Role Description We are seeking a SAS Viya Engineer/Developer to design, build, and manage data pipelines, analytics workflows, and data engineering processes using SAS Viya. This role focuses on transforming and governing data, implementing DataOps practices, and optimizing legacy workloads while enabling high-performance analytics through distributed processing. Key Responsibilities: - Design and manage data pipelines and analytics workflows using SAS Viya - Build, schedule, and execute complex ETL/ELT processes for large-scale data - Prepare, transform, and govern data across the SAS data lifecycle - Implement DataOps practices including automated data scanning, profiling, and quality checks - Utilize CAS distributed computing for parallel data processing and performance optimization - Manage data access, lineage, and cataloging to support data governance - Integrate SAS Viya with external sources (SQL databases, Spark, and big data platforms) - Migrate and optimize legacy SAS jobs into the SAS Viya lifecycle - Collaborate with developers and stakeholders to improve data workflows and performance Qualifications - 5+ years of experience in data engineering, analytics engineering, or SAS platform development - Hands-on experience working within SAS Viya environments - Experience supporting enterprise or mission-critical data platforms - Strong experience with SAS Viya and CAS distributed computing architecture - Experience designing ETL/ELT pipelines for big data environments - Understanding of DataOps principles and automation for data quality and governance - Experience with data lineage, access controls, and data cataloging - Integration experience with SQL databases and Apache Spark - Experience optimizing and migrating legacy SAS workloads - Must be US Citizen with ability to obtain Public Trust Clearance Requirements - Preferred Certification: SAS Certified Specialist: Administration of SAS Viya Benefits - Competitive compensation with opportunities for bonuses - Employer-paid health care - Training and development funds - 401k match

• Design and build modern data-centric software applications to support clinical and operational processes across all parts of the healthcare system • Leverage cloud computing, big data, data science, and modern software development methodologies and frameworks • Build data pipelines and transformations, data enrichment processes, provisioning layers, and user interfaces • Mentor and assist less experienced Data Engineers • Participate in research and development of new technologies

• Lead and manage daily and long-term operations of the Data Engineering team. • Oversee enterprise data pipelines, ETL/ELT processes, analytical platforms, and governance workflows. • Ensure adherence to enterprise data architecture, integration standards, governance practices, and security requirements. • Prioritize work across competing institutional demands while balancing service reliability and operational risk. • Guide the development of scalable data models, semantic layers, and metadata documents. • Coordinate incident response, data quality remediation, and continuous improvement initiatives. • Mentor staff in professional development, engineering best practices, and service delivery excellence. • Collaborate across IT and institutional leadership to support enterprise data initiatives.

• More than 12+ years of IT experience • Microsoft Fabric (OneLake, Lakehouse, Data Factory, Power BI),Databricks (data engineering, SQL, notebooks, app/backend integration patterns)Enterprise data warehouses and lakehouse platforms (Snowflake, Synapse, BigQuery – experience with one or more) • Deep knowledge of data modeling, data warehousing, and lakehouse patterns • Hands‑on experience with at least one modern data platform: • Microsoft Fabric and/or Databricks strongly preferred • Experience integrating data platforms with applications using APIs, services, or event‑driven patterns • Solid understanding of cloud architecture concepts (security, networking, scalability, cost management) • Strong communication skills with the ability to engage both technical and business stakeholders • Experience working in client‑facing or consulting environments