Data Engineer

New Yesterday

Job Title:  Data Engineer
Location: Remote
Looking for a Data Engineer to build and manage data pipelines and warehouses supporting analytics, AI, and operations for financial products offered by insurance companies.
Must Haves:
3+ years in data engineering, with strong Python and SQL. Experience with cloud (AWS/GCP), tools like Airflow or dbt, and containerization (Docker/Kubernetes). Familiarity with streaming platforms and insurance/financial data a plus. Strong communication and cross-functional collaboration skills.
What the Client Needs you to Do:
Build ETL/ELT pipelines for internal and external data. Develop scalable data models and warehouse layers (e.g., Snowflake). Support real-time pipelines using Kafka or Kinesis. Implement data quality monitoring and validation tools. Collaborate with AI/analytics teams and document pipeline architecture. Contribute to data governance, access control, and compliance.
Additional Information:
W2 employees of Overture Partners who work 30 or more hours per week are eligible for the following benefits: medical (choice of 3 plans), 401(k) starting on day one, a variety of voluntary benefits including life and disability insurance, and sick time if required by law in the worked-in state/locality.
#25080
Location:
Us