Associate Data Engineer, AI Data Products

Lincoln Financial Group; Radnor (Delaware County); Hybrid; USD 95,000 - 130,000; Full time

Benefits offered by this job

Employee assistance program

Tuition assistance program

Leadership development

Job summary

Lincoln Financial Group is seeking a data engineering professional to build ingested and transformed data models using Python and SQL, and to develop services with FastAPI and Pydantic. You will implement tested logic from business rules, integrate with AWS, and contribute to data quality and governance.

You will deploy via GitLab CI/CD, write comprehensive tests, and collaborate with subject matter experts to ensure accurate definitions and secure data handling in a regulated financial services

Qualifications

• Bachelor's degree or equivalent work experience.
• Hands-on Python and SQL with solid data modeling.
• Experience with FastAPI, Pydantic, pytest.
• Experience building or extending a Model Context Protocol server; knowledge of Git, CI/CD, cloud data env.

Responsibilities

• Build ingestion, transformation, and curated data models using SQL, Python, and approved AWS services.
• Build and maintain FastAPI and Pydantic services with clear schemas, validation, and documentation.
• Translate source mappings and business rules into tested logic with domain experts.
• Write unit and integration tests using pytest and mocks.
• Deploy through GitLab CI/CD; monitor with logs, metrics, and runbooks.
• Capture metadata, lineage, provenance, and access requirements as part of done.

Skills

Python

SQL

Data modeling

Git

CI/CD

Communication

Education

Bachelor's degree or equivalent

Tools

FastAPI

Pydantic

pytest

GitLab CI/CD

AWS

Model Context Protocol

Job description

Be Aware of Fraudulent Recruiting Activities: Lincoln values the privacy and security of every applicant and urges all applicants to diligently protect their sensitive personal information from scams targeting job seekers. These scams can take many forms including fake employment applications, bogus interviews and falsified offer letters.

Lincoln will not ask applicants to provide their social security numbers, date of birth, bank account information or other sensitive information in job applications. Additionally, our recruiters do not communicate with applicants through free e-mail accounts (Gmail, Yahoo, Hotmail) or conduct interviews utilizing video chat rooms. We will never ask applicants to provide payment during the hiring process or extend an offer without conducting a phone, live video or in-person interview. Please contact Lincoln's fraud team at [e-mail] if you encounter a recruiter or see a job opportunity that seems suspicious.

Select how often (in days) to receive an alert:

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

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.

Nice to Haves

• 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 andleadership attributes

Leadership development and virtual training opportunities

Free financial counseling, health coaching and employee assistance program

Tuition assistance program

Work arrangements that work for you

Effective productivity/technology tools and training

The pay range for this position is with anticipated pay for new hires between the minimum and midpoint of the range and could vary above and below the listed range as permitted by applicable law. Pay is based on non‑discriminatory factors including but not limited to work experience, education, location, licensure requirements, proficiency and qualifications required for the role. The base pay is just one component of Lincoln’s total rewards package for employees. In addition, 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, sales incentives and Lincoln’s standard benefits package.

About The Company

Lincoln Financial (NYSE: LNC) helps people to confidently plan for their version of a successful future. We focus on identifying a clear path to financial security, with products including annuities, life insurance, group protection, and retirement plan services.

With our 120‑year track record of expertise and integrity, millions of customers trust our solutions and service to help put their goals in reach.

Lincoln Financial Distributors, a broker‑dealer, is the wholesale distribution organization of Lincoln Financial. Lincoln Financial is the marketing name for Lincoln Financial Corporation and its affiliates including The Lincoln National Life Insurance Company, Fort Wayne, IN, and Lincoln Life & Annuity Company of New York, Syracuse, NY. Lincoln Financial affiliates, their distributors, and their respective employees, representatives and/or insurance agents do not provide tax, accounting or legal advice.

Lincoln is committed to creating an inclusive environment and is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.

This Employer Participates in E-Verify. See the E-Verify notices.