Data Engineer 3 - FreeWheel

hackajob is collaborating with Comcast to connect them with exceptional tech professionals for this role.

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

We are seeking a Data Engineer - expertise in Looker, LookML, SQL, and API-driven data distribution. The ideal candidate will be responsible for building complex analytical reports, designing scalable data models in LookML, and developing APIs to enable seamless data access for end-users. If you are passionate about data exploration, visualization, and delivering insights that drive business impact, this is the role for you!

Job Description

Core Responsibilities:

• Develop, optimize, and maintain analytical reports in Looker, ensuring accuracy, efficiency, and usability for business stakeholders.
• Design and implement scalable LookML models, enabling flexible and reusable data exploration layers.
• Optimize SQL queries and data transformations to improve reporting performance and scalability.
• Build APIs and services to provide real-time and batch data access to end users and external applications.
• Integrate and embed Looker analytics into customer-facing applications, ensuring seamless access to insights.
• Collaborate with business teams, data analysts, and engineers to understand data requirements and build intuitive reporting solutions.
• Ensure data accuracy, consistency, and governance across analytics platforms.
• Monitor and troubleshoot performance issues in Looker, SQL queries, and API services.
• Implement complex data testing frameworks and CI/CD pipelines for Looker models to ensure reliability and efficiency.
• Stay up to date with best practices in Looker, BI tools, and data engineering to continuously enhance data products.
• 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.
  
  

Qualifications

• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.
• 2 years of experience in data engineering, analytics engineering, or business intelligence development.
• Familiarity or Experience in Looker and LookML or Power BI or Tableau
• Proficiency in SQL, including query optimization, data modeling, and transformation techniques.
• Familiarity with building APIs and data services to expose analytical insights to internal and external users.
• Experience with modern cloud-based data platforms (e.g., Snowflake, Databricks, ClickHouse, AWS S3).
• Strong problem-solving skills, attention to detail, and ability to troubleshoot data issues effectively.
  
  

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.
• Respect and promote inclusion & diversity.
• Do what's right for each other, our customers, investors and our communities.
  
  

Why Join FreeWheel?

Cutting-Edge Technology: Work with modern data stacks, cloud platforms, and real-time processing frameworks.

Innovation-Driven Culture: Collaborate with top engineers, data scientists, and industry leaders shaping the future of ad tech.

Growth & Impact: Solve complex, large-scale data challenges with tens of billions of daily events in a high-impact role.

Flexible & Inclusive Work Environment: We value diverse perspectives, work-life balance, and professional development.

About FreeWheel

FreeWheel, a Comcast company, is a global leader in advanced advertising technology, enabling seamless transactions across screens, data types, and sales channels. Operating in nine countries, FreeWheel powers global ad insertion and recently launched Universal Ads, a cross-publisher TV advertising platform in collaboration with major media players like NBCUniversal, Warner Bros. Discovery, and Roku. Committed to innovation, inclusivity, and professional growth, FreeWheel fosters a dynamic work environment where diverse perspectives thrive while shaping the future of premium video advertising.

About The FreeWheel Data Team

The FreeWheel Data Team is a global, high-impact engineering team focused on building scalable, high-performance, efficient data platforms and rich analytic user experiences. We develop solutions to ingest, transform, organize, and distribute vast volumes of advertising and audience data, enabling a Unified Data Lake and Data Warehouse that powers customer-facing products, machine learning applications, and real-time analytics. We process tens of billions of ad events daily, leveraging a modern data stack that includes Databricks, AWS, Apache Spark, ClickHouse, Snowflake, and Google Looker.

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 Engineering, Python (Programming Language), Structured Query Language (SQL)

Compensation

Primary Location Pay Range: $100,118.14 - $150,177.21