# Data Engineer

**Company:** [Function Health](https://hotfix.jobs/companies/function-health)
**Location:** Remote
**Role:** Data Engineering
**Experience:** 1+ years
**Skills:** Python, SQL, Apache Airflow, Prefect, AWS, Azure, Databricks, Spark, Dask, ETL, Dicom, HIPAA, GDPR, Data Observability, Data Validation
**Posted:** 2026-08-31

> 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.

## Job Description

## 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.

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**Apply:** https://hotfix.jobs/jobs/12578cbb-e467-43e8-a0a0-41c238500ae9
**Canonical:** https://hotfix.jobs/jobs/12578cbb-e467-43e8-a0a0-41c238500ae9