Motion Recruitment
Senior Data Engineer/Adtech Experience
Motion Recruitment, San Francisco, California, United States, 94199
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. Theirproprietary 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, theyremain 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 theirAI-powered platform. Your work will directly support real-time decision-making, machine learning pipelines, and theirbroader 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
#J-18808-Ljbffr
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. Theirproprietary 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, theyremain 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 theirAI-powered platform. Your work will directly support real-time decision-making, machine learning pipelines, and theirbroader 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
#J-18808-Ljbffr