Analytics Engineer creating data products that meet various business needs for the fintech company Stone. Responsible for data pipelines, monitoring, and ensuring data quality.
About the role
- Analytics Engineer developing scalable data solutions for healthcare innovation at Daniels Health. Driving analytics capabilities to improve patient safety and environmental impact.
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.
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
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