Data Engineer I — Build Scalable Healthcare Data Pipelines

Duly Health and Care; Chicago (IL); On-site; USD 65,000 - 85,000; Full time

Benefits offered by this job

Medical benefits

Tuition reimbursement

401(k) match

Volunteer time off

Parental leave

Life and disability insurance

Mental health benefit

Job summary

Duly Health and Care is seeking a Data Engineer I to help build, operate, and improve data pipelines feeding analytics, reporting, and AI across the enterprise. You will work with senior engineers to grow into a data engineering career in healthcare.

Strong SQL and Python fundamentals are important as you contribute to our cloud data platform, data ingestion, transformation, and pipeline monitoring in a physician‑led environment.

Qualifications

• Bachelor's degree in computer science, information systems, data science, engineering, or a related field, or 2 years of related experience.
• Proficiency in SQL for data analysis and transformation.
• Experience with Python or another scripting language.
• Experience with cloud data platforms such as Azure Data Factory, Delta Lake, Databricks, or similar.
• Familiarity with Git and CI/CD practices.
• Healthcare or Epic Clarity experience not required; training provided.

Responsibilities

• Pipeline development and data integration: build, test, and maintain batch and incremental data pipelines from source systems into the enterprise lakehouse.
• Data quality, monitoring, and platform support: monitor runs, troubleshoot failures, implement data quality rules, and ensure data privacy and security.
• Collaboration and continuous improvement: partner with architects, analysts, BI developers, and data scientists to deliver trusted data sets and improve standards.

Skills

SQL

Data modeling

ETL/ELT

Python

Databricks

Spark

Git/CI-CD

Communication

Attention to detail

Education

BSc in CS/IS/Engineering

Tools

Azure Data Factory

Delta Lake

Databricks

Spark

Job description

Duly Health and Care is seeking a Data Engineer I to help build, operate, and improve data pipelines feeding analytics, reporting, and AI across the enterprise. You will work with senior engineers to grow into a data engineering career in healthcare.

Strong SQL and Python fundamentals are important as you contribute to our cloud data platform, data ingestion, transformation, and pipeline monitoring in a physician‑led environment.