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Principal Data Engineer

Job in Virginia, St. Louis County, Minnesota, 55792, USA
Listing for: Genworth
Full Time position
Listed on 2026-01-12
Job specializations:
  • IT/Tech
    Data Engineer
Salary/Wage Range or Industry Benchmark: 100000 - 125000 USD Yearly USD 100000.00 125000.00 YEAR
Job Description & How to Apply Below

Principal Data Engineer – Genworth

Join us to apply for the Principal Data Engineer role at Genworth
.

At Genworth, we empower families to navigate the aging journey with confidence. We are compassionate, experienced allies for those navigating care with guidance, products, and services that meet families where they are. We also bring those experiences to our work in serving our millions of policyholders each day.

We apply the same compassion and empathy as we work with each other and our local communities. Genworth values all perspectives, characteristics, and experiences so that employees can bring their full, authentic selves to work to help each other and our company succeed.

Our four values guide our strategy, decisions, and interactions:

  • Make it human. We care about the people that make up our customers, colleagues, and communities.
  • Make it about others. We do what's best for our customers and collaborate to drive progress.
  • Make it happen. We work with intention toward a common purpose and forge ways forward together.
  • Make it better. We create fulfilling purpose-driven careers by learning from the world and each other.

This role is not eligible for employment visa sponsorship.

Position Location

This position is available to Virginia residents as Richmond or Lynchburg, VA. It is a hybrid in-office applicant model or remote applicant residing in states/locations under Eastern or Central Standard Time (Alabama, Arkansas, Connecticut, Delaware, Florida, Georgia, Illinois, Indiana, Iowa, Kansas, Kentucky, Louisiana, Maine, Maryland, Massachusetts, Michigan, Minnesota, Mississippi, Missouri, Nebraska, New Hampshire, New Jersey, New York, North Carolina, North Dakota, Ohio, Oklahoma, Pennsylvania, Rhode Island, South Carolina, South Dakota, Tennessee, Texas, Virginia, Washington DC, Vermont, West Virginia, or Wisconsin).

Your

Role

The Life, Annuity and Long Term Care Data solutions team, which is responsible for the end-to-end data architecture, data governance, and data engineering scope from source systems to data consumers, is seeking a Principal Level Data Engineer. You will lead, mentor, and assist team members in the software development lifecycle process from design, build, test, and run responsibilities.

The candidate will join a high-performing team of twenty-five individuals, organized into four agile teams consisting of data product owners, agile leaders, data engineers, data governance analysts, data modelers, testers, and production operation personnel. You will work closely with the agile leader, data product owner, principal architect, and other functional leads from security, cloud, testing, and data modeling.

What You Will Be Doing
  • Designing, building, testing, and production support of analytical pipelines
  • Implementing Data Bricks streaming and analytical data processes
  • Leading design and coding standards, including code reviews
  • Building and re‑using data tests for subsequent releases
  • Delta tables with streaming pipelines including APIs for UX consumption
  • Spark performance optimization, including cluster and coding optimization methods
  • Production monitoring and defect resolution
  • CI/CD implementation in analytical pipelines
  • Capable of performing POCs to demonstrate new coding, Data Bricks, or other platform features such as AI programming and testing code generation
What You Bring
  • Capable of influencing other technical leaders and teams to align to common practices, frameworks, and tool usage patterns
  • Proactive with business leadership on solution options and recommendations that address requirements, including how business data self-service data processes are integrated into the architecture
  • Experience using Agile methodologies and creating good stories that complete a solution
  • Performing software engineering disciplines from design, build, testing, and production support
  • Leading technical projects and decomposing work across team members
  • Mentoring and developing other data professionals so they can grow and advance
  • Comfortable dealing with ambiguity, influencing or driving the process
Nice to Have
  • Insurance business process and data expertise
  • Medical data knowledge
  • Data governance data needed by business…
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