Senior Data Engineer

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Our Senior Data Engineer plays a vital role within our organization. Once you complete our training, your responsibilities will include designing, building, and managing the data infrastructure powering our master data management and analytics goals. This position will also blend hands‑on technical expertise in MDM and ETL development, API integration, and Power BI data modeling with administrative oversight of our business intelligence (BI) environment.

At Quva, you will be an essential part of a mission‑driven organization dedicated to expanding critical access to quality, affordable medication and data insights while promoting a culture of innovation, collaboration, and continuous improvement. Your attention to detail and adherence to precise procedures will guarantee that our medications meet the highest standards of safety, efficacy, and quality, providing patients with the best possible care and outcomes.

Turn your passion for precision and your commitment to quality into a meaningful impact on healthcare across the US.

This position is Hybrid in Minneapolis, MN

• Designs, builds, and maintains MDM entities and hierarchies within the Profisee platform
• Develops and manages data matching, survivorship, and stewardship workflows to ensure accuracy and consistency across systems
• Collaborates with business data owners to define master data domains, data quality rules, and governance policies
• Integrates Profisee MDM with enterprise data sources, APIs, and analytics environments
• Implements monitoring, auditing, and performance optimization for Profisee jobs and services
• Provides technical leadership and support for data stewards and business users of the MDM platform
• Manages complex data projects from inception through production, ensuring alignment, quality, and successful delivery
• Designs, develops, and maintains robust ETL pipelines to ingest, transform, and deliver data from diverse sources (databases, APIs, flat files, SaaS platforms)
• Implements best practices for data quality, lineage, validation, and monitoring
• Optimizes ETL workflows for scalability, reliability, and performance
• Partners with analysts and data scientists to ensure data models meet analytical and operational needs
• Builds and manages APIs and data services that enable secure and efficient data exchange across systems
• Integrates with third‑party APIs for data ingestion, enrichment, or distribution
• Develops automation solutions for routine data ingestion and synchronization tasks
• Offers flexibility to assist with occasional time‑sensitive analytical needs outside standard hours
• Builds and maintains high‑quality Power BI assets
• Translates business requirements into effective data models, visualizations, and governed BI solutions
• Manages Power BI administration, including work spaces, licensing, user access, and data gateway configurations
• Maintains BI performance, metadata, documentation, and supports user onboarding and self‑service analytics

• Has excellent problem‑solving and analytical skills
• Has strong communication and collaboration abilities across technical and non‑technical teams
• Is a self‑starter who thrives in a fast‑paced, evolving environment
• Is committed to continuous learning and process improvement

• Bachelor’s degree in Computer Science, Information Systems, or a related field (or equivalent experience)
• 5+ years of professional experience in data engineering, BI, or analytics
• Advanced SQL and Python skills and strong experience with ETL tools
• Hands‑on experience with Power BI data modeling, DAX, and administration
• Strong understanding of data warehousing concepts, dimensional modeling, and cloud data platforms
• Familiarity with master data management platforms and concepts such as entity matching, survivorship rules, and data stewardship
• Familiarity with Dev Ops practices for data pipelines (CI/CD, version control, testing)
• Proven experience with API design and integration (REST, Graph
  
  QL, JSON, OAuth)
• Exposure to other scripting languages for data processing and automation
• Kno…