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Data Engineer 3 - Reston, VA - Freewheel

IL - Chicago, 350 N. Orleans St 1300N

Actively hiring, first seen by us 7 days ago
Pay
Multiple pay statements — pay source
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
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.
Read the full posting
Work setting
Not stated
Employment
Full-time — employment source
Employment type in the employer’s posting: Full time
From the employer’s posting

What you’ll work on

Full posting
  • Design and build data architectures and pipelines that transform data for business insights

  • Guarantee data quality across ingestion, processing, and loading

  • Build ingestion frameworks for many data types and report on data quality

  • Provide data for users through APIs, database views, and data extracts

  • Implement data solutions on Kubernetes, Teradata, AWS, and Databricks

From the employer’s posting
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
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

What you’ll bring

All qualifications

Core experience

  • 5-7 years of relevant work experience
  • Strong SQL proficiency
  • Python programming (preferred)
  • Distributed computing frameworks such as Apache Spark
  • Cloud data warehouse management and knowledge of AWS, GCP, or Azure
Qualification wording
5-7 Years
Strong SQL proficiency
Programming language proficiency (Python preferred)
Proficiency in distributed computing frameworks (e.g., Apache Spark)
Knowledge of at least one of cloud provider (AWS, GCP, or Azure)
Education & alternatives
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.
Apply at Comcast

Posting record

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Actively hiringFirst seen by us 7 days ago, still listed, and not a repost of an earlier posting.

Status in our records
Live
First seen by us
Oct 27, 20267 days ago
Recorded sightings
12
Last seen by us
Nov 4, 2026
Employer says posted
Oct 14, 2026

These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.

How this job compares

Pay

$127K–$190K is typical

The middle half of what similar US postings state. This one doesn’t list pay.

From 2,133 postings in the last year. Stated ranges, not salaries paid.

Time since we first saw it

Day 7

Similar jobs usually come down between day 5 and day 54.

From 10,736 similar postings that came down. Coming down is not always a hire.

Comcast is hiring

12 open jobs

Open jobs by the week we first saw them, last 12 weeks.

  • Data Engineer hiring is picking up
  • Takes jobs down quickly
Hiring record

See how this role fits your experience

Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.

  • Python
  • SQL
  • AWS
  • Azure
  • Databricks
  • dbt
  • GCP
  • Kubernetes
  • Looker
  • Snowflake
  • Spark
  • Airflow
Where the posting names them
- Strong SQL proficiency​ - Programming language proficiency (Python preferred)​ - Proficiency in distributed computing frameworks (e.g., Apache Spark)​
Skills Data Lake, Data Lakehouse Architecture, Data Structures, Data Warehousing (DW), Python (Programming Language), Structured Query Language (SQL) Compensation
Job Description - Strong SQL proficiency​ - Programming language proficiency (Python preferred)​
- Cloud Data Warehouse management​ - Knowledge of at least one of cloud provider (AWS, GCP, or Azure)​ - Familiarity with data pipeline design pattern​
- 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
- 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
- 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
- Programming language proficiency (Python preferred)​ - Proficiency in distributed computing frameworks (e.g., Apache Spark)​ - Cloud Data Warehouse management​

Your next step

Complete your application on comcast.wd115.myworkdayjobs.com. The employer’s form will show what is required.

Applying through Workday

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  • Your application status lives in that employer’s Candidate Home, under the same sign-in.

Already applied? Track this application

About the role

We file this job under Data Engineer, by the work the posting describes.

Data engineers build and run the pipelines that copy data out of apps and outside services into a warehouse or lake, and fix them when a source changes or a load fails.

Expect SQL, Python, a cloud platform, a scheduler such as Airflow, and often tools for large data such as Spark or Kafka.

An analytics engineer works one step later, turning the raw data a data engineer lands into clean tables people can query.

US government figures for database architects

Median yearly pay, May 2025
$139,500
Expected change, 2025 to 2035
9.4% more jobsagainst 3.5% for all jobs

The government has no code for data engineers, so these figures are for the closest group, database architects, which includes data integration and data warehousing specialists.

Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1243.

Job description

View original posting ↗

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.
Source details

View original posting ↗

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Pay
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
More source context
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.
Location & working pattern

IL - Chicago, 350 N. Orleans St 1300N

Working pattern and location restrictions need checking in the full posting.

Work authorization

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