Sr. Associate Data Engineer, AI Data Products

Lincoln Financial is hiring a Sr. Associate Data Engineer to build and operate data and service components for priority AI-ready data products. The role connects legacy sources, implements transformations and agent-facing interfaces, and embeds business rules, testing, lineage, provenance, and secure access into production data products.

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

Preferred

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

AWS Lake Formation

AWS Glue

Amazon Athena

AWS IAM

AWS Lambda

Amazon ECS

Amazon API Gateway

Apache Airflow

Amazon MWAA

Infrastructure as Code

Semantic Modeling

Ontology

Graph Data

Vector Data

Hybrid Retrieval

Document Ingestion

Amazon Bedrock

Amazon AgentCore

Agent Evaluation

Insurance Workflows

Financial Services Workflows

Supportable Deliverables

Benefits

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 leave

Competitive 401K and employee benefits

Free financial counseling, health coaching and employee assistance program

Tuition assistance program

Hybrid work arrangement: 3 days a week in a Lincoln office

Effective productivity/technology tools and training

The role may be eligible for the Annual Incentive Program, which is discretionary and based on the performance of the company, business unit and individual.

Other rewards may include long-term incentives and sales incentives.

Company

Financial services offering annuities, insurance, investments, and retirement plans.

Radnor, Pennsylvania, USA

https://www.lincolnfinancial.com/

Founded in 1905

10001+ employees

Qualifications

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

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

A bachelor's degree or equivalent work experience, plus typically 3 to 5 years of relevant experience or equivalent demonstrated capability.

Required skills

Python, SQL, FastAPI, Pydantic, Asynchronous Programming, Model Context Protocol (MCP), Automated Testing, dbt, AWS, CI/CD, Git

Experience

3+ years