Data Engineer II (AWS, Databricks, SQL, GenAI)
Core
Design, build, and operationalize complex data pipelines and solutions to contextualize data for enterprise-wide Artificial Intelligence, Machine Learning, and business intelligence initiatives.
Role type
Senior Data Engineer (AWS, Databricks, GenAI)
Builds
Data pipelines, data solutions, and analytical environments supporting AI/ML and BI.
Domain
Insurance / Data Engineering / Cloud
Deliverable
production ML models | product features
Required skills
Databricks (including DBT and Unity Catalog), Ab Initio, Snowflake, TeraData, API development and integration, Cloud platforms, SQL, GenAI tools (e.g., Claude Code), modern software engineering practices, data governance, data security, data quality.
Preferred skills
Domain expertise in insurance or adjacent systems, ability to lead team members, self-motivation in identifying opportunities.
Technologies
AWS, Databricks, DBT, Unity Catalog, Ab Initio, Snowflake, TeraData, Claude Code
Responsibilities
Build and operationalize complex data solutions; design complex data solutions; perform analysis of complex sources to determine value and use; incorporate core data management competencies including data governance, data security, and data quality; collaborate within and across teams to support delivery and educate end users; perform data and system analysis, assessment, and resolution for complex defects and incidents; test data movement, transformation code, and data components.
Seniority
Senior, hands-on IC with leadership potential