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# Senior Software Engineer, Data Platform

- **Company:** StackAdapt Inc.
- **Location:** United States (Remote available)
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Airflow, Big Data, Code Review, Databases, Information Engineering, Data Governance, Data Infrastructure, Extract Transform Load (ETL), Dataspaces, Data Systems, Data Warehousing, Distributed Systems, Machine Learning, Performance Tuning, Software Engineering, Data Streaming, Data Storage Technologies, Snowflake, Apache Spark, Build Management, Storage Technologies, Apache Kafka, Presto, Data Pipelines
- **Published:** May 15, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=10f76504041b2d34

## About the Role

Do you have experience in System design?, * 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.

Impact of the role: As a Senior Engineer on the Data Platform team, you'll help shape the backbone of StackAdapt's data ecosystem. The reliability and scalability of the systems you build will directly influence how quickly and confidently teams across the company can innovate using data.

## Description

* 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.


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