Data Engineer
Build and scale secure, cloud-native data pipelines and orchestration systems for healthcare imaging, biomarkers, analytics, and AI. The role requires Python, SQL, Airflow or similar orchestration, cloud platforms, Databricks, and distributed processing experience.
About the job
Responsibilities
- Design, build, and operate scalable data pipelines and orchestration systems for imaging and biomarker data.
- Build secure, compliant data infrastructure aligned with healthcare standards such as HIPAA and GDPR.
- Improve performance and fault tolerance across distributed data workflows.
- Integrate DICOM and other data pipelines into the broader data lake and analytics stack.
- Implement data validation, observability, testing, and monitoring for production pipelines.
- Collaborate with data science, machine learning, AI, and product teams to ensure data reliability and accessibility.
- Automate data ingestion, transformation, cataloging, and access for analytics and machine learning use cases.
Requirements
- 1–2+ years of experience in data engineering, ETL development, or cloud-based data orchestration.
- Strong proficiency in Python and SQL.
- Hands-on experience with workflow orchestration tools such as Airflow or Prefect.
- Experience with cloud platforms and services, especially AWS; Azure experience is also relevant.
- Experience building on Databricks and using distributed processing frameworks such as Apache Spark or Dask.
- Understanding of data validation, observability, testing, and production best practices.
- Strong communication and documentation skills, with the ability to work across technical teams.
Nice-to-haves
- Experience in healthcare, imaging, biotech, or other high-trust data environments.
- Experience working with PHI-sensitive data and healthcare standards.
- GCP familiarity.
- 1–2+ years of experience in data science, analytics, or applied research if holding a PhD or having published research.
Benefits
- Stock options.
- Comprehensive health, dental, and vision plans for employees and families.
- Wellness and commuter benefits.
- Competitive vacation policy.
- Flexible working hours and a learning-focused culture.
Skills
Python, SQL, Apache Airflow, Prefect, AWS, Azure, Databricks, Spark, Dask, ETL, Dicom, HIPAA, GDPR, Data Observability, Data Validation
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