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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Data Engineer 3 - Reston, VA - Freewheel - **Company:** Xfinity - **Location:** Reston, VA, United States - **Experience:** Expert - **Salary:** $113,514.0 - $170,271.0 - **Contract:** Permanent contract - **Skills:** Sql Data Warehouse, Application Programming Interfaces (APIs), Airflow, Amazon Web Services, Microsoft Azure, Extract Transform Load (ETL), Data Transformation, Data Systems, Data Warehousing, Software Design Patterns, Distributed Computing Environment, Python (Programming Language), Cloud Services, Standard Sql, DataOps, SQL Databases, Teradata SQL, Data Storage Technologies, Snowflake, Apache Spark, Data Lakes, Kubernetes, Data Lineage, Data Lakehouse, Database View, Looker Analytics, Data Pipelines, Databricks, Programming Languages - **Published:** August 10, 2026 - **Apply:** https://www.careerjet.com/job/us2d8971615ba6d6193e8c0f5bf283164e/eaa ## About the Role 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, Data Lake; Data Warehouse ETL; Data Warehouse; Structured Query Language (SQL); Data Lakehouse Architecture; Data Transformation; Python (Programming Language), 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 5-7 Years ## Description * 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. ## Related Videos - [From Messy Queries to Scalable Systems - How Data Engineering actually works](https://www.wearedevelopers.com/videos/100203-from-messy-queries-to-scalable-systems-how-data-engineering-actually-works) - [How Cisco embraced a DevOps culture within its network engineering team](https://www.wearedevelopers.com/videos/99-how-cisco-embraced-a-devops-culture-within-its-network-engineering-team) - [Enjoying SQL data pipelines with dbt](https://www.wearedevelopers.com/videos/823-enjoying-sql-data-pipelines-with-dbt) - [Data Science in Retail](https://www.wearedevelopers.com/videos/586-data-science-in-retail) - [Hacking AI at the Edge of the Indian Ocean](https://www.wearedevelopers.com/videos/100177-hacking-ai-at-the-edge-of-the-indian-ocean) - [AI Model Management Life Circles: ML Ops For Generative AI Models From Research to Deployment](https://www.wearedevelopers.com/videos/1152-ai-model-management-life-circles-ml-ops-for-generative-ai-models-from-research-to-deployment) ## Related Articles - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [Making Data Warehouses Fast: A Developer’s Story](https://www.wearedevelopers.com/magazine/107-making-data-warehouses-fast-a-developer-s-story) - [Data Engineer Salary UK](https://www.wearedevelopers.com/magazine/253-data-engineer-salary-uk) - [Top Big Data Technologies That You Need to Know](https://www.wearedevelopers.com/magazine/108-top-big-data-technologies-that-you-need-to-know) - [The Most Popular IT Jobs on the Market](https://www.wearedevelopers.com/magazine/376-the-most-popular-it-jobs-on-the-market) - [Fully Remote Software Engineer Jobs](https://www.wearedevelopers.com/magazine/447-fully-remote-software-engineer-jobs)