Senior Data Engineer
Core
Design and implement high-performance data pipelines and systems to support analytics and AI initiatives on a next-generation Snowflake platform.
Role type
Senior Data Engineer (Technical Leadership)
Builds
Enterprise data modernization solutions, data pipelines, and data products for business analytics and AI.
Domain
Insurance / Data Engineering
Deliverable
production ML models | product features | infrastructure
Required skills
SQL, Python, Shell, Terraform, Snowflake, dbt Core/Cloud, AWS Cloud, relational databases, NoSQL databases, data orchestration (Airflow/Zena), data governance, root cause analysis, technical architecture design, agile delivery, team mentorship, technical documentation.
Preferred skills
Insurance domain knowledge, AI/ML & GenAI operationalization experience, SnowPRO certifications, dbt Developer certification, AWS Cloud Practitioner certification.
Technologies
Snowflake, dbt Core/Cloud, AWS, PostgreSQL, Amazon Aurora, Hadoop, MongoDB, Snowsight, Streamlit, Qlik, SAP BusinessObjects, Zena, AWS Managed Airflow.
Responsibilities
Define and drive data engineering strategy and standards; develop solution architectures; lead data pipeline design and implementation; write and maintain code; champion data quality and governance; perform root cause analysis for complex data issues; lead agile ceremonies; mentor team members; collaborate with cross-functional teams; produce technical documentation; support hiring and onboarding.
Seniority
Senior, hands-on IC with leadership responsibilities