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.   Requisition #:  76676   The Role at a Glance

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. This role 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.                                                      What you'll be doing

Build ingestion, transformation, and curated data models using SQL, Python, and approved AWS services. Build and maintain FastAPI and Pydantic services and Model Context Protocol tools with clear schemas, validation, error handling, and documentation. Turn source mappings and defined business rules into tested logic; work with business experts to clarify definitions and exceptions. Write unit, integration, contract, reconciliation, and data-quality tests using pytest, mocks, and reusable fixtures. Deploy through GitLab CI/CD or comparable pipelines; use logs, metrics, traces, and runbooks to support production workloads. Capture metadata, lineage, provenance, and access requirements as part of the definition of done. What we’re looking for

Must Haves

A bachelor's degree or equivalent work experience, plus typically 1 to 3 years of relevant experience or equivalent demonstrated capability. Hands-on Python and SQL, with a solid grasp of joins, keys, data types, and foundational data modeling. Working experience with FastAPI, Pydantic, pytest, and testable Python design. Experience building or extending a Model Context Protocol server or a comparable agent-facing tool interface, plus working knowledge of Git, CI/CD, and a cloud data environment. Ability to learn an unfamiliar business domain quickly, explain implementation choices clearly, and handle sensitive data with care.

AWS Glue, Athena, Lake Formation, IAM, Lambda, ECS, or comparable services. Dbt, Apache Airflow or Amazon MWAA, Spark, or comparable data-engineering technologies. Document ingestion, classification, retrieval or RAG data preparation, or experience in insurance, financial services, healthcare, or another regulated industry. Application Deadline

What’s it like to work here? At Lincoln Financial, we love what we do. We make meaningful contributions each and every day to empower our customers to take charge of their lives. Working alongside dedicated and talented colleagues, we build fulfilling careers and stronger communities through a company that values our unique perspectives, insights and contributions and invests in programs that empower each of us to take charge of our own future.    What’s in it for you:

Clearly defined career tracks and job levels, along with associated behaviors for each of Lincoln's core values and leadership attributes

Leadership development and virtual training opportunities

PTO/parental