Principal Data Engineer
Location
Virginia
Posted
103 days ago
Salary
$0
Seniority
Lead
Job Description
Principal Data Engineer
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. 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 Principal Data Engineer POSITION LOCATION This position is available to Virginia residents as Richmond or Lynchburg, VA Hybrid in-office applicants or remote applicants 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. This role is not eligible for employment visa sponsorship 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 Principal Data Engineer with strong Databricks expertise and proven experience in a Tech Lead capaci ty. 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 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
Job Requirements
- 3–5 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.
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Staff Data Engineer, Reporting & Analytics
Danaher CorporationJoin our winning team today. Together, we’ll accelerate the real-life impact of tomorrow’s science and technology. We partner with customers across the globe to help them solve their most complex challenges, architecting solutions that bring the power of science to life. For more information, visit www.danaher.com .
• Data Engineer builds and maintains analytics-ready datasets optimized for reporting and dashboards for consumption by all Danaher Opcos. • Enable self-service access through semantic layers, catalogues, and APIs, empowering data scientists, analysts, and business teams to consume data without deep pipeline knowledge. • Partner with stakeholders to translate business questions into clear, accurate metrics. • Ensure data accuracy, freshness, and consistency across reporting surfaces. • Implement testing, documentation, and quality checks for data analytics.
Who we are: Arcadia is the global utility data and energy solutions platform. With our leading data platform, AI-powered analytics, industry expertise, and expansive partner network, we deliver solutions for every stage of the enterprise energy management lifecycle across carbon, cost, and reliability. Arcadia’s Enterprise Energy Management Solutions are built on a foundational data platform that has been developed for over a decade and scaled across millions of customer facilities. We transform fragmented data and siloed processes into coordinated, enterprise-wide action with comprehensive solutions, including: Utility Bill Management: Lower utility costs and streamline bill management with automated bill payment, proactive error identification, optimized tariff structures, and budgeting & forecasting. 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The leader will promote evidence-based decision-making at Arcadia through ongoing collaborator engagement and will build analytic structures to support this outcome. Arcadia is headquartered in Washington, DC, and open to remote candidates with a preference for those in the Eastern Time Zone. #LI-REMOTE What you'll do: Define the organizational structure and build, lead, and scale a successful data and analytics engineering organization; including outstanding managers and individual contributors across Data Analytics and Data Engineering. Drive technical architecture, decisioning, and execution of data and analytics engineering work. As a deep technical expert on the latest technologies and best practices, you quickly outline technical plans, align stakeholders, and drive rapid and high quality engineering work. Align engineering data investments with company business goals and long-term strategy, and restructure the organization as needed to support data-centric product development. 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Enable data platform development and usage across all R&D, enabling other engineers, analysts, and product managers to contribute and best utilize the data platform Proactively recognize and remove potential people, process, or technology roadblocks to facilitate delivery of products across departments. What will help you succeed: Must-haves: You are an expert Data & Analytics leader with demonstrated experience processing and analyzing large-scale datasets (billions of records). Demonstrated strong judgment and decision-making without having the total picture during routine business, as well as when in high-pressure situations. Deep expertise with Snowflake as a data platform , including performance optimization, cost management, and architecting for scale. Hands-on experience with our modern data stack : dbt for transformation, Hex for analytics, and Fivetran/Airbyte for data ingestion. You have built and led Data & Analytics teams at high-growth SaaS companies, specifically those dealing with high-volume data processing. Experience with utility data, billing systems, or similar high-volume transactional data is highly valued. A strong communicator who uses data narratives to explain the solutions they build. You have strong process leadership skills, but know when process layers become too heavy. 12+ years in the workforce with significant experience in data-intensive environments. You are also a 'doer' and are not afraid to roll up your sleeves. You have top-notch technical skills covering both data and quantitative techniques: data facility, descriptive analytics, and predictive modeling. SQL and Python are a must , with demonstrated ability to write optimized queries for large-scale data processing. You are business-focused, with a strong tether to real world needs and a focus on solving actual problems rather than areas of conceptual interest. 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Who we are: Arcadia is the global utility data and energy solutions platform. With our leading data platform, AI-powered analytics, industry expertise, and expansive partner network, we deliver solutions for every stage of the enterprise energy management lifecycle across carbon, cost, and reliability. Arcadia’s Enterprise Energy Management Solutions are built on a foundational data platform that has been developed for over a decade and scaled across millions of customer facilities. We transform fragmented data and siloed processes into coordinated, enterprise-wide action with comprehensive solutions, including: Utility Bill Management: Lower utility costs and streamline bill management with automated bill payment, proactive error identification, optimized tariff structures, and budgeting & forecasting. Energy Procurement Advisory: Source clean energy through a comprehensive evaluation of supply options - including traditional retail options and onsite and offsite resources — to effectively manage risks, reduce costs, and achieve corporate sustainability goals. Sustainability Reporting: Achieve compliance goals and track carbon emissions with standardized energy data and seamless integration with leading sustainability platforms. Tackling an enterprise client’s most critical energy challenges requires out-of-the-box thinking & diverse perspectives. We’re building a team of individuals from different backgrounds, industries, & educational experiences. If you share our passion for ushering in the era of the clean, cost-effective electrons, we look forward to learning what you would uniquely bring to Arcadia! 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Establish and drive department-wide standards for data platform governance and development and that we are building our products to give our customers the insight they need to run their business. Own the cross-organizational data platform development and establish a multi-year strategy around data infrastructure, enterprise data modeling, and processing capabilities. Ensure we are thoughtful about what data we collect, growing it where possible and useful, and that we are using it to its full potential. Lead the optimization and evolution of our Snowflake-based data architecture to handle exponential data growth. Own the enterprise unified data model and architecture that will power all of Arcadia’s applications and use cases. Enable data platform development and usage across all R&D, enabling other engineers, analysts, and product managers to contribute and best utilize the data platform Proactively recognize and remove potential people, process, or technology roadblocks to facilitate delivery of products across departments. What will help you succeed: Must-haves: You are an expert Data & Analytics leader with demonstrated experience processing and analyzing large-scale datasets (billions of records). Demonstrated strong judgment and decision-making without having the total picture during routine business, as well as when in high-pressure situations. Deep expertise with Snowflake as a data platform , including performance optimization, cost management, and architecting for scale. Hands-on experience with our modern data stack : dbt for transformation, Hex for analytics, and Fivetran/Airbyte for data ingestion. You have built and led Data & Analytics teams at high-growth SaaS companies, specifically those dealing with high-volume data processing. Experience with utility data, billing systems, or similar high-volume transactional data is highly valued. A strong communicator who uses data narratives to explain the solutions they build. You have strong process leadership skills, but know when process layers become too heavy. 12+ years in the workforce with significant experience in data-intensive environments. You are also a 'doer' and are not afraid to roll up your sleeves. You have top-notch technical skills covering both data and quantitative techniques: data facility, descriptive analytics, and predictive modeling. SQL and Python are a must , with demonstrated ability to write optimized queries for large-scale data processing. You are business-focused, with a strong tether to real world needs and a focus on solving actual problems rather than areas of conceptual interest. Eager to work in a fast-paced, growth setting. Flexible and fluid, you make things work and operate efficiently in a cross-functional environment. You build and deliver data products. You are outcome driven with strong intuition for business; you pick the practical over the fancy. Experience with data governance, security, and compliance in handling sensitive customer data. 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The exact compensation at which this job is filled will be determined by the skills, experience, and location of the qualified candidate. Please note that we are unable to offer visa sponsorship for this position at this time. Automated Screening Technology: To ensure a fair and timely review of the high volume of applications we receive, Arcadia may utilize AI-assisted technologies to help our team identify candidates who best meet the qualification criteria for this role (based on skills, experience, and education).



