Motion Recruitment | Jobspring | Workbridge

Senior Data Engineer/Adtech Experience

San Francisco , California

Hybrid

Full Time

$140k - $250k

Data Engineer - Adtech Experience Required

Are you passionate about building scalable data systems that power cutting-edge AI solutions? We’re looking for a Data Engineer to join a fast-growing, globally distributed engineering team. If you thrive in a high-performance environment and love working with big data, this could be the perfect opportunity for you.

This position requires you to be onsite 4 days a week in San Francisco. 

About the Company
We're working with an AI-driven company revolutionizing the mobile advertising space. Their proprietary platform processes over 5 million ad requests per second from 10+ billion devices, delivering high-impact solutions to advertisers worldwide. With offices in the U.S., EMEA, and APAC, and a 14-year track record of innovation, they remain independently operated and continue to scale rapidly.

What You'll Do
As a Data Engineer, you’ll play a key role in building the data infrastructure behind their AI-powered platform. Your work will directly support real-time decision-making, machine learning pipelines, and their broader ad-tech ecosystem.

Responsibilities

  • Design and maintain scalable ETL pipelines for massive, multi-source data ingestion

  • Optimize data storage and retrieval for machine learning and analytics

  • Collaborate with data scientists and engineers to clean, prepare, and transform data

  • Build real-time and batch processing systems using Spark, Kafka, or Flink

  • Implement robust monitoring and alerting for data pipeline health

  • Ensure data governance, privacy, and compliance

  • Integrate data solutions into broader engineering infrastructure

What We're Looking For

  • 3+ years in data engineering or big data (6+ years for Senior role)

  • Proficient in Python, Java, or Scala

  • Strong knowledge of Apache Spark, Flink, or Hadoop

  • Experience with SQL and NoSQL databases

  • Familiarity with real-time streaming tools like Kafka or Pulsar

  • Experience with Docker, Kubernetes, or cloud-native data tooling is a plus

  • Bachelor's or Master’s degree in Computer Science or related field

  • Excellent problem-solving skills and adaptability

Posted by: Carly Thomas

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