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 blends 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
What The Senior Data Engineer Does Each Day
- 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 workspaces, licensing, user access, and data gateway configurations
- Maintains BI performance, metadata, documentation, and supports user onboarding and self-service analytics
Our Most Successful Senior Data Engineer
- 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
Minimum Requirements For This Role
- 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 DevOps practices for data pipelines (CI/CD, version control, testing)
- Proven experience with API design and integration (REST, GraphQL, JSON, OAuth)
- Exposure to other scripting languages for data processing and automation
- Knowledge of data governance, security, and compliance best practices
- 18+ years of age
- Able to successfully complete a drug and background check
- Must be currently authorized to work in the United States on a full-time basis; Quva is not able to sponsor applicants for work visas
Benefits Of Working At Quva
- Set, full-time, consistent work schedule
- Comprehensive health and wellness benefits including medical, dental and vision
- 401k retirement program with company match
- 17 paid days off plus 8 paid holidays per year
- Occasional weekend and overtime opportunities with advance notice
- National, industry-leading high growth company with future career advancement opportunities
- The base compensation for this role is estimated to be within the range described below. The compensation offered may vary depending on relevant factors such as experience, skills, training, education, certifications, geographic location, and market conditions
- Range: $117,433 - $135,975 Annually
- This role is also eligible for an annual incentive bonus, subject to program terms and guidelines
About Quva
Quva provides industry-leading health-system pharmacy services and solutions, including 503B sterile injectable outsourcing services and AI-based data software solutions that help power the business of pharmacy. Quva Pharma’s multiple production facilities and industry-first dedicated remote distribution capabilities provide ready-to-administer sterile injectable medicines critical to patient care. Quva BrightStream partners with health systems to aggregate, normalize, and analyze large amounts of complex data across their sites of care, and through proprietary machine learning, transforms data into actionable insights supporting revenue optimization, script capture, inventory management, drug shortage control, and more. Quva’s overall progressive and integrated platform helps health-systems transform pharmacy management to achieve greater value and deliver highest-quality patient care.
Quva is an equal opportunity employer and is committed to creating and maintaining a work environment that is free from all forms of discrimination and harassment. Quva's Equal Opportunity Policy prohibits harassment or discrimination due to age, ancestry, color, disability, gender, gender expression, gender identity, genetic information, marital status, medical condition, military or veteran status, national origin, race, religious creed, sex (including pregnancy, childbirth, breastfeeding, and any related medical conditions), sexual orientation, and any other characteristic or classification protected by applicable laws. All employment with Quva is “at will.”
