Sr. Associate Data Engineer, AI Data Products
About The Position
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.
Requirements
- A bachelor's degree or equivalent work experience, plus typically 3 to 5 years of relevant experience or equivalent demonstrated capability.
- Production experience with Python, SQL, FastAPI, Pydantic, asynchronous programming, packaging, and automated testing.
- Hands-on experience developing, deploying, and operating Model Context Protocol servers or comparable agent-facing tool interfaces.
- Experience with AWS data services, orchestration, dbt or comparable transformation tooling, CI/CD, Git-based review, and production troubleshooting.
- Proven ability to turn ambiguous business definitions and expert rules into durable models, contracts, controls, and tested logic, and to own a sensitive production capability with limited supervision.
Nice To Haves
- AWS Lake Formation, Glue, Athena, IAM, Lambda, ECS, API Gateway, Airflow or MWAA, and infrastructure as code.
- Semantic modeling, ontology, graph or vector data, hybrid retrieval, document ingestion, Amazon Bedrock, AgentCore, or agent evaluation.
- Insurance or financial-services workflows, or experience making contractor, consultant, or other-team deliverables supportable.
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.
Benefits
- PTO/parental leave
- Competitive 401K and employee benefits
- Free financial counseling, health coaching and employee assistance program
- Tuition assistance program
- Work arrangements that work for you
- Effective productivity/technology tools and training
Stand Out From the Crowd
Upload your resume and get instant feedback on how well it matches this job.
What This Job Offers
Job Type
Full-time
Career Level
Mid Level
Education Level
Associate degree
