning, cataloging, lineage, governance, and Data Product implementation across a complex enterprise data ecosystem, including relational, NoSQL, API, and event-driven sources.