Senior Analytics Engineer

5+ years in data engineering with experience building data infrastructure from early stages and making architectural decisions. Strong hands-on experience with ETL/ELT pipelines, data warehousing (Snowflake preferred), orchestration tools (Airflow), and dbt. Advanced SQL skills for complex queries on large datasets, with understanding of performance and cost trade-offs. Experience with data quality, governance, and leading technical discussions across teams of varying expertise. Proficiency with GitHub, Python, and data visualization tools.

Design, build and maintain scalable data pipelines and models using SQL, dbt, and cloud warehouses, owning the entire data engineering function. Implement and optimize ETL/ELT workflows to transform raw data into high-quality datasets while reducing latency and costs. Develop semantic layers and data catalogs that enable self-service analytics and flexible dashboarding for business users. Collaborate with cross-functional teams to define requirements, data contracts, and translate business goals into scalable solutions. Balance urgent needs with long-term infrastructure goals while diagnosing and resolving production issues at scale.