Data Engineer 2 - Reston, VA - Freewheel

Posted An Hour Ago
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Reston, VA, USA
Hybrid
Mid level
Digital Media • Information Technology • News + Entertainment
Come to Comcast and bring connection to life.
The Role
Design, build, and maintain data pipelines, ingestion frameworks, and warehouses/lakes (Snowflake, Databricks). Ensure data quality, lineage, and transformation; support analytics and ML; create APIs and views for consumption; participate in code reviews and data governance. Work may require nights/weekends.
Summary Generated by Built In
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 is integral to the development and optimization of data structures and pipelines, ensuring quality and efficient data flow. It supports advanced analytics and machine learning initiatives, while also managing data storage solutions. The role requires collaboration with partners for process optimization and adherence to data governance standards.
Job Description
  • Proven exposure to at-least one of the major programming language - Python, Golang, Java
  • Strong analytical and problem solving skills
  • Exposure to modern data stack (dbt, airflow, snowflake) but not required
  • Exposure to highly collaborative environments

Responsibilities:
  • Developing data structures and pipelines to collect, standardize, and transform data for insight generation and reporting
  • Ensuring data quality throughout ingestion, processing, and loading to target tables, with a focus on standardization and transformation rules
  • Creating ingestion frameworks for various data types and establishing methods for data consumption through views, extracts, and APIs
  • Maintaining data warehouses and lakes, including API development for data access, while managing solutions on Snowflake, and Databricks platforms
  • Understanding data lineage and transformation to enable efficient troubleshooting and impact analysis during system changes
  • Collaborating with technology partners to optimize data sourcing, processing rules, and ensure process optimization and data quality
  • Handling data migrations and conversions in response to evolving platforms and new standards, while recognizing and resolving technical issues
  • Designing and monitoring ETL processes to support efficient data flow and collaborating with analytics teams for model deployments
  • Participating in code reviews and contributing to data governance and compliance efforts in adherence to industry regulations
  • 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.
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.
Skills:
Structured Query Language (SQL); Python (Programming Language); Data Structures
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
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.
Relevant Work Experience
2-5 Years

Skills Required

  • Experience with Python, Golang, or Java
  • Proficiency with SQL
  • 2-5 years relevant work experience
  • Experience building ETL/data pipelines and ingestion frameworks
  • Experience with data warehouses/lakes (Snowflake, Databricks)
  • Exposure to modern data stack (dbt, Airflow)
  • Strong analytical and problem-solving skills
  • Ability to work nights, weekends, and variable schedules
  • Bachelor's degree (or equivalent coursework/experience)

What the Team is Saying

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Comcast Compensation & Benefits Highlights

  • Healthcare Strength Company‑sponsored medical, dental and vision plans, 24/7 virtual care, mental‑health support, and Calm access signal robust healthcare coverage. These offerings are prominently included in the core package.
  • Retirement Support A company 401(k) match described as generous alongside an ESPP discount indicates strong retirement and ownership support. Financial coaching and related programs further reinforce long‑term security.
  • Parental & Family Support Paid parental leave for primary and non‑primary caregivers and family‑forming support for fertility, adoption, and surrogacy demonstrate meaningful family coverage. Backup and caregiving resources are also referenced across materials.

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