Daniels Health

Analytics Engineer

Daniels Health

full-time

Posted on:

Location Type: Hybrid

Location: ChicagoIllinoisUnited States

Visit company website

Explore more

AI Apply
Apply

Salary

💰 $85,395 - $105,195 per year

About the role

  • 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.

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.
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
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools
SQLPythonPySparkdbtdata modelingETLELTdata validationdata quality frameworksmedallion architecture
Soft Skills
collaborationdocumentationdata literacycontinuous improvement