Overview
On Site
140k - 250k
Full Time
Skills
Mobile Advertising
EMEA
Innovation
Artificial Intelligence
Decision-making
Data Storage
Machine Learning (ML)
Analytics
Collaboration
Batch Processing
Extract
Transform
Load
Data Governance
Privacy
Regulatory Compliance
Data Engineering
Big Data
Python
Java
Scala
Apache Spark
Apache Flink
Apache Hadoop
SQL
NoSQL
Database
Real-time
Streaming
Apache Kafka
Docker
Kubernetes
Cloud Computing
Computer Science
Problem Solving
Conflict Resolution
Adaptability
Job Details
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
What We're Looking For
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
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.