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

Meta

Director, Marketing Data Science

Washington, DC

$253K/yr

Director, Marketing Data Science Responsibilities: * Lead Measurement & Analytics: Oversee the ... Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or ...

Ra

Marketing Analytics Manager

Arlington, VA · On-site

Who is proficient in Applied Statistics/Econometrics, Statistical Programming, Database Marketing Management & Operations etc. Who is proficient in Customer-level data analysis. Qualifications Who ...

Ra

Marketing Analytics Manager

Washington, DC · On-site

Who is proficient in Applied Statistics/Econometrics, Statistical Programming, Database Marketing Management & Operations etc. Who is proficient in Customer-level data analysis. Qualifications Who ...

Ra

Marketing Analytics Senior Manager

Washington, DC

Who is proficient in Applied Statistics/Econometrics, Statistical Programming, Database Marketing Management & Operations etc. Who is proficient in Customer-level data analysis. Qualifications Who ...

FocusKPI

Marketing Operations Analyst

Annandale, VA

As a Marketing Operations Analyst on the Marketing Operations & Technology team, you'll help share ... Data Integration: Collaborate with cross-functional teams such as IT and engineering to integrate ...

FocusKPI

Marketing Operations Analyst

Adelphi, MD

As a Marketing Operations Analyst on the Marketing Operations & Technology team, you'll help share ... Data Integration: Collaborate with cross-functional teams such as IT and engineering to integrate ...

FocusKPI

Marketing Operations Analyst

Rockville, MD

As a Marketing Operations Analyst on the Marketing Operations & Technology team, you'll help share ... Data Integration: Collaborate with cross-functional teams such as IT and engineering to integrate ...

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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 Jun 14, 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.

Are data engineers highly paid?

Data engineers typically earn high salaries due to their specialized skills in managing large datasets, working with tools like SQL, Python, and cloud platforms. Their compensation often reflects the demand for expertise in data architecture, pipeline development, and data management across industries.

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 data quality and accessibility for marketing analytics and decision-making.

Is AI replacing data engineers?

AI is automating certain tasks within data engineering, such as data cleaning and pipeline management, but it does not replace the need for data engineers. Data engineers are essential for designing, building, and maintaining data infrastructure, and their expertise is crucial for integrating AI tools effectively into data workflows.

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 positions often require advanced technical expertise, certifications, and may include bonuses or stock options that contribute to total compensation.
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

Technical Program Manager - Marketing Data Science

CC Pace Systems, Inc.

Vienna, VA • On-site

$129K - $167K/yr

Contractor

Posted 28 days ago

Job description

Technical Program Manager - Marketing Data Science

Location: Vienna, Virginia

Hybrid: Three days per week onsite

Role Summary

The Technical Program Manager (TPM) supports the Marketing Data Science organization by leading the delivery, integration, and operationalization of data-driven and analytics-enabled marketing capabilities. This role ensures that data platforms, pipelines, models, and AI-enabled use cases are delivered in a compliant, scalable, and production-ready manner—bridging Data Science innovation with enterprise execution.

The TPM partners closely with Marketing Data Science, Marketing stakeholders, and Enterprise Technology teams to translate analytic concepts into actionable capabilities that enable targeting, measurement, experimentation, and member-centric decisioning at scale.

Key ResponsibilitiesData & Analytics Program Delivery
  • Lead cross-functional delivery of marketing data and analytics initiatives (e.g., data integrations, analytic enablement, model activation, measurement frameworks)
  • Manage multiple concurrent data-centric workstreams, dependencies, risks, and delivery milestones
  • Ensure analytics initiatives move from discovery or POC into governed, repeatable production solutions
Data Science & Technical Partnership
  • Serve as the primary operational partner to Marketing Data Science teams, supporting intake, prioritization, and delivery of analytics use cases
  • Coordinate with Enterprise Technology, data engineering, architecture, security, and risk teams to support data ingestion, access, and platform readiness
  • Translate analytic requirements (models, features, signals, measurement needs) into executable delivery plans
Governance, Risk & Compliance Enablement
  • Support enterprise governance processes related to analytics and data use, including:
    • Data Transfer Authorizations (DTAs)
    • Security and privacy reviews
    • Architecture and operational readiness approvals
  • Ensure analytics solutions align to enterprise data standards, risk tolerance, and regulatory expectations
Measurement, Experimentation & Activation Support
  • Enable activation of analytic outputs into marketing platforms (e.g., targeting, segmentation, propensity-based journeys)
  • Support design and delivery of test-and-learn frameworks, measurement plans, and performance reporting
  • Partner with analytics teams to ensure results are traceable, explainable, and actionable by Marketing stakeholders
Stakeholder Communication & Influence
  • Provide clear, executive-ready updates on data and analytics initiatives, including risks, trade-offs, and decision points
  • Act as a translator between technical data teams and non-technical business partners
Ways of Working & Continuous Improvement
  • Contribute to standardized intake, prioritization, and delivery models for analytics-driven work within Marketing
  • Identify opportunities to improve data delivery speed, clarity, and scalability through better processes, tooling, and cross-team alignment
Required Qualifications
  • Extensive experience delivering complex, cross-functional technical or data-driven programs
  • Strong understanding of analytics, data platforms, and how models and insights are operationalized
  • Proven ability to work effectively with data scientists, engineers, and business partners
  • Advanced program management skills including planning, dependency management, and risk mitigation
  • Strong communication skills across technical and executive audiences
Preferred Qualifications
  • Experience supporting marketing analytics, decision science, or data-informed personalization
  • Familiarity with enterprise data governance, security, and privacy considerations
  • Experience enabling AI or advanced analytics use cases within regulated environments
  • PMP, CSM, or equivalent experience and training
What Sets This Role Apart
  • Emphasis on analytics enablement over feature delivery
  • Focus on data pipelines, models, measurement, and activation
  • Strong partnership with Marketing Data Science rather than pure MarTech platform ownership
  • Heavy interaction with risk, security, and data governance functions

We are an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We do not discriminate on the basis of race, color, religion, sex, national origin, age, disability, genetic information, or any other protected characteristic under federal, state, or local laws.

We are committed to employing only candidates who are legally authorized to work in the United States. For compliance with the Immigration Reform and Control Act of 1986, all new employees must complete the Employment Eligibility Verification Form I-9 and provide documentation establishing identity and authorization to work. E-Verify will be used for employment verification as part of the onboarding process.

We value integrity throughout our hiring process. Candidates will be asked to provide documentation confirming employment history, education, and work authorization.