Analytics Engineer

Daniels Health • Chicago, IL

14h • $85,395 - $105,195

About The Position

Join one of the fastest‑growing healthcare sustainability companies in the world.

Daniels Health continues to expand rapidly across North America, Europe, and Asia‑Pacific—redefining how clinical waste is managed through innovation, safety, and environmentally responsible solutions. As our global footprint grows, so does our investment in data excellence.

We're building the next generation of analytics capabilities to support smarter decision‑making, operational efficiency, and scalable global growth—and we're looking for a talented Analytics Engineer to help shape that future.

Why Daniels Health?
At Daniels, your work contributes to something bigger: supporting hospitals, improving patient safety, reducing environmental impact, and transforming an entire industry. You'll join a data‑driven team within a company accelerating its global maturity, modernizing its tech stack, and investing heavily in advanced analytics, BI, AI, and automation. This is your opportunity to influence architecture, shape standards, and help build a world‑class data ecosystem from the ground up.

What You'll Do
As an Analytics Engineer, you'll architect and deliver production‑ready, trusted datasets that power reporting, dashboards, and enterprise analytics across the globe.

Requirements

• 3+ years in analytics engineering, data engineering, or BI development.
• Advanced SQL skills and experience writing scalable transformation logic.
• Strong understanding of data modeling, ETL/ELT, and medallion architecture.
• Experience with Databricks or other cloud data platforms.
• Proficiency in Python, PySpark, or dbt.
• Familiarity with Power BI or similar visualization tools.
• Experience with data quality frameworks and automated testing.
• Comfort working in Agile/Scrum environments.

Responsibilities

• Build and maintain gold‑layer tables in our Databricks lakehouse using medallion architecture best practices.
• Create clean, scalable, high‑quality data assets that fuel operational reporting and advanced analytics.
• Implement rigorous data validation, testing, and quality frameworks to ensure trust and reliability.
• Optimize dataset performance and usability within Databricks.
• Collaborate with Data Engineers on source‑system understanding and pipeline design.
• Partner with BI Developers and analysts to support semantic models, reporting needs, and performance requirements.
• Maintain strong documentation across data models and transformation logic.
• Contribute to enterprise data standards, governance practices, and architectural improvements.
• Participate actively in Agile/Scrum processes to drive continuous improvement.
• Champion data literacy across business teams globally.

Benefits

• medical, dental, and vision insurance
• retirement savings plans with company match contributions
• paid vacation and sick time
• wellness resources
• life insurance
• professional development opportunities

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed