Data Engineer 3 - Reston, VA - Freewheel

Comcast (CC) of Willow Grove; Chicago (IL); On-site; USD 104,000 - 155,000; Full time

Job summary

Comcast is seeking a data engineering professional to design, build, and manage advanced data structures and pipelines ensuring quality and accessibility. This role drives data solutions across platforms while complying with privacy and regulatory standards.

The candidate will optimize data processes, support business initiatives, and collaborate with cross-functional teams to refine data sourcing and processing, including Kubernetes, Teradata, and cloud services.

Qualifications

• 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 cloud provider (AWS, GCP, or Azure).
• Familiarity with data pipeline design pattern.
• Knowledge of data observability.
• Exposure to embedded BI 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 data integrity for business insights.
• Guaranteeing data quality throughout ingestion, processing, and loading phases with high standards.
• Engineering robust ingestion frameworks for various data types and monitoring data quality.
• Developing accessible methods for data consumption (APIs, database views, data extracts).
• Implementing data solutions on platforms like Kubernetes, Teradata, AWS and Databricks.
• Selecting appropriate data storage platforms based on data sensitivity and access needs.
• Mastering data lineage and applying transformation rules for change management.
• Collaborating with cross-functional teams to refine data sourcing and processing for quality and efficiency.
• Performing duties with independence and reliability; willingness to work nights/weekends.

Skills

SQL proficiency

Python

Distributed computing (Spark)

Cloud data warehouse

Cloud provider knowledge (AWS/GCP/AZ)

Data pipeline design patterns

Data observability

Looker exposure

dbt/Airflow/Snowflake/Spark exposure

Data consumption solutions

Education

Bachelor's Degree

Tools

Kubernetes

Teradata

AWS

Databricks

Looker

dbt

Airflow

Snowflake

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

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.

At Comcast , you have the power to connect the world. Your career options are endless as you grow in your career. Explore your future with access to a variety of teams, locations, and resources in an expanding network. You can also explore additional opportunities at our company, NBCUniversal.