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Director Data Engineering Jobs in Virginia (NOW HIRING)

Pwc

Data Engineer - Senior Manager

Richmond, VA · On-site

$124K - $280K/yr

In data engineering at PwC, you will focus on designing and building data infrastructure and ... Direct the team through complexity, demonstrating composure through ambiguous, challenging and ...

MasterCard

Director, Software Engineering

Arlington, VA · Hybrid

$291K/yr

The role will initially focus on leading teams responsible for data ingestion, data engineering and ... 4-5 direct reports across the United States, India, and Europe. Success in this role requires ...

THOMSON REUTERS

Data Engineer

Mclean, VA · Hybrid

$115K - $139K/yr

... software engineering teams, the data science team, and oftenpreand post-sales support of the business development team. The role will also have acustomer facingcomponent, involving direct ...

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All JobsData Engineering JobsDirector Data Engineering JobsDirector Data Engineering Jobs in Virginia

Director Data Engineering information

See Virginia salary details

$72.4K

$193K

$251.8K

How much do director data engineering jobs pay per year?

As of Sep 2, 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 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 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 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.

Data Platform Engineer, AI & Personalization (Remote, East Coast)

P3Hired

Arlington, VA

$131K - $158K/yr

Full-time

Re-posted 6 days ago

Job description

Position Overview

Eagle Eye is an AI driven retail technology SaaS company powering personalized promotions and loyalty programs for leading global brands. In this role, you will sit at the heart of our platform building, optimizing, and supporting data systems that deliver high performance, real time personalization for enterprise clients.
As a Data Solutions Engineer, you will play a key role in deploying, operating, and continuously improving our data-driven platform for our clients.

You will work at the intersection of data engineering, system performance optimization, and client-facing technical operations, ensuring that our AI personalization solution runs reliably in production and delivers measurable value.

You will collaborate closely with Product Managers, Data Science, and Customer Success teams, and regularly interact with client technical teams.

The team “Personalized Challenges” is currently Europe-based and you will be the first North America based member. You will primarily communicate remotely with your direct team members in Europe but will also collaborate with our extensive team in North America who are based in Washington, DC, Toronto, Jacksonville and Chicago. Note that overall, Eagle Eye has a global presence, including North America, EMEA and APAC.

This is a United States based remote role with a preference for Eastern time zone candidates, open to applicants authorized to work without sponsorship.

Responsibilities

This role is intentionally a hybrid of responsibilities:

  • Hands-on Data Engineering – 60%

  • Continuous Optimization of Data-Driven Systems – 30%

  • Client-facing Technical Support & Ticket Resolution – 10%

Success in this role is measured by platform reliability, data quality, system performance, and the long-term resolution of production issues, rather than by volume of support tickets.

Platform Deployment & Data Integration

  • Integrate client data pipelines into our data stack

  • Deploy and configure our platform for new clients

  • Ensure data quality, consistency, and reliability across incoming and outgoing data flows

Production Support & Ticket Management

  • Investigate and resolve technical tickets related to data pipelines, system performance, and algorithm behavior

  • Act as a technical escalation point for Customer Success teams

  • Diagnose root causes, propose fixes, and ensure long-term prevention of recurring issues

Continuous Optimization & Performance Improvement

  • Analyze system and algorithm performance using metrics, logs, and experimentation

  • Identify opportunities to optimize data pipelines, processing logic, and algorithm configurations

  • Collaborate with Product and Data Science teams to prioritize and roll out improvements

  • Design and analyze A/B tests to measure the impact of changes

You Are

  • Disciplined problem-solver who enjoys digging into the "why" of system behavior to find long-term solutions.

  • An autonomous worker, ready to be the first North American member of the team while maintaining effective collaboration with European colleagues.

  • A clear, structured communicator capable of explaining complex technical issues to both engineers and non-technical stakeholders.

  • Rigorous and detail-oriented, especially when monitoring production systems and ensuring data integrity.

  • Comfortable navigating production incidents and support tickets with a calm, engineering-driven approach.

  • Curious and pragmatic, motivated by understanding real-world client use cases and optimizing system performance.

  • Comfortable working fully remotely: even if located near other team members, you will be remote from your direct colleagues based in France. You have proven experience thriving in a fully remote setup and collaborating across cultures.

  • Able to participate in a 1–2 week onboarding in Paris, offering dedicated time for in-person collaboration, learning, and team connection.

You Have

  • 3-5 years of experience as a Data Engineer or Data Solutions Engineer in a production-heavy environment.

  • A bachelors degree in Computer Science, Data Engineering, or a related field.

  • Deep hands-on experience with Python and/or Scala.

  • Proven expertise using Spark for large-scale data processing.

  • Practical experience building and managing data stacks within Google Cloud Platform (GCP) and BigQuery.

  • A solid foundation in data engineering principles, including data pipeline design and system optimization.

  • A working knowledge of Data Science and Machine Learning concepts to help bridge the gap between data flows and algorithm performance.