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GE
Genworth

Lead Data Engineer

Salary$121k – $187k
LocationRichmond, Virginia
Also inLynchburg, VA
Work modehybrid
Typefull-time
SeniorityLead
Experience3+ yrs
Company size10,000+ people
First seenOct 4, 2026 · 1w ago
Verified live1d ago
At a glanceSummarised by Seekless from the posting.
Must have7
3+ years of hands-on Databricks experience
Proven experience in a Tech Lead role
Strong communication skills with the ability to mentor, influence, and align cross-functional stakeholders
Ability to engage proactively with business leaders to recommend solutions aligned to strategy
Solid grounding in general analytics, data warehousing, and modern data engineering practices
Experience working in Agile frameworks and writing high-quality user stories
Ability to navigate ambiguity and provide clarity for your team and partners
Nice to have4
Azure and Fabric cloud experience
Insurance industry business process and data knowledge
Medical data experience
Familiarity with data governance and data quality needs for business consumers
Eligibility3
Candidates must be authorized to work in the United States
This role is not eligible for employment visa sponsorship
Able to work primarily during Eastern Time Zone business hours
Skills
Databricks
Azure
Fabric
Spark
Benefits
Health insurance
401(k)
Unlimited PTO
Tuition reimbursement
Student loan repayment
Gym membership reimbursement
Employee assistance program
Paid family leave
About the company
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. Further, we are the spouses, children, siblings, friends, and neighbors of those that need care—and we bring those experiences with us to work in serving our millions of policyholders each day.
We apply that 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. We celebrate our diversity and understand that being intentional about inclusion is the only way to create a sense of belonging for all associates. We also invest in the vitality of our local communities through grants from the Genworth Foundation, event sponsorships, and employee volunteerism.
Our four values guide our strategy, our decisions, and our 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.
POSITION TITLE
Lead Data Engineer
This role is not eligible for employment visa sponsorship
POSITION LOCATION
This role is open to remote candidates residing in the following states: Connecticut, Delaware, Florida, Georgia, Maine, Maryland, Massachusetts, Michigan, New Hampshire, New Jersey, New York, North Carolina, Ohio, Pennsylvania, Rhode Island, South Carolina, Vermont, Virginia, and West Virginia, as well as Washington, D.C. Candidates must be authorized to work in the United States and be able to work primarily during Eastern Time Zone business hours. We will give preference to those within driving distance to Richmond with an expectation that some travel regardless of location will be required
*Hybrid in-office would be required if you reside within 50 miles of our Richmond or Lynchburg, VA office. Required in-office days are Tuesdays, Wednesdays and Thursdays with working hours targeting our core business hours of 9am-5pm EST.
YOUR ROLE
The Life, Annuity, and Long-Term Care Data Solutions team —responsible for end-to-end‑to‑end data architecture, data governance, and data engineering from source systems to data consumers—is seeking a Lead Data Engineer with strong Databricks expertise and proven experience in a Tech Lead capacity.
In this role, you will lead and mentor data engineering tech leads across multiple build teams that use DataBricks and a data engineering CoE (Center of Excellence), guiding them through the full software development lifecycle including design, build, test, and run. You will lead the definition of best practices, establish common code frameworks, elevate engineering maturity, prove out and determine when new DataBricks features should be implemented, and ensure consistent delivery of high-quality‑quality data products and analytical solutions across build teams.
You will be part of a high performing, ‑performing, mission‑driven organization of ~25 individuals across four agile teams. Collaboration will be central as you work closely with the solution architects, agile team tech leads, data product owner, and other partners across security, cloud, testing, and data modeling.
The platform leverages a modern streaming architecture supporting both transactional and analytical pipelines, grounded in Medallion and OneLake design principles. A primary outcome for this role and others on the team is overseeing the implementation of DataBricks that will replace many legacy analytical platforms that result in new and better business outcomes.
What you will be doing
•
Leading 3–4 build teams, providing technical direction, coaching, mentoring, and technical governance.
•
May directly lead some data engineers for POCs, building coding frameworks that will be shared across teams, and other re-usable data assets.
•
May perform hands on designing, building, testing, and supporting analytical pipelines.
•
Establishing and enforcing design, engineering, and coding standards, including code reviews.
•
Leading CI/CD and designing reusable data tests for future releases.
•
Expanding your expertise into AI, ML, Lakebase, and other capabilities available in the DataBricks platform to these features are implemented as needed.
•
Driving Spark performance optimization and leading platform cost optimization opportunities.
•
Managing production monitoring, troubleshooting, and defect resolution.
What you bring
•
3+ years of hands-on Databricks experience with other complementary technologies including data governance, reporting and dashboard, and source system technologies.
•
Proven experience in a Tech Lead role, including leading developers and distributing/decomposing work.
•
Strong communication skills with the ability to mentor, influence, and align cross functional‑functional stakeholders.
•
Ability to engage proactively with business leaders to recommend solutions aligned to strategy and support data self-service‑service capabilities.
•
Solid grounding in general analytics, data warehousing, and modern data engineering practices.
•
Experience working in Agile frameworks and writing high-quality user stories.
•
Ability to navigate ambiguity and provide clarity for your team and partners.
Nice to have
•
Azure and Fabric cloud experience
•
Insurance industry business process and data knowledge.
•
Medical data experience.
•
Familiarity with data governance and data quality needs for business consumers and how they integrate with pipeline design.
Employee Benefits & Well-Being
Genworth employees make a difference in people’s lives every day. We’re committed to making a difference in our employees’ lives.
•
Competitive Compensation & Total Rewards Incentives
•
Comprehensive Healthcare Coverage
•
Multiple 401(k) Savings Plan Options
•
Auto Enrollment in Employer-Directed Retirement Account Feature (100% employer-funded!)
•
Generous Paid Time Off – Including 12 Paid Holidays, Volunteer Time Off and Paid Family Leave
•
Disability, Life, and Long Term Care Insurance
•
Tuition Reimbursement, Student Loan Repayment and Training & Certification Support
•
Wellness support including gym membership reimbursement and Employee Assistance Program resources (work/life support, financial & legal management)
•
Caregiver and Mental Health Support Services
Additional Information:
National Range: $120,900 - $187,000
Disclaimer: This role will be located in Richmond, VA. Actual compensation will vary based on geographic location, experience, skills, and other job-related factors. In addition to base salary, this role is eligible to participate in a bonus incentive plan. Incentive compensation is based on individual and company performance and is not guaranteed.
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