1

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

Sales & Marketing Data Manager

Mclean, VA · On-site

$135K - $225K/yr

The Sales & Marketing Data Manager is an internal IT role that serves as a strategic partner to ... Lead the design and delivery of modern data engineering solutions that enable AIready data ...

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

Senior Data Engineer

Herndon, VA · Remote

$150K - $195K/yr

Join us in revolutionizing automotive marketing and technology through powerful, data-driven insights, continuous improvement, and an unwavering commitment to reliability.

Senior Data Engineer

Herndon, VA · On-site +1

$150K - $195K/yr

Join us in revolutionizing automotive marketing and technology through powerful, data-driven insights, continuous improvement, and an unwavering commitment to reliability.

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

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

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

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 ...

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 ...

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 ...

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 ...

next page

Showing results 1-20

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 13, 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 cities near Reston, VA are hiring for Marketing Data Engineer jobs? Cities near Reston, VA with the most Marketing Data Engineer job openings:
Sales & Marketing Data Manager

Sales & Marketing Data Manager

Guidehouse

Mclean, VA • On-site

$135K - $225K/yr

Full-time

Medical, Dental, Vision, Life, Retirement

Posted 20 days ago


Guidehouse rating

7.5

Company rating: 7.5 out of 10

Based on 26 frontline employees who took The Breakroom Quiz

37th of 58 rated business consultants


Job description

Job Family:

Software Development & Support


Travel Required:

Up to 10%


Clearance Required:

None

What You Will Do:

The Sales & Marketing Data Manager is an internal IT role that serves as a strategic partner to sales, marketing, and executive leadership. This role is responsible for helping the business define, govern, and operationalize the data needed to measure performance, monitor business health, and support data-driven decision-making. The ideal candidate combines strong data and analytics expertise with business acumen, stakeholder influence, and the ability to translate business questions into clear metrics, dimensions, and actionable insights.

  • Partner with sales, marketing, finance, and executive stakeholders to identify the most important questions, decisions, and performance indicators needed to manage the business.

  • Lead the design and delivery of modern data engineering solutions that enable AIready data, ensuring scalable, highquality data pipelines (Databricks, Azure Data Lake Gen2, etc.) and alignment to enterprise data discipline standards.

  • Develop and manage data products for sales and marketing and other dataintensive domains, leveraging tools such as Python, R and advanced analytics techniques to drive business insights and measurable value.

  • Work closely with the AI & Data team to establish and enforce data discipline across the lifecycle-data quality, lineage, and governance (enablement)-to ensure reliable, reusable, and business-owned data assets.

  • Lead definition of key business metrics, calculations, and dimensions that enable consistent reporting and meaningful insights across sales and marketing processes.

  • Identify, assess, and document relevant data sources across CRM, marketing automation, ERP, data warehouse, and other enterprise systems.

  • Translate business requirements into scalable data definitions, reporting logic, and analytic models that support dashboards, scorecards, and ad hoc analysis to drive business outcomes.

  • Influence leaders and subject matter experts to align common definitions, prioritize data needs, and adopt standard measures for performance management.

  • Establish and maintain data governance practices for data domains, including metric definitions, data quality standards, business rules, and documentation.

  • Proactively identify gaps, inconsistencies, and risks in sales and marketing data, and drive remediation plans to improve trust, usability, and decision support.

  • Support ongoing business reviews, planning cycles, forecasting discussions, and performance management processes with reliable and timely data.

  • Promote a data-driven culture by helping stakeholders interpret results, understand metric tradeoffs, and use insights to inform decisions and actions.

  • Manage metadata, business glossaries, and documentation for core sales and marketing data assets and reporting logic.

  • Improves confidence in commercial data by increasing transparency, consistency, and data quality across reporting.


What You Will Need:

  • Bachelor's Degree and minimum 10 years of experience in data management, analytics, business intelligence, sales operations, marketing operations, or a related role or 14 years of relevant experience in lieu of degree.

  • US Citizenship required.

  • Experience working with sales and marketing data domains, including pipeline, bookings, revenue, campaign performance, funnel conversion, customer segmentation, or related commercial metrics.

  • Proficiency with Databricks, Azure Data Lake Gen2.

  • Demonstrated ability to work across business and technical teams to define requirements, align stakeholders, and deliver analytic solutions.

  • Strong understanding of KPI design, metric standardization, dimensional modeling concepts, and data governance principles.

  • Strong communication and facilitation skills, with the ability to influence senior leaders and subject matter experts without direct authority.

  • Experience documenting business definitions, logic, and requirements in a clear and sustainable manner.

  • Strong analytical, problem-solving, and critical-thinking skills with attention to detail and business context.

  • Ability to manage multiple priorities in a fast-paced, cross-functional environment.


What Would Be Nice To Have:

  • Knowledge of CRM and marketing platforms such as Dynamics 365 (Sales/Customer Insights), GA4, SitecoreAI.

  • Experience with cloud data platforms, data warehouses, semantic models, or master data management practices.

  • Understanding of data privacy, access controls, and compliance considerations related to customer and commercial data.

The annual salary range for this position is $135,000.00-$225,000.00. Compensation decisions depend on a wide range of factors, including but not limited to skill sets, experience and training, security clearances, licensure and certifications, and other business and organizational needs.


What We Offer:

Guidehouse offers a comprehensive, total rewards package that includes competitive compensation and a flexible benefits package that reflects our commitment to creating a diverse and supportive workplace.

Benefits include:

  • Medical, Rx, Dental & Vision Insurance

  • Personal and Family Sick Time & Company Paid Holidays

  • Position may be eligible for a discretionary variable incentive bonus

  • Parental Leave and Adoption Assistance

  • 401(k) Retirement Plan

  • Basic Life & Supplemental Life

  • Health Savings Account, Dental/Vision & Dependent Care Flexible Spending Accounts

  • Short-Term & Long-Term Disability

  • Student Loan PayDown

  • Tuition Reimbursement, Personal Development & Learning Opportunities

  • Skills Development & Certifications

  • Employee Referral Program

  • Corporate Sponsored Events & Community Outreach

  • Emergency Back-Up Childcare Program

  • Mobility Stipend

About Guidehouse

Guidehouse is an Equal Opportunity Employer-Protected Veterans, Individuals with Disabilities or any other basis protected by law, ordinance, or regulation.

Guidehouse will consider for employment qualified applicants with criminal histories in a manner consistent with the requirements of applicable law or ordinance including the Fair Chance Ordinance of Los Angeles and San Francisco.

If you have visited our website for information about employment opportunities, or to apply for a position, and you require an accommodation, please contact Guidehouse Recruiting at 1-571-633-1711 or via email at RecruitingAccommodation@guidehouse.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodation.

All communication regarding recruitment for a Guidehouse position will be sent from Guidehouse email domains including @guidehouse.com or guidehouse@myworkday.com. Correspondence received by an applicant from any other domain should be considered unauthorized and will not be honored by Guidehouse. Note that Guidehouse will never charge a fee or require a money transfer at any stage of the recruitment process and does not collect fees from educational institutions for participation in a recruitment event. Never provide your banking information to a third party purporting to need that information to proceed in the hiring process.

If any person or organization demands money related to a job opportunity with Guidehouse, please report the matter to Guidehouse's Ethics Hotline. If you want to check the validity of correspondence you have received, please contact recruiting@guidehouse.com. Guidehouse is not responsible for losses incurred (monetary or otherwise) from an applicant's dealings with unauthorized third parties.

Guidehouse does not accept unsolicited resumes through or from search firms or staffing agencies. All unsolicited resumes will be considered the property of Guidehouse and Guidehouse will not be obligated to pay a placement fee.


What Guidehouse employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom