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

BRMi

Technical Project Manager

Vienna, VA · On-site

$107K - $135K/yr

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 ...

BRMi

Technical Project Manager

Vienna, VA · Hybrid

$107K - $135K/yr

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 ...

BRMi

Technical Project Manager

Vienna, VA · Hybrid

$107K - $135K/yr

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 ...

INSPYR Solutions

Technical Program Manager

Vienna, VA · Hybrid

$129K - $167K/yr

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

BRMi

Technical Project Manager

Vienna, VA · Hybrid

$107K - $135K/yr

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 ...

ID.me

Director of Martech

Mclean, VA · On-site

To learn more, visit About the role This is a high-impact technical leadership role at the intersection of marketing, data engineering, and product. You'll build the MarTech stack from a strong ...

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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
Sr. Lead Data Engineer (Enterprise Platforms Technology)

Sr. Lead Data Engineer (Enterprise Platforms Technology)

Capital One

Mclean, VA • On-site

Full-time

Posted 8 days ago

Capital One rating

7.7

Company rating: 7.7 out of 10

Based on 135 frontline employees who took The Breakroom Quiz

73rd of 141 rated banks

Job description

Sr. Lead Data Engineer (Enterprise Platforms Technology)
Do you love building and pioneering in the technology space? Do you enjoy solving complex business problems in a fast-paced, collaborative, inclusive, and iterative delivery environment? At Capital One, you'll be part of a big group of makers, breakers, doers and disruptors, who solve real problems and meet real customer needs. We are seeking Data Engineers who are passionate about marrying data with emerging technologies. As a Capital One Senior Lead Data Engineer, you'll have the opportunity to be on the forefront of driving a major transformation within Capital One.
The Marketing and Messaging team is responsible for delivering hyper-personalized messages and experiences that will delight the customer, attract prospects and drive increasing business value. The team builds scalable platforms that deliver omnichannel messages in owned and paid Adtech channels.
What You'll Do:
  • Collaborate with and across Agile teams to design, develop, test, implement, and support technical solutions using data movement tools and technologies
  • Work, as a lead developer, with a team of developers with deep experience in data movement, distributed computing, and full stack systems
  • Utilize programming languages like Python, SQL and Open Source RDBMS and NoSQL databases and Cloud based data warehousing services such as Snowflake, Databricks
  • Optimize information system for end-user and downstream application consumers by using sound data design practices
  • Share your passion for staying on top of tech trends, experimenting with and learning new technologies, participating in internal & external technology communities, and mentoring other members of the engineering community
  • Collaborate with digital product managers, and deliver robust cloud-based solutions that drive powerful experiences to help millions of Americans achieve financial empowerment
  • Perform unit tests and conduct reviews with other team members to make sure your code is rigorously designed, elegantly coded, and effectively tuned for performance

Basic Qualifications:
  • Bachelor's Degree
  • At least 6 years of experience in application development (Internship experience does not apply)
  • At least 2 years of experience in big data technologies
  • At least 1 year experience with cloud computing (AWS, Microsoft Azure, Google Cloud)

Preferred Qualifications:
  • Master's Degree
  • 9+ years of experience in application development including Python, SQL, Scala, or Java
  • 4+ years of experience with a public cloud (AWS, Microsoft Azure, Google Cloud)
  • 5+ years experience with Distributed data/computing tools (MapReduce, Hadoop, Hive, EMR, Kafka, Spark, or MySQL)
  • 4+ year experience working on real-time data and streaming applications
  • 4+ years of experience with NoSQL implementation (Mongo, Cassandra)
  • 4+ years of data warehousing experience (Redshift or Snowflake)
  • 4+ years of experience with UNIX/Linux including basic commands and shell scripting
  • 4+ years of experience with data modeling and data warehousing
  • 2+ years of experience with Agile engineering practices
  • 1+ years of experience leveraging AI-assisted coding tools (Claude Code, Github Copilot) to accelerate the software delivery process

Capital One will consider sponsoring a new qualified applicant for employment authorization for this position.
The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked.
McLean, VA: $229,900 - $262,400 for Sr. Lead Data Engineer
New York, NY: $250,800 - $286,200 for Sr. Lead Data Engineer
Richmond, VA: $209,000 - $238,500 for Sr. Lead Data Engineer
Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter.
This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.
Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level.
This role is expected to accept applications for a minimum of 5 business days.
No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.
If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.
For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com
Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site.
Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

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