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Build and maintain end‑to‑end ETL pipelines using Matillion to extract data from source systems, transform data (clean, join, aggregate), and load into Snowflake
Refactor existing pipelines to improve performance, reliability, and readability
Clean and standardize inconsistent or raw data from multiple sources
Redesign and improve data models to support Tableau reporting and analytics consumption (not a BI development role)
Partner with analytics and reporting teams to ensure data models are performant, intuitive, and accurate
Support ongoing data quality initiatives and pipeline monitoring
Assist with cloud‑based data initiatives, including exposure to data and platform migrations
Document ETL logic, data models, and pipeline processes as needed
Requirements:
3+ years of professional experience in Data Engineering, ETL development, or a related role
Bachelor’s degree in Computer Science, Information Systems, Data Engineering, or a related field
Hands‑on experience with: Matillion ETL, Snowflake, AWS, Tableau (from a data modeling / data engineering perspective)
Experience building and maintaining ETL pipelines in a cloud data warehouse environment
Comfortable working with raw data, evolving schemas, and imperfect source systems
Basic understanding of data modeling concepts for analytics use cases
Exposure to cloud or data platform migrations
Nice to have:
Experience refactoring legacy or inherited ETL pipelines
Familiarity with SQL performance tuning in Snowflake
What we offer:
medical, vision, dental, and life and disability insurance