Senior Data Engineer

- 6–8+ years of experience designing, building, and operating data warehouses, data lakes, and ETL/ELT pipelines in production environments - Exposure to or experience with Kafka - Strong problem-solving and troubleshooting skills, with the ability to identify, investigate, and resolve complex data issues and system failures, and to lead technical investigations - Proven experience building, designing, or optimizing data pipelines using Snowflake - Experience with CI/CD pipelines for testing, deployment, and release (e.g., GitHub Actions, Jenkins) - Exposure to or experience with data quality frameworks - Experience supporting analytics, reporting, or data user tools (e.g., Tableau, Looker, ThoughtSpot, Sigma) - BS/BA degree in Computer Science or equivalent experience - Exposure to or experience with AWS and cloud services such as S3, ECS, and RDS, including building cloud-native data platforms - Strong proficiency in Python for building, optimizing, and maintaining data pipelines and services - Experience using data transformation tools like DBT - Proven expertise architecting and optimizing batch and streaming data pipelines - Experience developing or delivering data platforms or applications for large enterprise clients - Background or previous engagement with healthcare and/or social determinants of health (SDOH) data products, including designing, building, or maintaining pipelines for healthcare claims and clinical data, with an understanding of data quality, scale,…