Comcast / Xfinity logo

Data Engineer 3 - Reston, VA - Freewheel

Comcast / Xfinity

Reston, VAFull-time$104–170K/yrPosted 3w agoStill listed 4 days ago

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At a glance

Compensation
$104–170K/yr
Location
Reston, VA
Schedule
Full-time
Work Authorization
Not specified

Olive lists jobs from US employers, including remote roles you can work from the United States.

Job overview

FreeWheel, a Comcast company, develops advertising platforms for publishers, advertisers, and media buyers. This role independently designs and manages data structures, pipelines, and platform solutions, with a focus on data quality, accessibility, privacy, and regulatory compliance. It serves as a technical resource supporting business initiatives through data process and storage optimization. The posting lists a bachelor’s degree as required while noting that related coursework and experience may also be considered.

Skills & qualifications

RequiredNice to have

Skills

SQLPythonDistributed ComputingCloud Data WarehousingCloud PlatformsData Pipeline DesignData ObservabilityLookerDbtAirflowSnowflakeData Consumption

Qualifications

Bachelor's Degree5+ Years Experience

Full job description

FreeWheel, a Comcast company, provides comprehensive ad platforms for publishers, advertisers, and media buyers. Powered by premium video content, robust data, and advanced technology, we’re making it easier for buyers and sellers to transact across all screens, data types, and sales channels. As a global company, we have offices in nine countries and can insert advertisements around the world.

Job Summary This job independently designs, develops, and manages advanced data structures and pipelines, ensuring data quality and accessibility. It strategically implements data solutions across various platforms, maintaining compliance with privacy and regulatory standards. The role acts as a technical resource, optimizing data processes and storage to support key business initiatives. Job Description

  • Strong SQL proficiency​

  • Programming language proficiency (Python preferred)​

  • Proficiency in distributed computing frameworks (e.g., Apache Spark)​

  • Cloud Data Warehouse management​

  • Knowledge of at least one of cloud provider (AWS, GCP, or Azure)​

  • Familiarity with data pipeline design pattern​

  • Knowledge of data observability​

  • Exposure to Embedded Business Intelligence like Looker is desired but not required

  • Exposure to modern data stack such as dbt, Airflow, Snowflake, Apache Spark is highly desired

  • Exposure to Data Consumption challenges and solutions is highly desired

Responsibilities:

  • Designing and constructing data architectures and pipelines to standardize, transform, and ensure the integrity of data for business insights
  • Guaranteeing data quality throughout the ingestion, processing, and loading phases, with a focus on maintaining high standards
  • Engineering robust ingestion frameworks for a variety of data types, while monitoring and reporting on data quality
  • Developing accessible methods for data consumption, including APIs, database views, and data extracts for user applications
  • Implementing data solutions on multiple platforms such as Kubernetes, Teradata, and cloud services like AWS and Databricks
  • Selecting appropriate data storage platforms based on data sensitivity, privacy requirements, and access needs
  • Mastering data lineage and applying transformation rules for effective change management and issue resolution
  • Collaborating with cross-functional teams to refine data sourcing and processing, ensuring optimal data quality and efficiency
  • Consistent exercise of independent judgment and discretion in matters of significance.
  • Regular, consistent and punctual attendance. Must be able to work nights and weekends, variable schedule(s) as necessary.
  • Other duties and responsibilities as assigned.

Employees at all levels are expected to:

  • Understand our Operating Principles; make them the guidelines for how you do your job.
  • Own the customer experience think and act in ways that put our customers first, give them seamless digital options at every touchpoint, and make them promoters of our products and services.
  • Know your stuff be enthusiastic learners, users and advocates of our game-changing technology, products and services, especially our digital tools and experiences.
  • Win as a team make big things happen by working together and being open to new ideas.
  • Be an active part of the Net Promoter System a way of working that brings more employee and customer feedback into the company by joining huddles, making call backs and helping us elevate opportunities to do better for our customers.
  • Drive results and growth.
  • Support a culture of inclusion in how you work and lead.
  • Do what's right for each other, our customers, investors and our communities.

Disclaimer: This information has been designed to indicate the general nature and level of work performed by employees in this role. It is not designed to contain or be interpreted as a comprehensive inventory of all duties, responsibilities and qualifications.

Skills Data Lake, Data Lakehouse Architecture, Data Structures, Data Warehousing (DW), Python (Programming Language), Structured Query Language (SQL)

Compensation Illinois Pay Range: $103,643.32 - $155,464.99

This job can be performed in Virginia with a Pay Range of $103,643.32 - $170,271.17

Comcast intends to offer the selected candidate base pay within this range, dependent on job-related, non-discriminatory factors such as experience. The application window is 30 days from the date job is posted, unless the number of applicants requires it to close sooner or later.

Base pay is one part of the Total Rewards that Comcast provides to compensate and recognize employees for their work. Most sales positions are eligible for a Commission under the terms of an applicable plan, while most non-sales positions are eligible for a Bonus. Additionally, Comcast provides best-in-class Benefits to eligible employees. We believe that benefits should connect you to the support you need when it matters most, and should help you care for those who matter most. That’s why we provide an array of options, expert guidance and always-on tools, that are personalized to meet the needs of your reality – to help support you physically, financially and emotionally through the big milestones and in your everyday life. Please visit the compensation and benefits summary on our careers site for more details.

Education Bachelor's Degree (Required)

While possessing the stated degree is preferred, Comcast also may consider applicants who hold some combination of coursework and experience, or who have extensive related professional experience. Certifications (if applicable)

Relevant Work Experience 5-7 Years

Comcast is an equal opportunity workplace. We will consider all qualified applicants for employment without regard to race, color, religion, age, sex, sexual orientation, gender identity, national origin, disability, veteran status, genetic information, or any other basis protected by applicable law.

How this job compares

Set against the 5,790 open Data Engineer jobs on Olive Jobs, counted November 4, 2026.

Pay
  • This posting$104–170K/yr
  • Virginia median$116–190K/yr336 salary ranges
  • US median$125–208K/yr4,462 salary ranges

This range's midpoint, $137K, is 12% below the Virginia median midpoint ($155K) — in the middle half of Data Engineer salary ranges in Virginia.

Openings
Olive Jobs lists 414 open Data Engineer jobs in Virginia and 5,790 across the US. 9% of them nationwide are listed as remote or flexible.
Hiring the most in Virginia
Experience
This posting asks for at least 5 years of experience; Data Engineer postings that state a minimum ask for 5 years at the median (5,030 postings).
Education
2,225 of the 5,790 open Data Engineer jobs (38%) ask for a bachelor's degree or higher.

Counted across the open, public US postings on Olive Jobs on November 4, 2026. Pay medians are the middle values of the low ends and of the high ends of postings that list both ends of a range in the same cadence (a yearly salary or an hourly rate); a range's midpoint is halfway between its ends. Pay and experience figures resting on fewer than 20 postings are left out.

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