Senior Data Engineer

Join our team as a Senior Data Engineer, where you will design and implement data architecture and infrastructure aligned with business objectives. You will collaborate with various teams to ensure data systems support client and product requirements, develop and maintain ETL processes, and ensure data integrity and governance. You will also guide the team on technical best practices, contribute to system architecture, and support operational activities. Enjoy a range of benefits including medical, dental, and vision insurance, flexible time off, and a 401(k) with employer match.

• Design and implement a data architecture and infrastructure aligned with business objectives, ensuring data systems support client and product requirements.
• Develop, create, and maintain ETL processes and data pipeline solutions for efficient loading of data into the data warehouse, testing and optimizing for reliability and performance.
• Guide the team on technical or data engineering best practices, contributing to system or platform architecture and supporting operational activities.

• 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, sensitivity, and compliance requirements in this space
• Experience with orchestration frameworks such as Apache Airflow
• Experience designing high-performance, reliable systems, including exposure to operational best practices
• Advanced SQL knowledge, including complex query authoring and familiarity with relational databases such as Snowflake, Redshift, and Postgres
• Experience with infrastructure and data tooling including Kubernetes, Terraform, and Docker
• Strong communication skills and the ability to collaborate effectively with cross-functional and non-technical stakeholders