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Marketing Data Engineer Jobs in Reston, VA (NOW HIRING)

The Washington Post

Senior Data Engineer

Washington, DC · On-site

$120K - $163K/yr

... Legal, Marketing & Advertising, Print Operations, and Sales. Why This Role Matters We are seeking a skilled and experienced Senior Data Engineer for our Data and AI team to contribute to the ...

The Washington Post

Senior Data Engineer

Washington, DC

$120K - $163K/yr

... Legal, Marketing & Advertising, Print Operations, and Sales. Why This Role Matters We are seeking a skilled and experienced Senior Data Engineer for our Data and AI team to contribute to the ...

TriOptus LLC

Sr Data Analyst

Reston, VA · On-site

$89K - $112K/yr

Willingness to adopt new tools, programming languages, and Big Data techniques. * Knowledge of marketing data sets like Google Analytics, Social Media Platforms, Salesforce, Marketing Cloud and ...

System One

Technical Project Manager

Vienna, VA · On-site

Serve as the primary operational partner to Marketing Data Science teams, supporting intake, prioritization, and delivery of analytics use cases. * Coordinate with ETS, data engineering, architecture ...

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Showing results 21-40

All JobsMarketing Data Engineer JobsMarketing Data Engineer Jobs in Reston, VA

Marketing Data Engineer information

See Reston, VA salary details

$46.3K

$135K

$184.7K

How much do marketing data engineer jobs pay per year?

As of Jul 27, 2026, the average yearly pay for marketing data engineer in Reston, VA is $134,951.00, according to ZipRecruiter salary data. Most workers in this role earn between $119,100.00 and $143,000.00 per year, depending on experience, location, and employer.

What is the difference between Marketing Data Engineer vs Data Analyst?

AspectMarketing Data EngineerData Analyst
Primary FocusBuilding and maintaining data pipelines for marketing dataAnalyzing data to generate insights and reports
Skills & CertificationsSQL, ETL, data warehousing, cloud platformsSQL, Excel, data visualization tools
Work EnvironmentData engineering teams within marketing or analytics departmentsBusiness units, marketing teams, or analytics departments
Tools UsedApache Spark, Hadoop, cloud data servicesTableau, Power BI, Excel

The main difference is that Marketing Data Engineers focus on creating and managing the infrastructure for marketing data, while Data Analysts interpret that data to provide actionable insights. Both roles often collaborate but serve distinct functions within data-driven marketing strategies.

What are Marketing Data Engineers?

Marketing Data Engineers are professionals who design, build, and manage data systems that enable marketing teams to collect, process, and analyze large volumes of marketing data. They work at the intersection of data engineering and marketing analytics, ensuring that data pipelines are robust, scalable, and optimized for marketing use cases. Their work helps organizations make informed marketing decisions by providing reliable and accessible data from multiple sources, such as web analytics, CRM systems, and advertising platforms. Marketing Data Engineers often collaborate closely with data analysts, data scientists, and marketers to create solutions that drive business growth.

What engineers make $300,000 a year?

Senior engineering roles such as Software Engineers, Data Engineers, and Cloud Engineers can earn $300,000 or more annually, especially with extensive experience, specialized skills, and working in high-demand industries or companies. These roles often require advanced technical expertise, certifications, and sometimes leadership responsibilities.

Can a data engineer make 200k?

Data engineers can earn $200,000 or more annually, especially with experience, advanced skills in SQL, Python, cloud platforms, and big data tools. Salaries vary by industry, location, and company size, with senior roles and specialized expertise commanding higher pay.

What does a marketing data engineer do?

A marketing data engineer designs, builds, and maintains data pipelines and infrastructure to collect, process, and analyze marketing data. They work with tools like SQL, Python, and cloud platforms to ensure accurate data flow for marketing insights and decision-making.

How do Marketing Data Engineers typically collaborate with marketing teams to drive data-driven campaigns?

Marketing Data Engineers work closely with marketing teams by designing data pipelines that collect and process campaign performance data, ensuring marketers have timely and accurate insights. They often participate in cross-functional meetings to understand campaign goals and translate them into data requirements, dashboards, or reports. This collaboration enables marketers to make informed decisions, optimize strategies, and measure ROI effectively. Regular communication and a clear understanding of marketing objectives are key to ensuring the technical solutions provided align with business needs.

What are the key skills and qualifications needed to thrive as a Marketing Data Engineer, and why are they important?

To thrive as a Marketing Data Engineer, you need strong skills in data modeling, SQL, and data pipeline development, often supported by a degree in computer science, engineering, or a related field. Experience with ETL tools, cloud data platforms (like AWS or GCP), and marketing analytics systems such as Google Analytics is typically required. Excellent problem-solving, communication, and collaboration skills help you translate business requirements into technical solutions and work effectively with marketing teams. These abilities ensure accurate, actionable insights that drive data-driven marketing strategies and business growth.

What engineers make 500,000?

Senior engineering roles such as software engineers, data engineers, and systems engineers with extensive experience, specialized skills, and leadership responsibilities can earn $500,000 or more annually. These high salaries often involve working in high-demand industries, managing large-scale projects, or holding executive-level positions, sometimes supplemented by bonuses and stock options.
What are popular job titles related to Marketing Data Engineer jobs in Reston, VA? For Marketing Data Engineer jobs in Reston, VA, the most frequently searched job titles are:
What job categories do people searching Marketing Data Engineer jobs in Reston, VA look for? The top searched job categories for Marketing Data Engineer jobs in Reston, VA are:
What cities near Reston, VA are hiring for Marketing Data Engineer jobs? Cities near Reston, VA with the most Marketing Data Engineer job openings:
Marketing Data Engineer jobs near you
Infographic showing various Marketing Data Engineer job openings in Reston, VA as of July 2026, with employment types broken down into 1% As Needed, 80% Full Time, 11% Part Time, and 8% Contract. Highlights an 83% Physical, 3% Hybrid, and 14% Remote job distribution, with an average salary of $134,951 per year, or $64.9 per hour.
Director, Marketing Technology

Director, Marketing Technology

Veteran Jobs - 2023 Mar 01 - Veterans Resources

Washington, DC • On-site

Other

Posted 11 days ago

Job description

Want to work for a great Organization?

The American Bankers Association is the banking industry's champion. Joining ABA makes you part of a team that: has Extraordinary People - ABA experts are the go to sources for bankers, policy makers and the media for credible information and insights for the banking industry. has Unmatched Scope and Scale - ABA's unparalleled information and services keep members current, knowledgeable and prepared. is Impact-Driven - ABA has a proven record of bringing about positive change for our members and the industry. We take action and achieve results. Plus competitive pay, an outstanding benefits package, a convenient DC location, a professional collegial work environment and an opportunity to work on issues of national significance equals a winning combination!

Click Here to review ABA's holistic approach to Benefits and Total Rewards.

Employer of Choice: ABA is recognized with a 2025 Great Company Culture Award and 2025 Great Place to Work designation!

Job Description:

The Director will lead the design and optimization of our marketing technology ecosystem.

This role bridges marketing, data, and engineering to drive scalable growth, improve customer experiences, and maximize ROI across all marketing channels.

Marketing Operations:

  • Work consultatively with marketers to support marketing campaigns: contact list creation/updates, journey consultation and building; social campaign target lists; and Salesforce marketing leads management.
  • Improve campaign execution workflows and automation.
  • Optimize lead management, scoring, and lifecycle processes.
  • Ensure data quality and system hygiene.

Platform Management & Integration

  • Drive platform evaluation and implementation within ABA's MarTech stack:

- Web content management and personalization (e.g. Sitecore, Optimizely)

-Data platforms (CDPs, data warehouses)

  • Support implementation of new platforms to integrate with current MarTech stack:

- SalesForce CRM and Marketing Cloud

- Analytics tools (e.g., Google Analytics, BI platforms)

- Other ABA applications such as LMS, OneLogin, etc.

  • Ensure seamless integration and tracking (APIs, middleware, data pipelines, GTM) across ABA systems, such as CRM, Learning Management, email bulletins and IAM.
  • For features and released on integrated applications, represent MarTech stack to provide consultation and testing support.

MarTech Strategy & Leadership

  • Drive the vision, roadmap, and governance of the marketing technology stack to bring together multiple technologies to create one unified view of a customer.
  • Evaluate, and manage platforms (CDP, MAP, etc.) to deliver the vision of a unified customer profile.
  • Represent marketing and business to prioritize and scope new features, capabilities and emerging technologies (such as AI) that align technology decisions with business and marketing goals.

Data & Analytics:

  • Maintain data governance and data quality.
  • Partner with data teams to ensure accurate segmentation and insights.
  • Turn marketing data into recommendations and actionable strategies.

Cross-Functional Collaboration:

  • Partner with IT, Membership, Product, Sales, and Customer Service teams and vendors.
  • Translate business needs into technical requirements.
  • Act as a key liaison between technical and non-technical stakeholders.

Apply