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Warner Bros. Discovery

Data Engineer I

Warner Bros. Discovery

. Assist in building and maintaining data pipelines that ingest and transform data from various sources, including web traffic, subscription platforms, and ad servers .

Posted 5/8/2026full-timeNew York City • New York • 🇺🇸 United StatesJunior💰 $59,514 - $110,526 per yearWebsite

Tech Stack

Tools & technologies
AirflowCloudETLPythonSQL

About the role

Key responsibilities & impact
  • Assist in building and maintaining data pipelines that ingest and transform data from various sources, including web traffic, subscription platforms, and ad servers
  • Support data analysts with data requests and help answer questions about available datasets
  • Contribute to the development of data models that support reporting on content performance, user engagement, subscriber lifecycle, and advertising revenue
  • Help monitor pipeline performance and escalate data issues as they arise
  • Document data definitions, business logic, and pipeline processes to support team knowledge sharing
  • Write and run data quality tests with guidance from senior engineers

Requirements

What you’ll need
  • 1–2 years of experience in a data engineering, analytics engineering, or similar technical data role (internship or co‑op experience counts)
  • Solid foundational SQL skills and comfort working with structured and semi‑structured data
  • Familiarity with Python for data processing
  • Familiarity with version control tools (e.g., Git)
  • Exposure to cloud data warehouses (e.g., Snowflake)
  • Awareness of ETL/ELT tools or orchestration frameworks such as dbt, Airflow, or Prefect
  • Awareness of data privacy considerations
  • Basic understanding of relational data modeling concepts
  • Basic understanding of how data supports editorial, product, and business decisions in a media environment
  • Good communication skills and a collaborative mindset
  • Eagerness to learn and grow within a supportive team environment

Benefits

Comp & perks
  • Health insurance coverage
  • Employee wellness program
  • Life and disability insurance
  • Retirement savings plan
  • Paid holidays and sick time
  • Paid vacation

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools
SQLPythondata modelingdata quality testsETLELTdata processingdata pipelinesdata transformationversion control
Soft Skills
communicationcollaborationeagerness to learnproblem-solvingteamwork