Senior Data Warehouse Engineer Job at Unity in San Francisco

The opportunity

As the leading development platform for online and mobile games, Unity propels developers' creations to new heights. Unity Monetization empowers developers to thrive through innovative advertising, in-app purchases, and analytics. We're seeking a Senior Data Engineer to join our dynamic team and build scalable, high-performance data frameworks for Unity's next-gen data platform, supporting advanced analytics, reporting, and machine learning. Join us and be at the forefront of game-changing data solutions in a rapidly growing industry.

What you'll be doing

• Build the foundational data infrastructure for analytics, reporting, and machine learning data pipelines and products
• Develop internal data tools and APIs to empower Unity's data teams in their business analysis and reporting efforts
• Collaborate with various internal teams to design and implement scalable, automated data pipeline frameworks based on their needs
• Participate in and take ownership of developing data solutions and APIs that ensure seamless and secure data workflows
• Drive innovation in data infrastructure to support and enhance data-driven decision-making across Unity

What we're looking for

• Proven expertise in handling big data, with significant experience in end-to-end ETL pipeline design and utilizing modern data stack tools with cloud data warehouses like BigQuery and Snowflake
• Proficiency with Kafka, Spark, and Flink for developing batch and streaming data pipelines and products using Iceberg table storage formats
• Fluency in Python, with solid experience in using Airflow for orchestration and advanced SQL skills
• Experienced in automating CI/CD pipelines with GitHub Actions or similar technologies, and managing cloud infrastructure using Terraform on platforms like GCP, AWS, or Azure

You might also have

• Proficiency in additional programming languages such as Scala or Go
• Understanding of various data storage engines (SQL, NoSQL, key-value stores, object stores)
• Experience with high-performance, distributed data storage solutions such as Druid/Imply for OLAP workloads

Additional information

• Relocation support is not available for this position.
• International relocation support is not available for this position.

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