FOX's advanced technology platform, AdRise, needs a Senior Data Engineer to build and scale Data Management Platform (DMP) and Ads Data systems. These systems are critical for driving FOX's monetization and measurement strategy across platforms by enabling seamless and highly targeted media buying.
Requirements
- Minimum of 5 years of experience in data engineering
- Proven experience designing and maintaining ETL pipelines, preferably within the AWS ecosystem
- Strong proficiency in SQL, Python, and Apache Spark
- Hands-on experience with AWS services such as S3, Lambda, API Gateway, and EMR
- Experience working with Databricks, Snowflake, and Amazon Redshift
- Familiarity with data warehousing concepts, data modeling, and schema design
- Knowledge of data integration and data transformation techniques
Responsibilities
- Design, build, and maintain scalable data pipelines to support the ingestion, transformation, and activation of identity, audience, and advertising data
- Integrate with external identity resolution solutions and data partners to enable audience targeting and segmentation
- Develop data workflows that support ad delivery, campaign performance tracking, and cross-platform reporting
- Build and maintain attribution pipelines that connect first-party and third-party signals to media engagement and conversion events
- Ensure data infrastructure meets standards for quality, reliability, and governance using modern engineering best practices
- Use cloud-based tools and services such as AWS, Databricks, Snowflake, and Redshift to implement robust, production-ready workflows
Other
- Collaborate with teams across engineering, product, and data science to define requirements and deliver actionable data solutions
- Experience working in an Agile development environment is a plus
- Experience working with AdTech data including ad server logs, pixel data, and bid logs
- Understanding of digital identity data and the application of identity graphs in digital advertising ecosystems
- Strong problem-solving skills and attention to detail in complex data environments
- Ability to thrive in a fast-paced, collaborative setting
- Excellent communication skills with the ability to work effectively across technical and non-technical teams
- Demonstrated success in delivering scalable, high-quality data solutions that support business goals
