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Principal Data Engineer Jobs in Virginia (NOW HIRING)

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 ...

Principal Data Engineer

Richmond, VA ยท On-site +1

$120K - $195K/yr

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 ...

Senior Principal Data Engineer 114-005

Herndon, VA ยท On-site

$129K - $177K/yr

Senior Principal DATA ENGINEER : The selected candidate will perform data engineering associated with synchronizing new and existing systems for DIA as part of the Five Eyes partner alliance. The ...

Principal Data Analyst At Capital One, data is at the center of everything we do. When we launched ... Degree specialized in a Science, Technology, Engineering, Mathematics discipline * Scripting ...

Principal Data Analyst At Capital One, data is at the center of everything we do. When we launched ... Degree specialized in a Science, Technology, Engineering, Mathematics discipline * Scripting ...

Principal Data Analyst At Capital One, data is at the center of everything we do. When we launched ... Degree specialized in a Science, Technology, Engineering, Mathematics discipline * Scripting ...

Principal Data Analyst At Capital One, data is at the center of everything we do. When we launched ... Degree specialized in a Science, Technology, Engineering, Mathematics discipline * Scripting ...

POSITION TITLE Principal Data Analyst POSITION LOCATION This position is available to Virginia ... Partner with source system owners, data engineering, and data governance teams to drive resolution ...

Principal Data Analyst At Capital One, data is at the center of everything we do. When we launched ... Degree specialized in a Science, Technology, Engineering, Mathematics discipline * Scripting ...

Principal Data Analyst At Capital One, data is at the center of everything we do. When we launched ... Degree specialized in a Science, Technology, Engineering, Mathematics discipline * Scripting ...

This role operates at the intersection of architecture, engineering, analytics, AI, and mission strategy. The Principal Data Solution Architect shapes the vision for how data is collected, governed ...

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Showing results 1-20

Principal Data Engineer information

See Virginia salary details

$73.4K

$146K

$210.7K

How much do principal data engineer jobs pay per year?

As of Jun 12, 2026, the average yearly pay for principal data engineer in Virginia is $145,957.00, according to ZipRecruiter salary data. Most workers in this role earn between $117,500.00 and $171,500.00 per year, depending on experience, location, and employer.

What engineers make 500,000?

Principal Data Engineers and senior engineering roles in fields like software, cloud, and machine learning can reach salaries of $500,000 or more, especially with extensive experience, advanced skills, and in high-demand industries. Compensation often includes base salary, bonuses, and stock options, particularly at large tech companies or startups with significant funding.

What are the typical daily responsibilities of a Principal Data Engineer?

As a Principal Data Engineer, your day-to-day responsibilities generally include designing and optimizing large-scale data pipelines, developing architectural strategies, and overseeing the implementation of robust data solutions. You'll collaborate closely with data scientists, analysts, and software engineers to ensure the organization's data infrastructure is efficient, scalable, and secure. You may also mentor junior team members, review code, and set data engineering best practices. This role frequently requires balancing hands-on technical work with strategic planning and stakeholder communication to align data initiatives with business goals.

What is a Principal Data Engineer job?

A Principal Data Engineer is a senior-level technical role responsible for designing, building, and maintaining large-scale data infrastructure. They lead data engineering teams, establish best practices, and ensure efficient data pipelines to support analytics and machine learning. This role involves working with cloud platforms, big data technologies, and distributed systems to optimize data processing. Principal Data Engineers collaborate with data scientists, analysts, and business stakeholders to drive data-driven decision-making. Their work is critical in enabling organizations to leverage data effectively for insights and innovation.

What engineers make $300,000 a year?

Principal Data Engineers and senior engineering roles in fields like software, machine learning, and cloud infrastructure can earn $300,000 or more annually, especially with extensive experience, advanced skills, and certifications. Compensation often includes base salary, bonuses, and stock options, particularly in high-demand industries or large tech companies.

What does a principal data engineer do?

A principal data engineer designs, develops, and maintains large-scale data systems and pipelines to support data analysis and business decision-making. They often lead data architecture initiatives, collaborate with data scientists and engineers, and ensure data quality, security, and compliance using tools like SQL, Spark, and cloud platforms. This role typically requires extensive experience in data engineering, strong problem-solving skills, and leadership abilities.

How much do principal data engineers make?

Principal data engineers typically earn between $120,000 and $180,000 annually, with salaries varying based on experience, location, and industry. They often have advanced skills in data architecture, cloud platforms, and programming languages like Python or Scala, and may receive bonuses or stock options depending on the company.

What are the key skills and qualifications needed to thrive in the Principal Data Engineer position, and why are they important?

To thrive as a Principal Data Engineer, you need a deep understanding of data architecture, data modeling, ETL development, and distributed computing, often supported by a degree in computer science or a related field. Proficiency with technologies such as Hadoop, Spark, Python, SQL, and cloud platforms (AWS, Azure, or Google Cloud), as well as certifications in relevant tools or data engineering, is highly valuable. Strong leadership, problem-solving skills, and effective cross-functional communication are essential soft skills for this role. These combined abilities enable Principal Data Engineers to design scalable data solutions, drive engineering best practices, and lead complex projects to successful completion.

What are the most commonly searched types of Principal Data Engineer jobs in Virginia? The most popular types of Principal Data Engineer jobs in Virginia are:
Infographic showing various Principal Data Engineer job openings in Virginia as of June 2026, with employment types broken down into 68% Full Time, and 32% Part Time. Highlights an 87% Physical, 5% Hybrid, and 8% Remote job distribution, with an average salary of $145,957 per year, or $70.2 per hour.
Principal Data Engineer

Principal Data Engineer

Genworth Financial

Richmond, VA โ€ข On-site, Remote

Full-time

Medical, Life, Retirement, PTO

Posted 13 days ago


Job description

At Genworth, we empower families to navigate the aging journey with confidence. We are compassionate, experienced allies for those navigating care withguidance, 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-endtoend 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 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-qualityquality data products and analytical solutions across build teams.

You will be part of a high performing, performing, missiondriven 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

  • 3-5 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 functionalfunctional stakeholders.
  • Ability to engage proactively with business leaders to recommend solutions aligned to strategy and support data self-serviceservice 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:

    The base salary pay range for this role starts at a minimum rate of $120,000 up to the maximum of $195,000. In addition to your base salary, you will also be eligible to participate in an incentive plan. The incentive plan is based on performance and the target earning opportunity is 15% of your base compensation. The final determination on base pay for this position will be based on multiple factors at the time of this job posting including but not limited to geographic location, experience, and qualifications to ensure pay equity within the organization.