Role Description Innovative Renal Care is building a new in‑house claims management system to support dialysis operations, payer relationships, and value‑based care initiatives. We’re looking for a Senior Data Engineer with strong experience in healthcare claims data, ideally dialysis, to help design, maintain, and optimize the data infrastructure that powers this platform. This is a hands‑on role focused on SQL Server, Azure, SSIS, Azure Data Factory, and end‑to‑end ETL development. You’ll support both new system build‑out and ongoing maintenance of existing pipelines, ensuring clean, reliable, high‑quality claims data flows across the organization. Responsibilities - Build, maintain, and optimize SQL Server–based data pipelines, stored procedures, and ETL processes - Support the development of IRC’s new in‑house claims management system, including ingestion, transformation, and validation of dialysis claims data - Maintain and enhance existing data infrastructure, ensuring reliability, performance, and scalability - Develop and manage ETL workflows using SSIS and Azure Data Factory - Work within Azure environments to support data movement, orchestration, and automation - Troubleshoot data issues, pipeline failures, and performance bottlenecks across SQL Server and Azure - Collaborate with analysts, IT, and cross‑functional partners to ensure accurate and timely claims data availability - Contribute to data governance, quality controls, and HIPAA‑aligned security practices - Participate in evaluating and adopting new Microsoft technologies; exposure to Microsoft Fabric is a plus Qualifications - Bachelor’s degree in Computer Science, Engineering, Information Systems, or related field - 5+ years of experience in data engineering, ETL development, or database engineering - Strong hands‑on experience with SQL Server, including stored procedures, performance tuning, and complex queries - Proficiency with SSIS for ETL development and maintenance - Experience with Azure data services; Azure Data Factory strongly preferred - Background working with healthcare claims data, ideally dialysis or ESRD - Ability to support both new system development and ongoing infrastructure maintenance - Comfortable working independently in a fast‑paced environment with shifting priorities - Experience with Microsoft Fabric, Databricks, or modern Azure analytics tools Benefits - Comprehensive benefits program including a 401(k) match - Healthcare coverage - A broad range of other benefits that compare favorably within our industry and marketplace Company Description We are one of the largest dialysis service providers in the U.S., partnering with local physicians to deliver high-quality care to patients with ESRD and other kidney conditions. Our mission is to be the trusted experts and preferred partners for patients, physicians, and healthcare providers by delivering best-in-class care, service, and solutions. - Our Values: I CARE - Integrity & Innovation – Earn trust by keeping promises and embracing new solutions. - Compassion – Treat patients, families, and colleagues with respect and empathy. - Accountability – Take ownership and recognize the contributions of others. - Results-Driven – Strive for excellence and exceed expectations. - Everyone Counts – Foster diversity, equity, teamwork, and collaboration. - Why Join IRC? - Career Growth – Be part of a values-driven team making a meaningful impact. - Competitive Compensation – Salaries continually benchmarked against market and trends. - Enhanced PTO – Your most recent dialysis experience counts toward PTO accrual. - Team Culture – Thrive in a supportive environment that values innovation, accountability, and compassion.

Role Description Discover new possibilities and contribute actively to meaningful discussions. You will perform independently and become a subject matter expert while contributing solutions to work-related challenges. This opportunity will allow you to engage deeply with Microsoft Purview, fostering growth and expertise in this area. We look forward to welcoming your enthusiasm and fresh ideas to create impactful outcomes together. - Utilize research methods to uncover anthropological, ethnographical, and sociological insights. - Develop and enhance brand tracking systems to monitor key performance indicators effectively. - Convert complex data into clear and relevant dashboards to support decision-making. - Apply analytical methodologies, mathematical modeling, and optimization techniques to create intellectual property. - Collaborate with colleagues to refine approaches and improve data-driven solutions. Qualifications - Advanced proficiency in Microsoft Purview. - Advanced proficiency in Collibra Data Governance. - A minimum of 1 year of experience in relevant related skills. - Bachelor's Degree in relevant field of studies. Requirements - Advanced proficiency in Microsoft Power Business Intelligence (BI). - Advanced proficiency in Platform Engineering. - Advanced proficiency in Python (Programming Language). - Intermediate proficiency in Data Analysis. - Intermediate proficiency in Statistical Modeling. Company Description Accenture is a leading global professional services company that helps the world’s leading businesses, governments and other organizations build their digital core, optimize their operations, accelerate revenue growth and enhance citizen services—creating tangible value at speed and scale. We are a talent- and innovation-led company with approximately 791,000 people serving clients in more than 120 countries. Technology is at the core of change today, and we are one of the world’s leaders in helping drive that change, with strong ecosystem relationships. We combine our strength in technology and leadership in cloud, data and AI with unmatched industry experience, functional expertise and global delivery capability. Our broad range of services, solutions and assets across Strategy & Consulting, Technology, Operations, Industry X and Song, together with our culture of shared success and commitment to creating 360° value, enable us to help our clients reinvent and build trusted, lasting relationships. We measure our success by the 360° value we create for our clients, each other, our shareholders, partners and communities. Visit us at www.accenture.com Declaración de igualdad de oportunidades en el empleo: Creemos que nadie debe ser discriminado por sus diferencias. Todas las decisiones de empleo se tomarán sin importar la edad, raza, credo, color, religión, sexo, origen nacional, ascendencia, discapacidad, condición de veterano militar, orientación sexual, identidad o expresión de género, información genética, estado civil, ciudadanía ni ningún otro criterio protegido por la legislación aplicable. Nuestra rica diversidad nos hace más innovadores, competitivos y creativos, lo que nos permite servir mejor a nuestros clientes y comunidades.

• Design, build, and maintain backend services and REST APIs that serve data from various SQL subsystems and other data sources • Develop well-tested, production-grade Python services with clean API contracts, proper authentication, versioning, and error handling • Work closely with the Analytics Engineering team to expose modeled data (billing, settlement, finance) through APIs that downstream consumers can rely on • Build internal tooling and services that enable the broader organization to self-serve their data needs without writing SQL • Participate in code reviews, system design discussions, and engineering best practices across the Infrastructure org • Contribute to service observability: logging, metrics, alerting, and on-call practices for the services you own • Maintain and improve existing data pipelines that move data from source systems into Snowflake (Airflow, Airbyte) • Contribute to the dbt project alongside the Analytics Engineering team — model improvements, test coverage, and data quality • Support data governance practices including access controls, lineage documentation, and data quality standards

• Platform Strategy & Leadership • Technical Direction: Define and champion the architectural roadmap and best practices for our end-to-end data pipelines, ensuring scalability, reliability, and security across the platform. • Team Mentorship & Project Velocity: Act as a primary technical mentor, guiding a team of engineers, conducting code reviews, and aggressively driving the project timeline to ensure rapid delivery of data products. • Stakeholder Collaboration: Partner with Data Scientists, Analysts, and business stakeholders to translate complex requirements into robust, production-ready data solutions. • Collaboration with Data Scientists and ML Engineers:  Data Accessibility, Support for Model Development, Data Quality Assurance • Data Pipeline Development & Management • Ingestion & Transformation: Design, build, and optimize high-volume data ingestion and transformation jobs using tools like dbt Core, AWS Glue, or Flexter, ensuring data quality and integrity. • Workflow Orchestration: Develop and maintain sophisticated data pipelines using orchestrators such as Dagster or Talend, focusing on modularity and reusability. • Streaming & Real-time Integration: Implement and manage real-time data flows utilizing Confluent platforms or native AWS streaming services (e.g., Kinesis) for immediate data availability. • Data Security and Privacy: Data Anonymization, Compliance with Regulations • Be well versed with DataOps and DevOps fundamentals - Assist and drive the Data Ecosystem Management & Monitoring - Open Table Formats & Management: Implement and maintain the Iceberg open table format, utilizing tools like Upsolver (Talend Open Lakehouse) for efficient schema evolution and data management. - Compute Engine Optimization: Optimize query performance and cost efficiency across our primary compute engines: Snowflake, Amazon Redshift, and AWS Athena. Observability & Monitoring: Integrate comprehensive monitoring and observability into all pipelines using Splunk to ensure high availability, rapidly identify bottlenecks, and troubleshoot production issues