Senior Software Engineer, Data Platform

StackAdapt is the leading technology company that empowers marketers to reach, engage, and convert audiences with precision. We’re seeking a Senior Engineer to join our Data Platform team, responsible for building and operating the infrastructure that powers data at scale across StackAdapt, ensuring data is fresh, accurate, and cost-efficient for analytics and machine learning teams.

Responsibilities:

• Design and build scalable data pipelines, batch jobs, and streaming processes that power analytics and machine learning
• Implement and optimize data storage systems (warehouses, lakes, analytical databases) with a focus on reliability, lineage, and governance
• Develop tools and frameworks to support data orchestration, ETL workflows, and big data processing
• Collaborate with engineers, data scientists, and product managers to align platform capabilities with business needs
• Ensure data systems meet requirements for quality, scalability, and cost efficiency in cloud environments
• Contribute to technical discussions, code reviews, and system design sessions
• Take ownership of features and projects, driving them from concept to production

Requirements:

• Strong background in software engineering, data engineering and distributed systems, ideally 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
• Solid understanding of data governance, lineage, and cost optimization in cloud environments
• Ability to write clean, maintainable, and performant code in production systems
• Strong problem-solving skills and ability to collaborate across teams