1

Automotive Data Engineer Jobs in Washington, DC (NOW HIRING)

Senior Data Engineer

Herndon, VA · Remote

$150K - $180K/yr

We are seeking a Senior Data Engineer to design, develop, and scale the data platform that powers ... Automotive industry data experience, including vehicle, dealership, CRM, inventory, consumer ...

The Software Engineer Lead will drive major corporate platform initiatives focused on enhancing ... Mobility Global provides automotive data, analytics, and software solutions across the vehicle ...

Data Architect

Herndon, VA · On-site

$65.50 - $84.25/hr

We're ALTEN Technology USA, an engineering company helping clients bring groundbreaking ideas to ... automotive, commercial vehicles, EVs, rail, and more. As part of the global ALTEN Group--57,000 ...

Data Architect

Herndon, VA · On-site

$65.50 - $84.25/hr

We're ALTEN Technology USA, an engineering company helping clients bring groundbreaking ideas to ... automotive, commercial vehicles, EVs, rail, and more. As part of the global ALTEN Group-57,000 ...

Data Architect

Washington, DC · On-site

$72.25 - $92.75/hr

We're ALTEN Technology USA, an engineering company helping clients bring groundbreaking ideas to ... automotive, commercial vehicles, EVs, rail, and more. As part of the global ALTEN Group--57,000 ...

Sr AI Engineer

Columbia, MD · On-site

$103K - $142K/yr

... and automotive. * Collaborate with internal product and marketing teams to ingest, debug, and analyze their data for model development. * Work with other AI and embedded engineers to optimize and ...

next page

Showing results 1-20

Automotive Data Engineer information

See Washington, DC salary details

$50.4K

$146.9K

$201K

How much do automotive data engineer jobs pay per year?

As of Aug 22, 2026, the average yearly pay for automotive data engineer in Washington, DC is $146,916.00, according to ZipRecruiter salary data. Most workers in this role earn between $129,700.00 and $155,700.00 per year, depending on experience, location, and employer.

What is an automotive data engineer?

An Automotive Data Engineer is a professional who designs, develops, and manages systems for collecting, processing, and analyzing data generated by vehicles and automotive systems. They work with large datasets from sources such as sensors, telematics, and onboard diagnostics to improve vehicle performance, safety, and efficiency. Their role often involves collaborating with software developers, data scientists, and automotive engineers to build data-driven solutions for connected and autonomous vehicles.

What key skills and qualifications are needed to thrive as an automotive data engineer?

To thrive as an Automotive Data Engineer, you need expertise in data analytics, programming (often Python or SQL), and a strong understanding of automotive systems, typically supported by a degree in computer science, engineering, or a related field. Familiarity with big data platforms (like Hadoop or Spark), automotive communication protocols (such as CAN or LIN), and certifications in data engineering or cloud technologies are highly valued. Strong problem-solving abilities, teamwork, and effective communication help distinguish top performers in this role. These skills are crucial for developing reliable data-driven solutions that enhance vehicle performance, safety, and innovation in a rapidly evolving automotive industry.

What are some common challenges automotive data engineers face when working with vehicle data?

Automotive Data Engineers often encounter challenges related to the sheer volume and complexity of data generated by modern vehicles, including sensor, telematics, and diagnostic information. Integrating data from various sources and ensuring its quality, consistency, and security can be demanding. Additionally, collaborating with cross-functional teams—such as software developers, data scientists, and automotive engineers—requires strong communication skills to align technical requirements and project goals. Adapting to evolving automotive technologies and compliance standards is also crucial for success in this role.

What is the difference between Automotive Data Engineer vs Data Scientist in the automotive industry?

AspectAutomotive Data EngineerData Scientist
Required CredentialsBachelor's in Computer Science, Data Engineering, or related field; experience with SQL, Python, big data toolsBachelor's or Master's in Data Science, Statistics, or related; proficiency in Python, R, machine learning
Work EnvironmentAutomotive companies, tech firms, data infrastructure teamsResearch labs, automotive R&D, analytics teams
Employer & Industry UsageFocus on building data pipelines, managing data infrastructure in automotive settingsFocus on analyzing data, creating models for vehicle performance, customer insights

Automotive Data Engineers primarily develop and maintain data infrastructure within the automotive industry, ensuring data flows efficiently. Data Scientists analyze this data to generate insights and predictive models. Both roles often collaborate but focus on different aspects of data management and analysis.

What are popular job titles related to Automotive Data Engineer jobs in Washington, DC?

For Automotive Data Engineer jobs in Washington, DC, the most frequently searched job titles are:

What job categories do people searching Automotive Data Engineer jobs in Washington, DC look for?

The top searched job categories for Automotive Data Engineer jobs in Washington, DC are:

Infographic showing various Automotive Data Engineer job openings in Washington, DC as of July 2026, with employment types broken down into 85% Full Time, and 15% Contract. Highlights an 100% In-person job distribution, with an average salary of $146,916 per year, or $70.6 per hour.

Senior Data Engineer

Team Velocity

Herndon, VA • Remote

$150K - $180K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 7 days ago


Job description

We are seeking a Senior Data Engineer to design, develop, and scale the data platform that powers analytics, business intelligence, machine learning, and customer-facing products across our organization. This role will focus on building reliable, high-performance data pipelines and modern data architectures that enable trusted, accessible, and actionable data.
The ideal candidate combines strong software engineering skills with deep expertise in cloud data platforms and distributed data processing. This individual will partner with Product, Engineering, Business Intelligence, Data Science, and business stakeholders to deliver scalable data solutions that support operational, analytical, and AI-driven initiatives.

This is a full-time, salaried, remote position. Candidate must reside within the Continental U.S. Eastern or Central time zones highly preferred, but all are welcome to apply who can support 8:30AM-5:30PM (EST) hours.

Responsibilities

  • Design, build, and maintain scalable data pipelines and ELT/ETL workflows.
  • Develop and optimize data models and enterprise data structures that support reporting, analytics, machine learning, and operational applications.
  • Leverage Snowflake and modern cloud data platforms to ingest, transform, and optimize large datasets.
  • Partner with Business Intelligence and Data Science teams to deliver trusted, production-ready datasets.
  • Design and implement data quality, validation, and monitoring processes.
  • Support both batch and near real-time data integration requirements.
  • Develop APIs and data services that enable internal and customer-facing applications.
  • Optimize data pipeline performance, scalability, and cost efficiency.
  • Document data architectures, pipeline processes, and engineering standards.
  • Evaluate emerging technologies and recommend improvements to the organization's data platform.
  • Mentor team members and help establish engineering best practices.

Qualifications

  • 7+ years of experience in Data Engineering, Software Engineering, or a related field.
  • Strong SQL skills and extensive experience working with modern cloud data platforms, preferably Snowflake.
  • Strong proficiency with Python and data engineering development practices.
  • Experience designing and maintaining large-scale ELT/ETL pipelines.
  • Strong understanding of data modeling, data warehousing, and distributed data architectures.
  • Experience integrating structured and semi-structured data from multiple internal and external sources.
  • Familiarity with data orchestration and transformation frameworks.
  • Strong troubleshooting and performance optimization skills.
  • Excellent communication and stakeholder management skills.
  • Ability to work independently while managing multiple initiatives.

Preferred Qualifications

  • Automotive industry data experience, including vehicle, dealership, CRM, inventory, consumer, telematics, finance, aftermarket, or mobility datasets.
  • Experience with dbt and modern analytics engineering workflows.
  • Experience with streaming technologies and event-driven architectures.
  • Experience supporting Business Intelligence, Data Science, and AI initiatives.
  • Familiarity with machine learning data pipelines and feature engineering concepts.
  • Experience working in a remote-first environment.

COMPENSATION
Compensation commensurate on experience. Participation in company benefit offerings include medical, dental, vision, unlimited paid leave, 401(k) matching, wellness, and more. The expected base salary range for this position is $150,000–$180,000 annually. The final compensation package will be based on experience, qualifications, and skills.

NEXT STEPS
If you meet the requirements, and are interested in applying for this role, please complete the online application, be sure to include a current resume and contact information. Local and remote candidates (living within Eastern or Central Time Zone) will be considered. No relocation assistance provided for this position. NO PHONE CALLS PLEASE.


About Team Velocity
Team Velocity is a full-service marketing agency serving the automotive industry, providing integrated marketing solutions to OEMs and dealerships nationwide. We leverage our proprietary Apollo® technology platform to predict consumer behavior, personalize marketing campaigns, and help dealerships drive more sales and service revenue.
Our team members are driven, creative, and collaborative, enjoying a unique culture where innovation and client success are paramount.
Join us in revolutionizing automotive marketing and technology through powerful, data-driven insights, continuous improvement, and an unwavering commitment to reliability.