Data Engineer 3 - Reston, VA - Freewheel

Comcast; Reston (VA); On-site; USD 85,000 - 120,000; Full time

Benefits offered by this job

Best-in-class benefits

Eligible for a bonus

Job summary

Comcast is seeking a skilled data architect in Reston, Virginia, to design and manage advanced data structures and pipelines. Responsibilities include ensuring data quality and accessibility through strategic solutions across various platforms, with a focus on compliance.

The ideal candidate should hold a Bachelor's Degree and have 5-7 years of relevant experience, strong SQL proficiency, and familiarity with programming languages like Python. The role offers competitive pay and best-in-class benefits.

Qualifications

• 5-7 years of relevant work experience.
• Strong SQL and programming skills, preferably in Python.
• Experience with cloud data technologies.

Responsibilities

• Design data architectures and pipelines for data integrity.
• Guarantee data quality during all processing phases.
• Collaborate with teams to optimize data quality and efficiency.

Skills

SQL proficiency

Python programming

Apache Spark

Cloud Data Warehousing

Familiarity with AWS, GCP, or Azure

Data pipeline design

Data observability

Embedded Business Intelligence (e.g., Looker)

Education

Bachelor's Degree

Tools

Kubernetes

Teradata

Databricks

Job description

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 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
• Consistently exercise independent judgment and discretion in matters of significance
• Regular, consistent and punctual attendance; must be able to work nights and weekends, variable schedule 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 and act in ways that put our customers first, giving them seamless digital options at every touchpoint.
• Know your stuff, be enthusiastic learners, users and advocates of our technology, products and services.
• Win as a team, making big things happen by working together and being open to new ideas.
• Participate in the Net Promoter System, gathering feedback to improve our customers’ experiences.
• 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.

Equal Opportunity Statement

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.

Pay & Benefits

Base pay is one part of the Total Rewards that Comcast provides to compensate and recognize employees for their work. Most non‑sales positions are eligible for a Bonus. Comcast provides best‑in‑class benefits to eligible employees. For more details, please visit our careers site.

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

5–7 Years