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Senior Data Engineer, AI Data Products

Pay
Pay not listedSimilar roles state $127K–$190K
Work setting
Not stated
Employment
Not stated

What you’ll work on

Full posting
  • Lead discovery with business owners to define use cases, outcomes and product boundaries

  • Design and build graph models in Amazon Neptune, including SPARQL queries and tuning

  • Implement GraphRAG and hybrid graph-vector retrieval with citations and grounding

  • Build AWS source-to-product pipelines and agent-facing APIs or MCP interfaces

  • Lead a delivery pod through production readiness, code reviews and knowledge transfer

From the employer’s posting
Lead discovery with business and product owners, domain experts, stewards, source owners
Design and build graph models in Amazon Neptune or comparable technology
Implement GraphRAG and hybrid graph-vector retrieval, including ingestion
Design and build AWS source-to-product pipelines and agent-facing APIs or Model Context Protocol interfaces
Lead a blended delivery pod through production readiness, code and design review
Education & alternatives
Must Haves: - A bachelor's degree or equivalent work experience, plus typically 5 or more years of relevant experience with ownership of complex production data systems or products. - Substantial hands-on experience building and operating graph solutions with Amazon Neptune or comparable technology, including graph modeling, SPARQL, query analysis, and performance tuning.

About Lincoln Financial

Lincoln Financial (NYSE: LNC) helps people to confidently plan for their version of a successful future.

In the employer’s words · Read in context

Apply at Lincoln Financial

Posting record

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Actively hiringFirst seen by us today, still listed, and not a repost of an earlier posting.

Status in our records
Live
First seen by us
Nov 11, 2026today
Recorded sightings
2
Last seen by us
Nov 12, 2026

These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.

How this job compares

Pay

$127K–$190K is typical

The middle half of what similar US postings state. This one doesn’t list pay.

From 2,239 postings in the last year. Stated ranges, not salaries paid.

Time since we first saw it

Day 0

Early. Similar jobs usually come down between day 6 and day 55.

From 13,291 similar postings that came down. Coming down is not always a hire.

Lincoln Financial is hiring

10 open jobs

Open jobs by the week we first saw them, last 12 weeks.

Hiring record

See how this role fits your experience

Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.

  • Python
  • SQL
  • AWS
  • MLflow
  • SageMaker
Where the posting names them
- Hands-on implementation of GraphRAG or comparable hybrid graph-vector retrieval, including ingestion, embeddings, retrieval, reranking, grounding, and citations. - Advanced Python and SQL, plus strong AWS data-platform experience, orchestration, data modeling, distributed processing, automated testing, CI/CD, and infrastructure as code. - Proven ability to translate a business capability into semantics, rules, contracts, controls, interfaces, and measurable evaluations, and to lead architecture decisions through influence while contributing hands-on.
- Implement GraphRAG and hybrid graph-vector retrieval, including ingestion, entity and relationship extraction, embeddings, graph enrichment, filtering, retrieval, reranking, grounding, and citations. - Design and build AWS source-to-product pipelines and agent-facing APIs or Model Context Protocol interfaces using fit-for-purpose lakehouse, orchestration, transformation, and infrastructure-as-code patterns. - Evaluate graph, relational, vector, search, and rules-based approaches against representative questions, expected evidence, answer quality, latency, security, operational complexity, and cost.
Nice to Haves: - Amazon Bedrock Knowledge Bases, OpenSearch, Bedrock AgentCore, SageMaker, MLflow, or comparable production AI and retrieval services. - Model Context Protocol design, authorization propagation, agent evaluation and observability, ontologies, entity resolution, feature stores, or knowledge-graph governance.

Your next step

Complete your application on jobs.lincolnfinancial.com. The employer’s form will show what is required.

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About Lincoln Financial

People
About 9,981 in 2024.Benefit plan filings (Form 5500)
Company
Listed as LNC.

Demand for Data Engineer roles

New Data Engineer postings at the employers we follow are up 7% over the last 6 weeks compared with the 6 before.

Weekly new Data Engineer postings at the same employers, from the week of August 17 to the week of November 2. The fewest in a week was 860, the most 1,354, and the latest week had 1,335.
August 17Last week

Each bar is one week of new postings. The darkest bars are the last 6 weeks.

Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.

About the role

We file this job under Data Engineer, by the work the posting describes.

Data engineers build and run the pipelines that copy data out of apps and outside services into a warehouse or lake, and fix them when a source changes or a load fails.

Expect SQL, Python, a cloud platform, a scheduler such as Airflow, and often tools for large data such as Spark or Kafka.

An analytics engineer works one step later, turning the raw data a data engineer lands into clean tables people can query.

US government figures for database architects

Median yearly pay, May 2025
$139,500
Expected change, 2025 to 2035
9.4% more jobsagainst 3.5% for all jobs

The government has no code for data engineers, so these figures are for the closest group, database architects, which includes data integration and data warehousing specialists.

Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1243.

Job description

View original posting ↗

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 #: 76678

 

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.

 

As a Senior Data Engineer, you wil lead the end-to-end technical direction and delivery of complex AI-ready data products. You will connect priority business and AI use cases to the data capabilities beneath them, including shared meaning, rules, quality, lineage, secure access, and reusable services. You will also lead hands-on graph and GraphRAG delivery where relationships and unstructured knowledge matter, while choosing simpler relational, search, or rules-based patterns when they fit better.

What you'll be doing

  • Lead discovery with business and product owners, domain experts, stewards, source owners, and partner AIDA pillars to define the questions, actions, outcomes, product boundaries, and accountable owners.
  • Design the product's canonical and consumer models, ontology and semantic layer, business rules, contracts, interfaces, quality controls, metadata, lineage, provenance, and secure access.
  • Design and build graph models in Amazon Neptune or comparable technology, including entities, relationships, effective dates, rules, provenance, SPARQL queries, and performance tuning.
  • Implement GraphRAG and hybrid graph-vector retrieval, including ingestion, entity and relationship extraction, embeddings, graph enrichment, filtering, retrieval, reranking, grounding, and citations.
  • Design and build AWS source-to-product pipelines and agent-facing APIs or Model Context Protocol interfaces using fit-for-purpose lakehouse, orchestration, transformation, and infrastructure-as-code patterns.
  • Evaluate graph, relational, vector, search, and rules-based approaches against representative questions, expected evidence, answer quality, latency, security, operational complexity, and cost.
  • Lead a blended delivery pod through production readiness, code and design review, incident prevention, partner knowledge transfer, and reusable patterns that avoid unnecessary complexity and lock-in.

What we’re looking for

Must Haves:

  • A bachelor's degree or equivalent work experience, plus typically 5 or more years of relevant experience with ownership of complex production data systems or products.
  • Substantial hands-on experience building and operating graph solutions with Amazon Neptune or comparable technology, including graph modeling, SPARQL, query analysis, and performance tuning.
  • Hands-on implementation of GraphRAG or comparable hybrid graph-vector retrieval, including ingestion, embeddings, retrieval, reranking, grounding, and citations.
  • Advanced Python and SQL, plus strong AWS data-platform experience, orchestration, data modeling, distributed processing, automated testing, CI/CD, and infrastructure as code.
  • Proven ability to translate a business capability into semantics, rules, contracts, controls, interfaces, and measurable evaluations, and to lead architecture decisions through influence while contributing hands-on.
  • Ownership of quality, lineage, privacy, access, observability, recovery, and production operations for sensitive or regulated data.

 

Nice to Haves:

  • Amazon Bedrock Knowledge Bases, OpenSearch, Bedrock AgentCore, SageMaker, MLflow, or comparable production AI and retrieval services.
  • Model Context Protocol design, authorization propagation, agent evaluation and observability, ontologies, entity resolution, feature stores, or knowledge-graph governance.
  • Deep insurance or financial-services experience and technical leadership across employees, contractors, consultants, or managed-service teams.

Application Deadline

Applications for this position will be accepted through 1/24/27 subject to earlier closure due to applicant volume.

 

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 leave

  • Competitive 401K and employee benefits

  • 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. 

 

Follow us on Facebook, X, LinkedIn, Instagram, and YouTube. For the latest company news, visit our newsroom. 

 

Be Aware of Fraudulent Recruiting Activities

If you are interested in a career at Lincoln, we encourage you to review our current openings and apply on our website. 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 fraudhotline@lfg.com if you encounter a recruiter or see a job opportunity that seems suspicious.

 

Additional Information

This position may be subject to Lincoln’s Political Contribution Policy.  An offer of employment may be contingent upon disclosing to Lincoln the details of certain political contributions. Lincoln may decline to extend an offer or terminate employment for this role if it determines political contributions made could have an adverse impact on Lincoln’s current or future business interests, misrepresentations were made, or for failure to fully disclose applicable political contributions and or fundraising activities.

 

Any unsolicited resumes or candidate profiles submitted through our web site or to personal e-mail accounts of employees of Lincoln Financial are considered property of Lincoln Financial and are not subject to payment of agency fees.

 

Lincoln Financial ("Lincoln" or "the Company") is an Equal Opportunity employer and, as such, is committed in policy and practice to recruit, hire, compensate, train and promote, in all job classifications, without regard to race, color, religion, sex, age, national origin or disability. Opportunities throughout Lincoln are available to employees and applicants are evaluated on the basis of job qualifications. If you are a person with a disability that impedes your ability to express your interest for a position through our online application process, or require TTY/TDD assistance, contact us by calling (866) 922-6543.

 

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

Este Empleador Participa en E-Verify. Ver el E-Verify avisos. 

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Pay

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Location & working pattern

Radnor, PA, US

Work Arrangement: Hybrid : Employee will work 3 days a week in a Lincoln office Relocation assistance: is not available for this opportunity.
More source context
- Design and build graph models in Amazon Neptune or comparable technology, including entities, relationships, effective dates, rules, provenance, SPARQL queries, and performance tuning. - Implement GraphRAG and hybrid graph-vector retrieval, including ingestion, entity and relationship extraction, embeddings, graph enrichment, filtering, retrieval, reranking, grounding, and citations. - Design and build AWS source-to-product pipelines and agent-facing APIs or Model Context Protocol interfaces using fit-for-purpose lakehouse, orchestration, transformation, and infrastructure-as-code patterns.

More relevant text appears in the full description.

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