About the role
Responsible for building and maintaining scalable data pipelines and reusable datasets.
- •Senior Data Engineer responsible for building and maintaining scalable data pipelines and reusable datasets across the analytics and data science stack, reporting to the VP of Engineering.
- •Key Responsibilities Build, optimize, and maintain data pipelines.
- •Define and build reusable datasets for BI, Marketing, and Data Science.
- •Design and implement federated data validation frameworks.
- •Ensure data privacy and security best practices.
- •Requirements 4+ years software/data engineering experience.
- •Expertise in SQL and Python; strong pipeline and data modeling skills.
- •Experience with Airflow, PostgreSQL, Iceberg, Snowflake, Spark.
- •Familiarity with healthcare/HIPAA and data security.
Tech stack
SQLPythonAirflowPostgreSQLSnowflakeSpark
Match insights
Tech:SQL, Python, Airflow, PostgreSQL, Snowflake
Level:Senior