JPMorgan Chase
Lead Data Engineer
Columbus, OH · Full-time · Posted Sep 24, 2026
- Experience
- 5+ years of applied experience; 5+ years of hands-on data engineering experience.
- Education
- Formal training or certification on data engineering concepts.
About the job
Embeds with infrastructure teams to build governed, high-quality asset and configuration data products that support security controls and enterprise analytics.
What you'll do
- Discover infrastructure data sources, ownership, definitions, and quality gaps, then create enablement plans.
- Deliver governed data integrations and establish data quality rules, monitoring, contracts, and metadata practices.
- Standardize and certify infrastructure inventories while aligning stakeholders on authoritative sources and stewardship.
What they ask for
- Formal training or certification in data engineering concepts and 5+ years of applied experience.
- 5+ years of hands-on data engineering across data modeling, pipeline development, and data quality engineering.
- Proficiency in Python and SQL.
- Experience diagnosing data quality issues and implementing preventive controls; experience working directly with partner teams.
Nice to have
- Experience with IT asset or configuration management; exposure to data mesh and data product models.
- Experience with semantic modeling, graph databases, Kafka, Hadoop/Spark, or Java.
Tools
Python, SQL, Kafka, Hadoop, Spark, Java, Verum SOR
Model-written summary · the original posting is authoritative