Related skills
bigquery snowflake sql python databricks📋 Description
- Design scalable, secure data architectures for AI/analytics.
- Define ingestion, transformation, storage, and access specs.
- Evaluate tools and cloud infra to optimize performance and cost.
- Ensure architecture aligns with AI analytics and clinical goals.
- Build high-performance batch and streaming data pipelines.
- Apply CI/CD, observability, incident response, SLA practices.
🎯 Requirements
- Bachelor's or Master's degree in Computer Science or related field.
- 12+ years in data engineering or platform roles, 4+ in the field.
- Cloud-native data processing design and implementation.
- Python, Scala, SQL and Apache Spark proficiency.
- Cloud data platforms: Databricks, Snowflake, BigQuery, Redshift.
- Healthcare standards: FHIR, HL7, USCDI, CCDA.
Meet JobCopilot: Your Personal AI Job Hunter
Automatically Apply to Data Jobs. Just set your
preferences and Job Copilot will do the rest — finding, filtering, and applying while you focus on what matters.
Help us maintain the quality of jobs posted on Empllo!
Is this position not a remote job?
Let us know!