Senior Data Engineer - Cloud Data Pipelines

Comcast Advertising

Olympia (WA)

On-site

USD 134,000 - 201,000

Full time

14 days+

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Job summary

FreeWheel, a Comcast company, is seeking a Sr. Data Engineer in Reston, VA to design and maintain advanced data pipelines and storage solutions. You’ll mentor juniors and guide strategic data engineering initiatives across multiple teams.

The role emphasizes independence in module ownership, data quality, and collaboration with cloud platforms (AWS/GCP/Azure) while supporting ad-tech data products and modern data tooling.

Qualifications

  • Bachelor's degree in a related field or equivalent experience.
  • Strong SQL, Python, and data pipeline development skills.
  • Experience with cloud data platforms and data warehousing.

Responsibilities

  • Develop data structures and pipelines to standardize data and enable insights.
  • Ensure data quality across ingestion, processing, and loading to target tables.
  • Create ingestion frameworks for structured/unstructured data with quality checks.
  • Expose data via views and APIs for downstream applications.
  • Apply frameworks on Kubernetes, Teradata, and Databricks aligned to standards.
  • Assess data storage needs based on privacy and access requirements.
  • Understand data lineage and transformation rules for troubleshooting.
  • Collaborate with management to optimize data sourcing and processing.
  • Mentor junior data engineers and contribute to internal tools.

Skills

Advanced SQL
Python
Apache Spark
Cloud data warehouse management
Workflow orchestration
Data observability
Data modeling

Education

Bachelor's Degree

Tools

dbt
Airflow
Databricks
Kubernetes
Teradata
Snowflake

Job description

FreeWheel, a Comcast company, is seeking a Sr. Data Engineer in Reston, VA to design and maintain advanced data pipelines and storage solutions. You’ll mentor juniors and guide strategic data engineering initiatives across multiple teams.

The role emphasizes independence in module ownership, data quality, and collaboration with cloud platforms (AWS/GCP/Azure) while supporting ad-tech data products and modern data tooling.

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