Healthcare AI Data Engineer (Forward Deployed)

Qualified Health PBC; United States; Hybrid; USD 140,000 - 200,000; Full time

Benefits offered by this job

Equity

Health insurance

Dental & Vision

Flexible hours

Hybrid work options

Job summary

Qualified Health is seeking a Forward Deployed Engineer to architect and implement data integrations for healthcare AI initiatives. You will design end-to-end ETL pipelines, validate data quality, and act as a trusted consultant for health system partners.

You’ll work with PySpark, SQL, and Azure data services, collaborating with an engineering manager and cross-functional teams to deliver high-impact solutions under tight timelines.

Qualifications

• 5+ years of experience in data analytics, data engineering, or solution delivery roles with data integration and ETL expertise.
• Proficient in PySpark and Advanced SQL for data transformation and querying.
• Experience with Azure Databricks, Data Factory, and cloud data lakes.
• Strong data quality, validation, and production ETL capabilities.
• Ability to communicate complex data concepts to varied audiences.

Responsibilities

• Design and build ETL pipelines using PySpark, SQL, and Azure data services.
• Execute data extraction and transformation on health data while ensuring accuracy and standards compliance.
• Develop data quality validation frameworks for integration, QC, and backtesting phases.
• Troubleshoot data issues, optimize pipelines, and build reusable components.
• Collaborate with partners and exchange requirements into precise technical specs.
• Lead production deployments and coordinate with infrastructure teams.
• Leverage AI-assisted coding tools to accelerate delivery.

Skills

PySpark

SQL

Excel

Education

Bachelor's degree in Computer Science, Engineering, Data Science, or related field

Tools

Azure Databricks

Data Factory

Delta Lake

Python

GitHub Actions

Terraform

Job description

Qualified Health is seeking a Forward Deployed Engineer to architect and implement data integrations for healthcare AI initiatives. You will design end-to-end ETL pipelines, validate data quality, and act as a trusted consultant for health system partners.

You’ll work with PySpark, SQL, and Azure data services, collaborating with an engineering manager and cross-functional teams to deliver high-impact solutions under tight timelines.