• Own the planning, estimation, and delivery of data engineering tasks and projects, partnering with project management to track progress, milestones, and risks. • Design and implement scalable data pipeline solutions by analyzing customer data, identifying patterns, and performing data profiling to reverse engineer schemas and APIs. • Build, optimize, and maintain high-performance data pipelines, delivery networks, and bi-directional data integrations between customers and partners. • Ensure data reliability and quality through robust development of automated unit, integration, and regression tests. • Troubleshoot complex data and integration issues, providing escalated technical support and driving root cause resolution. • Collaborate cross-functionally to deliver integration solutions, and provide technical guidance, training, and documentation to internal teams and stakeholders. • Monitor data pipeline health, proactively identify performance or reliability issues, and implement improvements to ensure system stability. • Contribute to best practices in data engineering, including code quality, testing standards, and scalable architecture.

• Design, build, and maintain scalable and reliable data pipelines and data processing systems • Develop and optimize ETL/ELT processes for batch and real-time data ingestion • Ingest and process data from internal systems, APIs, third-party platforms, and streaming sources • Design and maintain data models, data lakes, and data warehouse structures • Write clean, efficient, and reusable code for large-scale data processing • Collaborate with product managers, data teams, and engineering teams to understand business needs and translate them into data solutions • Ensure data quality, integrity, and availability across systems • Monitor, troubleshoot, and resolve production issues related to data pipelines and workflows • Contribute to improving code quality, system reliability, and best engineering practices • Actively participate in Agile ceremonies (standups, sprint planning, retrospectives)

This role is responsible for the collection, retrieval, and analysis of data on patients with cancer and certain benign tumors. Responsible for follow-up information and data entry maintaining current knowledge of and disseminating updates from the Commission on Cancer standards. The cancer registry department serves as primary contact providing guidance of activities aimed at achieving and maintaining cancer program accreditations. This includes interpretation and education of new standards, assessment of compliance, identification of opportunities for improvement, and facilitation efforts to achieve and maintain compliance. Initiates and/or coordinates clinical data collection and submits reports using statistical techniques. Maintains a sense of pride and ownership for the program. Maintains confidentiality of all interactions. Schedule: - Full-time | 64 hours every two weeks | Remote - Days | 8-hour shifts | 7:30am – 4pm - Occasional requirements to be onsite Pay and Benefits: - Starting pay begins at $25.20 per hour; exact wage determined by years of related experience - Pay range: $25.20 - $37.81 per hour - Tuition reimbursement and college grant programs available - Full-time benefits: Medical, dental, PTO, retirement, employee discounts and more! Qualifications: - Associate degree from an accredited school of Health Information Technology or Cancer Registry Management or bachelor's degree from an accredited school of Health Information Technology required. - 1 year of experience in Cancer Registry required - 2 years of experience in health care required - Certification options: - Oncology Data Specialist (ODS-C) Certification required, can be obtained within 2 years of hire or - Oncology Data Specialist (ODS-C) Certification and Registered Health Information Technician (RHIT) or - Oncology Data Specialist (ODS-C) Certification and Registered Health Information Administrator (RHIA) or - 3 years Current Certified Tumor Registrar (CTR), 3-years’ experience in a hospital-based registry preferred - EPIC and CRStar experience preferred CentraCare has made a commitment to diversity in its workforce. All individuals including, but not limited to, individuals with disabilities, are encouraged to apply. CentraCare is an EEO/AA employer.

• Collaborate & Strategize: Partner closely with business stakeholders to understand their challenges and design end-to-end architecture that solves complex business problems. • Build & Maintain Data Models: Design, develop, and own robust, efficient, and scalable data models in Snowflake and Iceberg using dbt and advanced SQL. • Orchestrate & Automate: Build and manage reliable data pipelines and CI/CD workflows using tools like Airflow, Python, and Terraform to ensure data is fresh, trustworthy, and infrastructure is version-controlled. • Champion Data Quality: Implement rigorous testing, documentation, and data governance practices to maintain a single source of truth. • Enable Analytics & Workflows: Act as the Product Owner and Tech Lead for your data domains, taking responsibility for the end-to-end data product delivery– from raw ingestion to data models enabling analytics and data apps in tools like Tableau and Retool. • Innovate with AI: Help us build our next-generation data infrastructure by integrating AI capabilities (like Snowflake Cortex AI) to democratize analytics and empower the business. • Architect Observability: Implement monitoring and alerting frameworks (e.g., dbt packages or Monte Carlo monitors) to proactively catch "silent" data failures before stakeholders do.