Principal Data Engineer

Genworth • Richmond, VA

21h • $120,000 - $200,000 • Hybrid

About The Position

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. This role is not eligible for employment visa sponsorship
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. This role will lead, mentor, and assist team members in the software development lifecycle process from design, build, test, and run responsibilities. The candidate will be joining a high-performing team that is passionate and motivated to address internal and external customer needs. The anticipated team size is twenty-five individuals, organized into four agile teams consisting of various roles such as data product owner, agile leader, data engineers, data governance analysts, data modelers, testers, and production operation personnel. You will be working closely with the agile leader, data product owner, principal architect, and other functional leads from security, cloud, testing and data modeling. The core architecture of the platform is a modern streaming for transaction level performance and analytical pipelines with the medallion and OneLake architecture. The top opportunity for this position involves overseeing the implementation of a new architecture designed to replace the majority of current analytical platforms and data processes.

Requirements

• Capable of influencing other technical leaders and teams to align to common practices, frameworks, and tool usage patterns.
• Capable of being proactive with business leadership on solution options and recommendations that address their 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
• Capable of performing software engineering disciplines from design, build, testing and production support.
• Capable of leading technical projects and decomposing work across team members.
• Ability to mentor and develop other data professionals so they can grow and advance.
• Comfortable dealing with ambiguity where you influence or drive the process

Nice To Haves

• Insurance business process and data expertise
• Medical data knowledge
• Data governance data needed by business consumers coming from the data pipelines you lead

Responsibilities

• Designing, building, testing, and production support of analytical pipelines
• Implementing DataBricks 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 the utility of new coding, DataBricks or other platform features such as AI programming and testing code generation.

Benefits

• 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

What This Job Offers

• Job Type: Full-time
• Career Level: Principal
• Education Level: No Education Listed
• Number of Employees: 251-500 employees