Note: The job is a remote job and is open to candidates in USA. Fox Corporation produces and distributes content through leading brands including FOX News Media, FOX Sports, FOX Entertainment, FOX Television Stations, and Tubi Media Group. The Senior Software Engineer will build and operate the Audience Builder platform for AdRise, developing large-scale Spark data pipelines, distributed services, APIs, and integrations that transform identity data into privacy-conscious advertising audiences.
Responsibilities
- Design, build, and scale distributed Scala/Spark pipelines on Databricks that compute audience membership over billions of identifiers
- Evolve the Audience Builder platform end to end, including attribute ingestion, identity mapping, audience creation, and activation to ad platform destinations
- Model and manage large Delta Lake tables with careful attention to partitioning, idempotent writes, and reprocessing at scale
- Optimize cost and performance: we have huge Spark workloads on 100+ node clusters, and low-latency services that process thousands of QPS
- Collaborate with Data Platform team to define data contracts to meet business needs
- Integrate with the in-house AdRise ad platform stack
- Ensure the operational success of the team by refining processes and participating in the team's oncall rotation
- Develop and enhance distributed systems for high availability, scalability, and operability at ad-tech scale
- Design data models, bitmap encodings, and APIs that serve product UIs, analytics, and increasingly AI agents as first-class clients
- Partner with ad ops, data science, and business teams to create the tools that turn audience definitions into activated, revenue-generating segments
- Operate partner integrations that determine which audiences are available on which platforms
- Own quality, correctness, and performance of audience sizing and reporting that advertisers and internal stakeholders depend on
Skills
- 6+ years of experience building production data or backend systems
- Strong programming skills in Scala, or a strong background in another JVM/functional language
- Hands-on experience with Apache Spark (or comparable large-scale distributed compute) and columnar/lakehouse formats such as Delta Lake, Parquet, or Iceberg, particularly on Databricks
- Solid understanding of distributed systems, data modeling, partitioning, and performance tuning at scale
- Experience integrating with external APIs and building reliable batch or streaming pipelines
- Bachelor's or Master's degree in Computer Science or a related field, with equivalent industry experience (exceptions made for exceptional candidates)
Benefits
- Annual discretionary bonus
- Medical, dental, and vision benefits
- Insurance
- 401(k) plan
- Paid time off
- Other benefits in accordance with applicable plan documents
Company Overview
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