Data Engineer, LabOps
Core
Building ETL/ELT pipelines and data warehousing solutions to grow data maturity for the lab organization.
Role type
Mid/Senior Data Engineer
Builds
Data pipelines and data products for the lab
Domain
Technology / Data Engineering
Deliverable
production ML models | product features | dashboards & analysis
Required skills
ETL/ELT pipeline development, Python, SQL, data warehousing, legacy database integration, document processing
Preferred skills
Azure or AWS, containerization, Airflow, Spark, Pandas, Linux environment, Git/Github, PowerBI
Technologies
Azure BI Stack, Power BI, Airflow, Spark, Pandas, Git, Github
Responsibilities
Own end-to-end ingest and egress frameworks for data pipelines, Partner with operations, product, and engineering teams to build data solutions, Design and roadmap UL's data maturity
Seniority
Mid/Senior, hands-on IC
Sourced via adzuna · Listed on CareerPlan, which tracks 70,000+ jobs from 20+ sources.
