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Lincoln Financial

Associate Data Engineer, AI Data Products

Lincoln Financial
Radnor, PA Full time Posted 26d ago
Backend Developer Python Api Development Cloud Operations Data Data Analysis Data Analytics Data Architecture Data Engineer Data Integration Data Pipeline Data Platform Data Processing Data Warehouse Database Databases Information Technology (IT) Programming Language Programming Languages SQL
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Job Description

As part of the AI, Data and Analytics (AIDA) organization at Lincoln Financial, you will build and operate the data and service capabilities that support priority AI-ready data products. The work combines Python and SQL development with production-grade data engineering practices, including testing, lineage, and provenance.

Responsibilities

  • Build ingestion, transformation, and curated data models using SQL, Python, and approved AWS services.
  • Develop and maintain FastAPI and Pydantic services, along with Model Context Protocol tools, using clear schemas, validation, error handling, and documentation.
  • Convert source mappings and defined business rules into tested implementations, partnering with business experts to refine definitions and exceptions.
  • Create unit, integration, contract, reconciliation, and data-quality tests using pytest, mocks, and reusable fixtures.
  • Deploy changes using GitLab CI/CD or comparable pipelines, and support production operations through logs, metrics, traces, and runbooks.
  • Include metadata, lineage, provenance, and access requirements as part of the definition of done for production delivery.

Requirements

  • 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 strong understanding 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, along with practical knowledge of Git, CI/CD, and a cloud data environment.
  • Ability to learn an unfamiliar business domain quickly, communicate implementation choices clearly, and handle sensitive data with care.

Technologies

Python, SQL, FastAPI, Pydantic, Model Context Protocol, pytest, GitLab CI/CD, Git, AWS Glue, Athena, Lake Formation, IAM, Lambda, ECS, dbt, Apache Airflow, Amazon MWAA, Spark

Nice to Have

  • Experience with AWS Glue, Athena, Lake Formation, IAM, Lambda, ECS, or comparable services.
  • Familiarity with dbt, Apache Airflow or Amazon MWAA, Spark, or comparable data-engineering technologies.
  • Background in document ingestion, classification, retrieval or RAG data preparation, or experience in insurance, financial services, healthcare, or another regulated industry.

Benefits

  • Clearly defined career tracks and job levels, including associated behaviors tied to Lincoln’s core values and leadership attributes.
  • Leadership development and virtual training opportunities.
  • PTO and parental leave.
  • Competitive 401K and employee benefits.
  • Free financial counseling, health coaching, and an employee assistance program.
  • Tuition assistance program.
  • Work arrangements that work for you.
  • Effective productivity and technology tools, plus training.

Work Arrangement

Hybrid: The role requires working 3 days per week in a Lincoln office.

Relocation Assistance

Relocation assistance is not available for this opportunity.

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