Data Engineer

Job Description: We are seeking a highly skilled and experienced Data Engineer to help shape and scale our supply chain and operations analytics infrastructure. In this role, you will work closely with cross-functional teams—including Operations, Finance, and Analytics—to design, build, and monitor scalable, production-grade data pipelines. Your work will be critical to driving data-informed decisions across the business. --- Requirements: - Develop and maintain automated ETL pipelines using Python, Snowflake SQL, and related technologies. - Ensure robust data quality through unit testing, validation, and continuous monitoring. - Collaborate with stakeholders to ingest and transform large healthcare datasets with accuracy and efficiency. - Leverage AWS services such as S3, DynamoDB, Batch, and Step Functions for data integration and deployment. - Optimize performance for pipelines processing large-scale datasets (1GB+). - Translate business requirements into reliable, scalable data solutions. --- Experience: - 4+ years of hands-on experience as a Data Engineer or in a similar role. - Proven expertise in Python, SQL, and Snowflake for data engineering tasks. - Strong experience building and maintaining production-grade ETL pipelines. - Solid understanding of data validation, transformation, and debugging practices. - Prior experience with healthcare or claims datasets is highly preferred. - Practical knowledge of AWS technologies: S3, DynamoDB, Batch, Step Functions. - Experience working with large datasets and complex data environments. - Excellent verbal and written English communication skills. --- Work Schedule: - Full-time remote position (40 hours/week). - Working hours must align with U.S. Central Time Zone (CT).