Senior Data Engineer (AI Data Platform)

About You You are a Senior Data Engineer who thrives on solving hard production problems, not just designing solutions on paper. You have a track record of taking ownership of complex data platforms end to end, diagnosing bottlenecks, refactoring what’s broken, and shipping improvements that hold up under real production load. You’re energized by optimization work: making queries faster, pipelines leaner, and warehouses more efficient, and you can point to the measurable impact of the changes you’ve driven. You’re comfortable operating independently within an established architecture, partnering with architects and fellow engineers rather than needing to define the roadmap yourself. Above all, you care about outcomes, clean data, reliable pipelines, and systems that perform when it matters. Note: This is a 6-month temporary opportunity with the possibility of extension. You Bring to Applaudo the Following Competencies: Bachelor's Degree in Computer Science, Software Engineering, Information Systems, or a related field is desired, or equivalent professional experience. 5+ years of experience as a Data Engineer, with a demonstrated record of independently building, optimizing, and owning production-scale data platforms. Proven experience refactoring live schemas and executing safe, production-grade data migrations. Hands-on experience consolidating and deduplicating data within a Medallion Architecture (Bronze, Silver, Gold). Strong Snowflake expertise, including query profiling, performance tuning, warehouse sizing, clustering, and cost optimization. Solid dbt experience, including model design, incremental models, materializations, and testing. Experience developing and refactoring Airflow DAGs and operating pipelines in production. Advanced SQL skills with a strong track record of diagnosing and resolving production performance issues. Working proficiency in Python for data engineering tasks. Experience with Git and CI/CD practices in a production environment. Comf