• Lead the design, architecture, and delivery of scalable, Azure-based data platforms • Drive the strategy and execution of scalable, secure, and high-performing data solutions • Oversee data architecture, modeling, and engineering teams • Partner with executive leadership to prioritize data initiatives • Lead the design and implementation of enterprise data architecture • Define and enforce data modeling standards to support scalable analytics and reporting • Oversee the development and maintenance of robust ETL/ELT pipelines integrating data from multiple sources • Ensure data accuracy, consistency, and availability across platforms • Collaborate with Analytics, BI, Finance, Clinical, Operations, and Commercial teams to understand data needs

Role Description The EP Device Data Abstraction Specialist delivers quality solutions to hospital partners across the country. They approach each hospital engagement as an opportunity to apply their clinical expertise with precision to advance patient outcomes and research. Join our team of Data Abstraction Specialists! Roles and Responsibilities: - Apply specialized, clinical knowledge of hospital partners: categorize, code, summarize, interpret and calculate registry/case information from nuanced, patient medical records. - Ensure quality submission of all data in specified registries or measure data repositories, maintaining a high accuracy threshold. - Prioritize, organize, and meet tight deadlines for multiple concurrent tasks and team requests; use tact and judgment to manage expectations, flag obstacles, and propose solutions in a timely manner. - Navigate new technical systems: electronic medical records (EMR) and registry/case entry tools; use team resources to troubleshoot technical issues with systems and applications with a focus on solutions. - Contribute to team best practices, data dictionaries, abstraction guidelines, and other business rule documents; identify process improvement opportunities to help streamline tasks and processes. - Keep up to date on mandated regulatory/publicly reported data requirements as specified by federal, state, payer, and other agencies. - Any other additional responsibilities as assigned. Qualifications - Direct abstraction experience in the EP Device Implant registry through the ACC/NCDR within the last year. - Exposure to multiple patient medical record systems (EMRs) and clinical databases. - Intermediate proficiency with MS Office (Microsoft Excel). - Strong analytical and critical thinking skills to approach problems in a systematic method. - Demonstrates high standards for accuracy and attention to detail. - Demonstrates technical savvy and strong desire to learn new systems and technology. - Thrives working independently and takes ownership of projects/patient records. - Consistently and clearly communicates, adjusting style and tone as needed to effectively collaborate with hospital partners, peers, team leads and others. - Demonstrates strong self-organizational and time management skills to concurrently manage multiple accounts, adjusting as needed to shifting timelines and priorities. - Ability to adapt to changes in timelines, requirements, and project assignments. - Maintains a high degree of responsibility in keeping PHI secure and confidential. - All applicants require legal authorization to work in the United States now or in the future without sponsorship. Benefits - Inclusive culture and flexible work environment. - Learning and development opportunities. - Competitive pay that rewards high performance. - Robust benefits that support health and financial wellness. - Supportive community of people who help each other do meaningful work, learn, grow, and have fun. - Target wage range for this role is $26.00 - $31.00 per hour. - Part-time team members enjoy a fully remote work environment with a flexible schedule. Commitment to Diversity, Equity, Inclusion and Belonging At Q-Centrix (An MRO Company), we hire people who love learning, value innovation, and believe in our purpose of safer, consistent, quality health care for all. We applaud qualified applicants who are accountable and committed to producing quality work. As an Equal Opportunity Employer, we support and value diversity, dignity, and respect in our work environment, and are committed to creating an inclusive environment in which everyone can thrive. We employ people based on the needs of the business and the job, and their individual professional qualifications. Here’s what does not impact our employment decisions: race, religious creed, religion, color, sex, sexual orientation, pregnancy, parental status, genetic information, gender, gender identity, gender expression, age, national origin, ancestry, citizenship, protected veteran or disability status, health, marital, civil union or domestic partnership status, or any status or characteristic protected by the laws or regulations in locations where we operate. If you are an individual with a qualified disability and you need an accommodation during the interview process, please reach out to your recruiter.

Role Description Werde Teil unserer Crew! Du willst nicht nur coden, sondern echte Softwarelösungen entwickeln? Wir entwickeln Software- und AI-Lösungen für Kunden in der Metropolregion Nürnberg. Dich erwartet ein moderner Tech-Stack, der kontinuierlich weiterentwickelt wird, sowie abwechslungsreiche Projekte mit unterschiedlichen technologischen Herausforderungen. Unsere crossfunktionalen Teams arbeiten agil und eigenverantwortlich und bringen Ideen direkt in die Umsetzung. Deine Aufgaben: - Du entwickelst Datenarchitekturen, Datenpipelines und Integrationslösungen. - Du arbeitest mit großen Datenmengen und sorgst für Datenqualität und Verfügbarkeit. - Du modellierst Daten und entwickelst ETL/ELT-Prozesse. - Du verbindest Datenquellen und schaffst die Grundlage für datengetriebene Entscheidungen. - Du berätst Kunden bei der Umsetzung moderner Datenplattformen. Qualifications - Mehrjährige Erfahrung in Data Engineering, Datenarchitektur oder Analytics. - Sehr gute Kenntnisse in SQL und Datenbanken. - Erfahrung mit ETL/ELT, Datenpipelines und idealerweise Cloud-Datenplattformen. - Kenntnisse in Python, Java oder ähnlichen Technologien. - Du kannst komplexe Daten verständlich machen und denkst in skalierbaren Lösungen. - Fließende Deutschkenntnisse sowie gute Englischkenntnisse. Benefits - Selbstorganisation & Verantwortung: Du steuerst deine Arbeit eigenständig, übernimmst Verantwortung für Entscheidungen und gestaltest Vorgehen sowie Lösungen aktiv mit. - Fair Pay (für Alle!): Ein transparentes Gehaltsmodell ohne individuelle Verhandlungen, ergänzt durch Sonderzahlungen und betriebliche Altersvorsorge. - Flexible Arbeitsweise: Du entscheidest, wann und wo du arbeitest! (Viel Spaß auf Workation!) - Multispace Office: Kaffee aus der Siebträgermaschine? Air Fryer, Popcornmaschine, modernen Arbeitsplätze und ein Wohnzimmer mit Sofas? Bekommst du! (Du liebst Pfotenabdrücke auf dem Teppich? Bürohunde erlaubt!) - Mobilität nach Bedarf vom Deutschlandticket bis zum Dienstwagen. Außerdem steht dir unser ID.Buzz zur Verfügung! - Weiterentwicklung: Du bekommst Zeit und Budget für Weiterbildung und kannst Themen über dein Projekt hinaus voranbringen. - Eigene Hardware & Geräte: Du wählst deine bevorzugte Hardware. Sowohl Firmenhandy als auch Laptop kannst du auch privat nutzen.

• Design, develop, and maintain end-to-end data pipelines using Databricks (Spark, PySpark, SQL) to ingest, transform, and curate structured and semi-structured data from authoritative DoD source systems. • Engineer and optimize data models, Delta tables, and curated datasets to support financial reporting, PPBE workflows, auditability, and mission analytics within Advana and downstream Foundry use cases. • Develop, maintain, and deploy Foundry pipelines, transforms, and data products, enabling traceability, lineage, and repeatable analytics workflows for DoD stakeholders. • Implement and manage CI/CD and version-controlled data engineering workflows using Git-based repositories and automated deployment patterns aligned with DoD security and ATO requirements. • Build and deploy cloud-native solutions in secure AWS and Azure environments, supporting IL4/IL5 architectures as applicable, and leveraging containerization where approved. • Partner with functional SMEs, financial analysts, platform engineers, and governance teams to ensure data pipelines conform to DoD financial data standards, business rules, and controls. • Implement robust data quality, reconciliation, validation, and monitoring capabilities to support financial accuracy, audit readiness, and confidence in reported metrics. • Support data integration, modernization, and migration efforts, including onboarding legacy financial systems and transitioning workloads to Databricks and Foundry within Advana. • Troubleshoot and resolve pipeline, performance, and data integrity issues in production environments, ensuring high availability and reliability in mission-critical systems. • Document data flows, engineering designs, and operational procedures to support compliance, knowledge transfer, and platform accreditation. • Stay current on emerging data engineering, analytics platform, and DevSecOps best practices relevant to DoD enterprise data environments.