Senior Data Engineer at Quva

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 MNWhat the Senior Data Engineer Does Each Day:Designs builds and maintains MDM entities and hierarchies within the Profisee platformDevelops and manages data matching survivorship and stewardship workflows to ensure accuracy and consistency across systemsCollaborates with business data owners to define master data domains data quality rules and governance policiesIntegrates Profisee MDM with enterprise data sources APIs and analytics environmentsImplements monitoring auditing and performance optimization for Profisee jobs and servicesProvides technical leadership and support for data stewards and business users of the MDM platformManages complex data projects from inception through production ensuring alignment quality and successful deliveryDesigns 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 monitoringOptimizes ETL workflows for scalability reliability and performancePartners with analysts and data scientists to ensure data models meet analytical and operational needsBuilds and manages APIs and data services that enable secure and efficient data exchange across systemsIntegrates with third-party APIs for data ingestion enrichment or distributionDevelops automation solutions for routine data ingestion and synchronization tasksOffers flexibility to assist with occasional time-sensitive analytical needs outside standard hoursBuilds and maintains high-quality Power BI assetsTranslates business requirements into effective data models visualizations and governed BI solutionsManages Power BI administration including workspaces licensing user access and data gateway configurationsMaintains BI performance metadata documentation and supports user onboarding and self-service analyticsOur Most Successful Senior Data Engineer:Has excellent problem-solving and analytical skillsHas strong communication and collaboration abilities across technical and non-technical teamsIs a self-starter who thrives in a fast-paced evolving environmentIs committed to continuous learning and process improvementMinimum Requirements for this Role:Bachelors degree in Computer Science Information Systems or a related field (or equivalent experience)5 years of professional experience in data engineering BI or analyticsAdvanced SQL and Python skills and strong experience with ETL toolsHands-on experience with Power BI data modeling DAX and administrationStrong understanding of data warehousing concepts dimensional modeling and cloud data platformsFamiliarity with master data management platforms and concepts such as entity matching survivorship rules and data stewardshipFamiliarity 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 automationKnowledge of data governance security and compliance best practices18 years of ageAble to successfully complete a drug and background checkMust be currently authorized to work in the United States on a full-time basis; Quva is not able to sponsor applicants for work visasBenefits of Working at Quva:Set full-time consistent work scheduleComprehensive health and wellness benefits including medical dental and vision401k retirement program with company match17 paid days off plus 8 paid holidays per yearOccasional weekend and overtime opportunities with advance noticeNational industry-leading high growth company with future career advancement opportunitiesThe 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 conditionsRange: $117433 - $135975 AnnuallyThis role is also eligible for an annual incentive bonus subject to program terms and guidelinesAbout 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 Pharmas multiple production facilities and industry-first dedicated remote distribution capabilities provide ready-to-administer sterile injectable medicines critical to patient care. Quva BrightStreampartners 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. Quvas 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. Quvas 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.Required Experience:Senior IC Key Skills Apache Hive,S3,Hadoop,Redshift,Spark,AWS,Apache Pig,NoSQL,Big Data,Data Warehouse,Kafka,Scala Employment Type : Full-Time Experience: years Vacancy: 1