Tech Stack

Description

You'll design and build scalable data pipelines, batch jobs, and streaming processes that power analytics and machine learning at StackAdapt. You'll implement and optimize data storage systems, develop tools for data orchestration and ETL workflows, and collaborate with engineers, data scientists, and product managers to align platform capabilities with business needs.

Requirements

• Strong background in software engineering, data engineering and distributed systems at scale (terabytes+)
• Hands-on experience with modern data warehouses, lakes, and compute/storage technologies (e.g., Snowflake, Pinot, TiDB, Spark, Airflow, Kafka, Trino/Presto)
• Experience designing and building robust ETL pipelines and real-time streaming processes
• Understanding of data governance, lineage, and cost optimization in cloud environments
• Ability to write clean, maintainable, and performant code in production systems

Responsibilities

• Design and build scalable data pipelines, batch jobs, and streaming processes
• Implement and optimize data storage systems with focus on reliability, lineage, and governance
• Develop tools for data orchestration, ETL workflows, and big data processing
• Collaborate with engineers, data scientists, and product managers
• Contribute to technical discussions, code reviews, and system design sessions