Sr. Associate Data Engineer, AI Data Products
Alternate Locations: Radnor, PA (Pennsylvania); Charlotte, NC (North Carolina); Fort Wayne, IN (Indiana); Greensboro, NC (North Carolina). Work Arrangement: Hybrid : Employee will work 3 days a week in a Lincoln office. Relocation assistance: is not available for this opportunity.
About the role
AIDA Data Strategy And Governance Lincoln Financial's AI, Data and Analytics (AIDA) organization is building the capabilities required for an AI-enabled business. Within AIDA, Data Strategy & Governance turns priority insurance and retirement use cases into governed, reusable data products and services. We work backward from the decisions and actions AI agents and applications must support, then build the common meaning, quality, metadata, lineage, and secure access needed to trust the result. We deliver with AIDA's infrastructure, platform, engineering, MLOps, and AI-native platform teams, with governance built into the product. In this role, you will build and operate the data and service components behind Lincoln's priority AI-ready data products. You will use Python and SQL to connect legacy sources, implement transformations and agent-facing interfaces, encode defined business rules, and make testing, lineage, and provenance part of the build. You will learn from senior engineers and business experts while taking increasing ownership of production work.
Responsibilities
- Work with product owners, data owners, stewards, and business experts to define the decisions the product must support, its authoritative sources, common terms, rules, and ownership.
- Design the product slice, including models, keys, effective-date logic, exceptions, data contracts, API and Model Context Protocol contracts, and versioning.
- Build and operate pipelines, dbt models, FastAPI and Pydantic services, and agent-facing tools using SQL, Python, orchestration, and approved AWS services.
- Embed quality, metadata, lineage, provenance, privacy, and security into the product, with tests and evaluations that prove source-to-response correctness and traceability.
- Own deployment and operation through CI/CD, observability, incident response, root-cause fixes, backfills, and recovery procedures.
- Review code, coach Associate engineers, integrate partner contributions, and turn proven solutions into reusable team patterns.