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Director Data Engineering Jobs in Virginia (NOW HIRING)

Ennoble Care

Director of Data Engineering

Arlington, VA · Remote

$131K - $158K/yr

You'll bring engineering rigor and AI-augmented practices to make our data trustworthy and fast to work with -- using LLM coding assistants (e.g., Claude Code under BAA), automated QA, autonomous ...

Gartner

Director, Data Science

Arlington, VA · Remote

The Director, Data Science will lead efforts across personalization, recommendation systems, and ... Collaborate with engineering, product, UX, and business leaders to prioritize ideas, launch MVPs ...

Gartner

Director, Data Science

Arlington, VA · On-site

The Director, Data Science will lead efforts across personalization, recommendation systems, and ... Collaborate with engineering, product, UX, and business leaders to prioritize ideas, launch MVPs ...

Capital One

Director, Data Scientist

Mclean, VA · On-site

Director, Data Scientist Data is at the center of everything we do. As a startup, we disrupted the ... Partner with a cross-functional team of data scientists, software engineers, and product managers ...

Capital One

Director, Data Scientist

Mclean, VA

Director, Data Scientist Data is at the center of everything we do. As a startup, we disrupted the ... Partner with a cross-functional team of data scientists, software engineers, and product managers ...

MasterCard

Senior Principal, Data Engineering

Arlington, VA · On-site

$144K - $199K/yr

... include direct people management responsibilities. The ideal candidate is a builder at heart ... Architect and deliver scalable data engineering solutions, including ETL/ELT pipelines, data lakes ...

GRVTY

Enterprise Data Engineer

Chantilly, VA

$117K - $140K/yr

... engineering activities. Our engineers work to collect, process, and feed analytic tools, turning data into intelligence in response to immediate mission needs, with direct impact on real world ...

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Director Data Engineering information

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$72.4K

$193K

$251.8K

How much do director data engineering jobs pay per year?

As of Aug 6, 2026, the average yearly pay for director data engineering in Virginia is $193,039.00, according to ZipRecruiter salary data. Most workers in this role earn between $140,300.00 and $250,800.00 per year, depending on experience, location, and employer.

What are some common challenges faced by a director of data engineering, and how are they typically addressed?

A Director of Data Engineering often encounters challenges such as integrating disparate data sources, maintaining data quality and security at scale, and aligning data strategy with evolving business goals. Successfully addressing these challenges requires close collaboration with cross-functional teams, continuous upskilling in new technologies, and implementing best practices for data governance and automation. Directors must balance hands-on technical oversight with strategic planning, ensuring their teams are equipped to deliver reliable and high-performing data infrastructure. By fostering a culture of innovation and adaptability, Directors help their organizations stay ahead in a rapidly evolving data landscape.

What does a director of data engineering do?

A Director of Data Engineering leads the strategy, architecture, and execution of data infrastructure within an organization. They manage teams responsible for data pipelines, storage, and processing systems to ensure scalability, reliability, and performance. This role involves collaborating with business leaders, data scientists, and analysts to align data capabilities with company goals. Additionally, they oversee technology selection, governance, security, and best practices for data management.

What are the key skills and qualifications needed to thrive as a director of data engineering?

To thrive as a Director Data Engineering, you need deep expertise in data architecture, data pipeline design, large-scale database systems, and leadership, typically supported by a relevant degree and significant experience managing engineering teams. Familiarity with tools like SQL, Python, Spark, cloud platforms (AWS, Azure, or Google Cloud), and certifications such as Google Cloud Certified - Professional Data Engineer or AWS Certified Solutions Architect are often expected. Outstanding communication, strategic thinking, and the ability to mentor and inspire teams are key soft skills in this position. These skills ensure the successful design and execution of robust data solutions that drive organizational decision-making and innovation.

What are the most commonly searched types of Data Engineering jobs in Virginia? The most popular types of Data Engineering jobs in Virginia are:
What are popular job titles related to Director Data Engineering jobs in Virginia? For Director Data Engineering jobs in Virginia, the most frequently searched job titles are:
What job categories do people searching Director Data Engineering jobs in Virginia look for? The top searched job categories for Director Data Engineering jobs in Virginia are:
What cities in Virginia are hiring for Director Data Engineering jobs? Cities in Virginia with the most Director Data Engineering job openings:
Director Data Engineering jobs near you
Infographic showing various Director Data Engineering job openings in Virginia as of August 2026, with employment types broken down into 86% Full Time, 7% Part Time, and 7% Contract. Highlights an 74% In-person, 13% Hybrid, and 13% Remote job distribution, with an average salary of $193,039 per year, or $92.8 per hour.

Director, Data Platform & Engineering

Medallia

Mclean, VA • On-site

Full-time

Medical, Dental, Vision, Life, Retirement

Posted 15 days ago

Job description

Overview
Medallia is the pioneer and market leader in Experience Management. Our award-winning SaaS platform, Medallia Experience Cloud, leads the market in the management of experiences, insights, and actions for candidates, customers, employees, patients, and residents alike.
We believe that every experience is a memory that can last a lifetime. Experiences shape the way people feel about a company. And they greatly influence how likely people are to advocate, contribute, and stay. At Medallia, we are committed to creating a world where organizations are loved by their customers and their employees.
We empower exceptional people to create extraordinary experiences together.
Bring your whole self.
The Role and Team
The Head of Data Platform & Engineering owns our internal enterprise data strategy and platform, turning raw operational data into governed, trusted data products that power decision-making for our executive leadership team (ELT), FP&A, GTM Analytics and other business functions within Medallia. This is a hands-on leadership role for someone with demonstrated experience in defining a data strategy, executing on the platform architecture and data modeling, and building and coaching a small team of data engineers and analysts. This role will also lead the effort to extend self-service analytics beyond a small group of expert Tableau users to a broader, distributed set of business analysts by leveraging the newer breed of analytics solutions and AI.
This role sits at the center of how we operate as one integrated, high-performing company: the data platform is the connective tissue that gives leadership a single source of truth on the health of the business, and gives go-to-market teams (Marketing, Sales, Service, and Support) the insight they need to protect and grow our customer base.
Responsibilities
  • Own and evolve the enterprise data strategy and technical architecture for the enterprise data platform, continuing our shift to a Medallion (bronze/silver/gold) architecture.
  • Build a deep working knowledge of the company's GTM strategy, product telemetry, and financial reporting needs; act as a trusted advisor to business functions, translating their priorities into well-governed data products and a prioritized roadmap.
  • Partner with business function leaders and their distributed analytics teams to gather requirements, prioritize the backlog, and run an agile delivery model with a clear bias to action.
  • Provide hands-on leadership and coaching to a small team of data engineers and analysts, reviewing data models and pipelines and unblocking technical decisions.
  • Define and maintain data governance standards - quality, access, lineage, and shared definitions - in partnership with data owners across the business.
  • Lead the evaluation and rollout of tools that extend self-service analytics and AI enablement to non-technical business users, reducing reliance on multiple Excel workbooks and avoiding the learning curve of more complex BI solutions.
  • Partner cross-functionally on data initiatives that support revenue growth: pipeline generation, prospecting, expansion and renewal (ATR) opportunities, rep productivity, and product telemetry - bringing greater predictability and insight to the business.
  • Lead the selection, implementation, and management of the core data platform technology stack; partner with business functions on selection and management of the analytics and visualization tools that leverage the data platform.
  • Identify opportunities to apply AI to the data platform itself and to internal reporting and analytics workflows, in line with the company's broader AI-enablement priorities.

Candidates based in the Tysons vicinity will be prioritized as this role is Hybrid, 3 days per week onsite.
Qualifications
Minimum Qualifications
  • 10+ years in data engineering and/or data platform management, including 5+ years leading a data platform, data engineering, and/or analytics team.
  • Hands-on experience and proficiency in SQL and dbt (or a comparable transformation and orchestration solution) to transform raw source data into analysis-ready, governed tables and views.
  • Demonstrated experience architecting and operating cloud data platforms (e.g., Snowflake or a comparable cloud data warehouse) at enterprise scale, leveraging pipeline orchestration (e.g., Dagster, Airflow, or similar) and EL / ETL tooling (e.g., Fivetran or similar).
  • Experience designing and executing a data platform strategy end to end - from technical architecture, through data governance, to business adoption.
  • Track record of translating ambiguous business requirements into clear data models, metrics, and reporting.
  • Experience running an agile delivery model with a bias to action and a track record of shipping incremental business value.
  • Strong communication, prioritization, and stakeholder management skills; comfortable operating as a trusted advisor to executive and business-function leaders, not just a service provider, in a dynamic environment.
  • Proven people leadership: hiring, coaching, and developing a small, senior technical team.

Preferred Qualifications
  • Direct experience with a Medallion (bronze/silver/gold) or similar layered data architecture.
  • Experience with Tableau and with newer spreadsheet-native, self-service BI tools (e.g., Sigma, Omni) - particularly in extending BI to non-technical business analysts.
  • Familiarity with native AI/ML capabilities within a cloud data platform (e.g., Snowflake Cortex) and a passion for leveraging AI to accelerate data engineering and analytics work.
  • Experience in a B2B software/SaaS company, ideally supporting FP&A, GTM (marketing, sales, service/support), and executive data and reporting use cases.
  • Ability to distill signal from noise in large, messy data sets and crisply communicate the "so what" to non-technical executive audiences.

Medallia is committed to equal pay and transparency. The annual base salary range for this position is $155,500 - $270,000. This position is bonus eligible. Please note that the salary range information provided is a general guideline and combines all of the distinct labor markets within the US. It is uncommon for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on a variety of factors. Medallia considers factors such as (but not limited to) scope and responsibilities of the position, candidate's work experience, candidate's work location, education/training, key skills, internal peer equity, external market data, as well as, market and business considerations when making compensation decisions.
Medallia also offers competitive health and wellness benefits, including but not limited to medical, dental, vision, 401(k), short-term and long-term disability, life and AD&D insurance, statutory leaves, paid parental leave, and paid holidays. Benefits and eligibility may vary by location and role.
At Medallia, we celebrate diversity and recognize the value it brings to our customers and employees. Medallia is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age (40 and over), disability, genetic information, veteran status or military service, or any other status protected by state or local law. Individuals with a disability who need an accommodation to apply please contact us at ApplicantAccessibility@medallia.com. For information regarding how Medallia collects and uses personal information, please review our Privacy Policies. Applications will be accepted for 30 days from the date this role was posted or until the role has been filled.

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