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Lincoln Financial

Insurance, retirement, and financial services provider

Sr. Associate Data Engineer - AI Data Products

Data EngineeringUpdated on Nov 14
Full-timeNo salary listed

About the Job

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, continuous integration and continuous delivery, Git-based review, and production troubleshooting.
  • 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.

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 continuous integration and continuous delivery, 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.

Desired Qualifications

  • Experience with AWS Lake Formation, Glue, Athena, IAM, Lambda, ECS, API Gateway, Airflow or MWAA, and infrastructure as code.
  • Experience with semantic modeling, ontology, graph or vector data, hybrid retrieval, document ingestion, Amazon Bedrock, AgentCore, or agent evaluation.
  • Experience with insurance or financial-services workflows, or making contractor, consultant, or other-team deliverables supportable.

About the Company

Lincoln Financial

Insurance, retirement, and financial services provider

Lincoln Financial Group offers life insurance, annuities, and retirement income products through its network of affiliated companies, and also provides securities and investment advisory services via affiliated broker-dealers. Its products combine insurance coverage or retirement-focused contracts with investment options, where customers fund premiums, choose subaccounts or riders, and receive benefits such as death benefits, living benefits, or guaranteed income in retirement. The company differentiates itself with a family of affiliated brands and distributors that coordinate life, annuity, and advisory products under one umbrella. Its goal is to help individuals and families protect loved ones, plan for retirement, and achieve financial security through integrated protection and investment solutions.

Company size
Not listed
Company stage
Not listed
Total funding
$128.8M
Headquarters
Radnor Township, Pennsylvania
Founded
1905

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