Senior Data Engineer
Core
Building and maintaining enterprise data platforms, ETL/ELT pipelines, and data storage solutions to support analytics and AI for healthcare diagnostics.
Role type
Senior Data Engineer
Builds
Production data pipelines, data models, and data storage infrastructure
Domain
Healthcare technology / Data Engineering
Deliverable
production ML models | infrastructure
Required skills
SQL, Python, ETL/ELT pipeline design, cloud platforms (GCP, AWS, Azure), data modeling, data governance, data quality routines, big data technologies, containerization
Preferred skills
DBT certification, clinical data experience, FHIR standards, healthcare reference data (ICD, CPT), big data frameworks (Kafka, Hadoop, Spark)
Technologies
Python, Google Cloud Platform, AWS, Azure, BigQuery, S3, Snowflake, DBT, Fivetran, Kafka, Hadoop, Spark, Docker, Kubernetes, FHIR
Responsibilities
Develop complex SQL queries for data extraction and transformation; Design and implement robust ETL/ELT pipelines; Architect and deploy new data models and processes; Build data pipelines to acquire and cleanse data from diverse sources; Partner with data architects to ensure solutions fit business requirements; Identify and implement internal process improvements
Seniority
Senior, hands-on IC