Staff Data Engineer
About the Job: We are seeking a Staff Data Engineer to lead the development of a central data platform that powers agent workflows BI dashboards and AI services across multiple domains including insurance CRMcommunications and more. You will be responsible for building and scaling pipelines from agency AMSs insurance carriers (via integrations or RPA) and third-party data providers such as LexisNexis and Verisk. The platform must be secure observable and high-performing supporting both real-time and batch data needs across internal role also involves automating manual ETL processes especially during onboarding and data mapping and collaborating cross-functionally to deliver high-quality usable data to BI AI and operations teams. What You ll Do:
Own the Data Platform
- Build high-scale multi-source pipelines (AMS carriers CRM comms 3rd-party enrichment)
- Architect for real-time batch processing with observability and access control baked in
Automate with AI
- Use LLMs or custom rules to automate onboarding workflows like mapping or normalization
- Build tools to reduce repetitive ETL work and accelerate data integration velocity
Support Multi-Domain Use
- Enable performance for insurance data customer comms CRM/case records and more
- Collaborate with BI AI and product teams to deliver clean and usable data models
Ensure Quality and Compliance
- Implement QA logging monitoring RBAC and PII protection
- Maintain integrity and trust in the data used by our platform and agents
Who You Are:
- 8 years of experience in data engineering or analytics engineering
- Expert in Python SQL and DBT (plus: Java)
- Proven experience with AWS-native tools: Redshift Lambda Glue Step Functions EventBridge etc.
- Experience working with operational databases (e.g. PostgreSQL DynamoDB etc.)
- Experience integrating structured unstructured data from external vendors or APIs
- Familiar with BI tools (QuickSight Tableau) and modern DataOps practices
- Able to flex between platform building BI support and automation
- Bonus: Insurance data familiarity (e.g. Epic ACORD Verisk) or LLM-driven data automation
Why Join Us
- Build the data backbone of an AI-native platform across multiple domains
- Work on high-impact pipelines and automations that drive the business
- Hybrid collaboration with a sharp mission-driven LA-based team
- Shape how data empowers our agents AI and business decisions