Senior Data Engineer
Core
Design, build, and maintain scalable data pipelines, ETL processes, and robust data storage solutions (warehouses, lakes, databases) to enable reliable data integration and analytics for a global mental health platform.
Role type
Senior Data Engineer
Builds
Scalable data infrastructure, pipelines, and storage solutions for a mental health benefits platform
Domain
HealthTech / Data Engineering
Deliverable
production ML models | product features | dashboards & analysis
Required skills
Python, Go, Scala, SQL, AWS, Azure, Google Cloud, Snowflake, Redshift, BigQuery, data modeling, data architecture, data governance, distributed systems
Preferred skills
None stated
Technologies
AWS, RDS, Snowflake, Fivetran, DBT, Prefect, Looker, Datadog, PostgreSQL, MySQL
Responsibilities
Design and maintain scalable data pipelines and ETL processes; Architect and implement robust data storage solutions; Partner with AI engineers and data analysts to deliver data solutions; Optimize and tune data systems for performance and scalability; Ensure data quality, accuracy, and integrity through testing and monitoring; Establish and enforce data governance standards
Seniority
Senior, hands-on IC
