Senior Data Engineer

Job Summary

Working remotely in a full-time capacity, the Senior Data Engineer will design and build scalable data pipelines and infrastructure to support Fetch's recommendation and audience targeting systems, collaborating closely with cross-functional teams to ensure high-quality data access and processing.

Key responsibilities

• Design, build, and operate scalable data pipelines using batch and real-time processing technologies to handle terabytes of data daily
• Establish and enforce data contracts with backend engineering teams, implementing schema management and data quality checks
• Collaborate with machine learning engineers to develop infrastructure that supports personalized recommendations and real-time APIs

Required qualifications

• 6+ years of professional experience in data engineering with a focus on production data systems at scale
• Proven experience with modern data processing frameworks such as Apache Spark, Kafka, and Flink
• Strong foundation in data architecture principles, including data modeling and schema design
• Proficiency in at least one modern programming language (Go, Python, Java, or Rust) and strong SQL skills
• Undergraduate or graduate degree in Computer Science, Data Science, Engineering, Mathematics, Statistics, or a related field