Senior Data Engineer, Product Analytics

Fox•Los Angeles, CA

44d•$143,000 - $177,000•Hybrid

About The Position

We are seeking a Senior Data Engineer to join our Product Research & Analytics team. In this role, you will be responsible for building and maintaining the data infrastructure that powers product decision-making across our DTC streaming platforms. You’ll play a key role in designing data pipelines, ensuring data quality and observability, and enabling the integration of product event data with Media Cloud Platforms (MCPs) and third-party analytics systems. You’ll partner closely with Product, Analytics, and Platform Engineering to scale our data ecosystem and support both internal and external use cases. This role requires strong technical expertise, a proactive mindset, and the ability to independently drive initiatives from design to deployment.

Requirements

Expertise in SQL with experience handling complex, high-volume analytical queries
Proficiency in Python for ETL development, orchestration, and data validation
Hands-on experience working with Snowflake and/or Databricks in production environments
Familiarity with event-based product analytics tools (Heap, Amplitude, Segment, etc.)
Deep understanding of event data models, including user identity stitching, funnel tracking, and page/user interactions
Experience designing and operating integrations between first-party product data and third-party systems (e.g., MCPs, clean rooms, analytics vendors)
Experience with observability and alerting tools like Grafana, Datadog, Monte Carlo, or equivalents
Strong collaboration and communication skills in cross-functional engineering settings
Ability to take ownership of ambiguous problems and drive scalable technical solutions

Nice To Haves

Experience architecting or contributing to data integrations with media measurement, marketing, or audience platforms
Experience with Databricks migrations or transitioning from cloud warehouse to lakehouse environments
Exposure to governance and tagging frameworks, including PII/data privacy handling
Experience in streaming or media analytics environments (video playback, engagement funnels, metadata modeling)
Familiarity with data contract enforcement or CI/CD for data pipelines
Experience managing schema registries, metadata cataloging, or automated testing for pipelines

Responsibilities

Design, build, and maintain scalable ETL/ELT pipelines using Python and SQL
Optimize data workflows for event-level modeling and large-scale analytics use cases
Lead integration of product data with MCPs and third-party measurement or marketing platforms
Collaborate with Analytics and Product Engineering to improve instrumentation, taxonomy, and event tracking consistency
Design and implement observability frameworks to detect schema drift, latency, volume anomalies, and data quality issues
Develop and enforce best practices around data modeling, validation, and governance
Partner with Data Platform and Infrastructure teams to evolve our cloud-based lakehouse architecture (Snowflake, Databricks)
Troubleshoot and resolve complex data pipeline issues independently
Document pipeline logic, integration specs, and data contracts for cross-team collaboration
Support the migration of legacy systems to modern data architectures