Data Engineer I (AWS, Databricks)
Core
Design, build, and operationalize complex data pipelines to contextualize enterprise data and support AI, Machine Learning, and business intelligence.
Role type
Data Engineer I (AWS, Databricks)
Builds
Data pipelines and solutions for the entire enterprise
Domain
Insurance / Cloud Data Engineering
Deliverable
production ML models | product features
Required skills
Data pipeline design and optimization, AWS Lambda/EventBridge/Step Functions/DynamoDB/Athena, Databricks Notebooks/Jobs/Unity Catalog/Genie, streaming and near real-time data processing, software engineering practices (testing, CI/CD, version control), data governance and security, root cause analysis and debugging
Preferred skills
Experience with AI tools (e.g., Claude), developer productivity tools (e.g., GitHub Copilot), Jira, GitHub, Snyk, ServiceNow, Autosys
Technologies
AWS, Databricks, Lambda, EventBridge, Step Functions, DynamoDB, Athena, Jira, GitHub, Snyk, ServiceNow, Autosys
Responsibilities
Build and operationalize complex data solutions, design data solutions, analyze sources to determine value for analytical processes, incorporate data governance and security, collaborate to support delivery and educate end users, perform data and system analysis for defects and incidents, test data movement and transformation code
Seniority
Mid-level IC (6+ years experience)
