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.
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