Data Engineer

Daniels Health•Chicago, IL

15h

About The Position

Daniels Health is seeking a hands-on Data Engineer to build scalable ELT/ETL pipelines with strong SQL, Python, and Databricks skills. The ideal candidate will be collaborative, organized in Agile environments, and passionate about clean data and engineering excellence. Daniels Health is a mission-driven global innovator in healthcare waste management, operating across the U.S., Australia, Canada, Europe, and South Africa. They are experiencing significant global growth and scaling their data and AI capabilities to power smarter decision-making, seamless integrations, and sustainable innovation across their rapidly expanding global operations.

Requirements

3+ years of data engineering or software engineering experience
Advanced SQL and Python expertise with proven ability to write efficient, scalable code
Hands-on Databricks experience and strong understanding of medallion architecture
Familiarity with GitHub, version control workflows, and automated testing practices
Understanding of data quality frameworks and experience working in Agile/Scrum environments

Responsibilities

Architect and build ELT/ETL pipelines ingesting data from APIs, applications, databases, and SaaS platforms into Databricks
Own bronze and silver layers using PySpark, SQL, and medallion architecture best practices
Implement automated testing, monitoring, alerting, and data quality frameworks to ensure pipeline reliability
Develop reverse ETL pipelines to move curated data back into operational systems
Partner with Analytics Engineers, BI teams, and stakeholders to define data contracts and integrate new sources
Champion data governance, security standards, and engineering best practices across the organization