Senior Data Engineering Consultant

Optum is a global organization that delivers care, aided by technology to help millions of people live healthier lives. The work you do with our team will directly improve health outcomes by connecting people with the care, pharmacy benefits, data and resources they need to feel their best. Here, you will find a culture guided by inclusion, talented peers, comprehensive benefits and career development opportunities. Come make an impact on the communities we serve as you help us advance health optimization on a global scale. Join us to start Caring. Connecting. Growing together. Functions may include database architecture, engineering, design, optimization, security, and administration; as well as data modeling, big data development, Extract, Transform, and Load (ETL) development, storage engineering, data warehousing, data provisioning and other similar roles. Responsibilities may include Platform-as-a-Service and Cloud solution with a focus on data stores and associated eco systems. Duties may include management of design services, providing sizing and configuration assistance, ensuring strict data quality, and performing needs assessments. Analyzes current business practices, processes and procedures as well as identifying future business opportunities for leveraging data storage and retrieval system capabilities. Manages relationships with software and hardware vendors to understand the potential architectural impact of different vendor strategies and data acquisition. May design schemas, write SQL or other data markup scripting and helps to support development of Analytics and Applications that build on top of data. Selects, develops and evaluates personnel to ensure the efficient operation of the function. Generally work is self-directed and not prescribed.

Data Pipeline Development Build and maintain ETL/ELT pipelines using SQL Server, SSIS, Azure Data Factory, Snowflake, Airflow, and dbt Support and enhance legacy SSIS pipelines while contributing to modernization efforts Ensure timely, accurate, and secure data movement across systems Implement and maintain robust logging, error handling, and auditing frameworks Participate in peer reviews and support reusable, framework-driven engineering practices Analytics & Semantic Layer (Legacy SSAS Support) Provide maintenance and enhancement support for SSAS Tabular and/or Multidimensional models Troubleshoot processing issues, performance bottlenecks, and security role configurations Ensure SSAS models continue to meet reporting and analytics needs during modernization transitions Reporting & Data Delivery Support reporting via SSRS, Power BI, and Tableau Validate data accuracy and ensure outputs meet stakeholder needs Collaborate with analytics teams to deliver actionable insights and promote self-service reporting Assist with legacy SSRS report maintenance and performance tuning as needed Performance Tuning & Optimization Optimize performance across SQL Server, Snowflake, SSIS, ADF, dbt, Airflow, and reporting platforms Tune T SQL queries, stored procedures, indexing strategies, and data models Identify and remediate bottlenecks across pipelines, semantic layers, and reporting workloads Partner with platform teams to improve reliability, scalability, and cost efficiency Data Modeling (Relational & Dimensional) Design and maintain relational and dimensional data models supporting analytics, reporting, and operational workflows Apply best practices for star schema design, SCD handling, and semantic consistency Document data structures, lineage, and business logic for cross-team clarity Documentation & Support Document pipeline logic, dependencies, and operational procedures Respond to incidents and service requests through ServiceNow Follow change control, governance, and compliance standards (HIPAA, ITIL) Collaboration & Continuous Learning Participate in sprint ceremonies and design reviews Communicate clearly across technical and non-technical