Senior Staff Data Engineer

Warner Bros. Discovery

Confirmed live today High trust
Hybrid

Quick summary

Work type
Hybrid
Location
Atlanta, GA
Salary
$144,060–$267,540 / yr
Employment
Full-time
Posted
6 days ago
Freshness
Confirmed live today

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $210k
This role $206k
$129k $282k
below market most similar roles pay here above market

This role pays more than 51% of similar roles. Most pay $164,362–$254,750 — the blue band above. At the midpoint, this role pays about $206k versus about $210k for comparable roles.

Based on 240 similar postings.

Employer

About Warner Bros. Discovery

Warner Bros. Discovery is a global media and entertainment company operating a broad portfolio of iconic content and brands including Warner Bros. film studio, HBO, CNN, Discovery Channel, and Max streaming service. Industry: Media & Entertainment

Warner Bros. Discovery currently has 58 open roles on FindRole.

Listed pay typically runs $132,300–$245,700 across 24 roles with salary data.

Most-posted roles

View all roles at Warner Bros. Discovery

At a glance

TL;DR · Senior Staff Data Engineer

The Senior Staff Data Engineer joins the team to design and deliver high-scale data pipelines processing billions of daily ad events across a global ecosystem. This role involves modernizing legacy ad-tech systems into modular, cloud-native lakehouse architectures while ensuring mission-critical data is delivered reliably for monetization and decisioning. Key responsibilities include maintaining ingestion, ETL, and activation pipelines for real-time and batch processing, as well as mentoring junior engineers and partnering with data science to operationalize ML models. The position requires expertise in AWS, Spark, Flink, Presto, Kafka, Kinesis, and open table formats like Iceberg, Delta, and Hudi. Candidates must possess deep knowledge of distributed systems, CI/CD, and observability to solve complex advertising workflows involving forecasting, yield optimization, identity, and campaign execution.

What does a Data Engineer earn?

Median $159000 from 203 postings across 58 companies.

See salary data

What you'll do

  • Design and maintain ingestion, ETL, and activation pipelines for multi-billion event datasets.
  • Optimize data workflows for latency, reliability, and scalability in cloud-native environments.
  • Modernize legacy ad-tech systems into open, lakehouse-based architectures like Iceberg, Delta, or Hudi.
  • Embed observability, data lineage, and automation frameworks to reduce technical debt.
  • Operationalize ML models for forecasting, optimization, and personalization in partnership with Data Science.
  • Deliver low-latency, privacy-compliant data to ad servers, identity systems, and activation platforms.
  • Act as a domain expert to mentor junior engineers and elevate engineering standards across global teams.

What we're looking for

  • Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.
  • PhD preferred for advanced expertise in distributed systems or statistical optimization.
  • 12+ years of experience designing and operating enterprise-scale data platforms with high-throughput pipelines.
  • Hands-on expertise with AWS/GCP/Azure, open table formats (Iceberg, Delta, Hudi), and distributed compute (Spark, Flink, Presto).
  • Deep knowledge of Kafka, Kinesis, or Pub/Sub for powering low-latency ingestion and activation.
  • Skilled in CI/CD, automation, observability, and governance frameworks for enterprise-grade data engineering.
  • Familiarity with advertising workflows including forecasting, yield optimization, identity, and campaign execution.
  • Demonstrated ability to partner with data scientists, product, and platform engineering while mentoring junior engineers.

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