Senior Staff Data Engineer, Advertising Technology

Warner Bros. Discovery

Confirmed live today Low trust
Hybrid

Quick summary

Work type
Hybrid
Location
Atlanta, GA
Salary
$144,060–$267,540 / yr
Posted
3 days ago
Freshness
Confirmed live today

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $203k
This role $206k
$129k most similar roles pay here $282k

This role pays more than 56% of similar roles. Most pay $162,000–$243,950 — the shaded band above. At the midpoint, this role pays about $206k versus about $203k 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 35 open roles on FindRole.

Listed pay typically runs $115,640–$214,760 across 24 roles with salary data.

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View all roles at Warner Bros. Discovery

At a glance

TL;DR · Senior Staff Data Engineer, Advertising Technology

The Senior Staff Data Engineer joins the team to design and deliver high-scale data pipelines that process billions of daily ad events across a global ecosystem. This role involves modernizing legacy workflows into modular, cloud-native lakehouse architectures while ensuring mission-critical data is delivered reliably for monetization and decisioning. The candidate will build ingestion, ETL, and activation pipelines for real-time and batch processing, while partnering with Data Science to operationalize machine learning models. Key technical requirements include expertise in AWS, open table formats like Iceberg, Delta, or Hudi, and distributed compute engines such as Spark, Flink, and Presto. The role also requires proficiency in Kafka or Kinesis for low-latency ingestion. The work focuses on solving complex advertising technology challenges, including yield optimization, identity systems, and privacy-compliant data delivery within a high-throughput environment.

What does a Data Engineer earn?

Median $162000 from 205 postings across 57 companies.

See salary data

What you'll do

  • Design and maintain high-scale ingestion, ETL, and activation pipelines for multi-billion event datasets.
  • Optimize data workflows for latency, reliability, and scalability within cloud-native environments.
  • Modernize legacy ad-tech systems into open, lakehouse-based architectures using Iceberg, Delta, or Hudi.
  • Implement observability, data lineage, and automation frameworks to reduce technical debt.
  • Partner with Data Science teams to operationalize machine learning models for forecasting and personalization.
  • Ensure downstream data delivery to ad servers and identity systems is low-latency and privacy-compliant.
  • Act as a domain expert in distributed systems to set technical standards for global engineering teams.
  • Mentor junior engineers and establish best practices for large-scale data engineering projects.

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 (preferred).
  • 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 like Iceberg, Delta, or Hudi, and distributed compute such as Spark, Flink, or 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 cross-functional teams and mentor junior engineers.

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