Data Engineer
Core
Design, develop, and maintain scalable, reliable, and secure data platforms that power business intelligence and data-driven decision-making.
Role type
Senior IC data engineer (platform & architecture)
Builds
Scalable ETL pipelines, data ingestion systems, and optimized data storage/processing layers
Domain
Cloud data engineering, data architecture, and data governance
Deliverable
production ML models
Required skills
Python, SQL, ETL pipeline development, cloud data platforms (AWS/GCP/Azure), data architecture patterns, data quality and governance, project management
Preferred skills
Modern data platforms (Snowflake, Redshift, BigQuery), big data/streaming frameworks (Spark, Kafka), data orchestration (Airflow), healthcare/insurance domain experience
Technologies
Python, SQL, AWS, GCP, Azure, Snowflake, Redshift, BigQuery, Spark, Kafka, Airflow
Responsibilities
Design and build robust ETL pipelines; Automate data ingestion from diverse sources; Optimize data storage and processing layers; Modernize legacy data systems; Mentor engineering teams and enforce best practices; Ensure end-to-end data quality and governance; Collaborate cross-functionally to translate requirements into data models; Drive data strategy and self-service analytics
Seniority
Senior, hands-on IC with mentorship responsibilities
