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

Sr Data Analyst

Reston, VA ยท 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 ...

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 ...

Director, Marketing Technology

Washington, DC ยท On-site

$112K - $140K/yr

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 ...

Technical Program Manager (TPM)

Merrifield, VA ยท On-site

$128K - $166K/yr

... Marketing Data Science teams - Coordinate with engineering, architecture, security, and risk teams - Translate analytic requirements into execution plans Governance, Risk & Compliance - Support ...

Showing results 41-60

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 Aug 8, 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 is a marketing data engineer?

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.

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 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:
Infographic showing various Marketing Data Engineer job openings in Reston, VA as of July 2026, with employment types broken down into 1% As Needed, 83% Full Time, 12% Part Time, 1% Temporary, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $134,951 per year, or $64.9 per hour.

Sr Data Analyst

TriOptus LLC

Reston, VA โ€ข On-site

$89K - $112K/yr

Full-time

Re-posted 23 days ago


Job description

Update on 2/13-
This position will not have a supplier spotlight call due to the hiring manager's limited availability, so if you have any questions, please email them to me directly. As you review this requisition, please pay close attention to the location - this role is on?site, so please make sure your candidates are fully available once they are shortlisted in case they are asked to interview.
For this role, instead of shortlisting the top five, I will be sending the hiring manager 10 resumes instead.
Max Bill Rate: 100.00
Job Description:
  • Collecting data from internal and external sources, ensuring accuracy, and removing duplicates or errors.
  • Applying statistical and analytical techniques to identify trends, correlations, and anomalies.
  • Creating dashboards, charts, and reports using tools like Excel, SQL, Python, and Tableau to communicate findings to stakeholders.
  • Translating complex datasets into actionable recommendations for business strategy, marketing, or operations.
  • Working with cross-functional teams, including project managers, business analysts, and marketing, to understand data needs and develop solutions.
  • Ensuring compliance with data management policies, maintaining data integrity, and supporting data architecture and modeling efforts.
Skills and Qualifications:
  • Proficiency in SQL, Excel, Python, R, and data visualization tools like Tableau or Power BI.
  • Ability to interpret complex data, identify patterns, and provide actionable insights.
  • Translating technical findings into clear, business-friendly language for stakeholders.
  • Understanding of business processes, KPIs, and regulatory requirements, especially in marketing.
  • 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 Customer Data Platforms.