Note: The job is a remote job and is open to candidates in USA. Optum is a global organization that delivers care aided by technology to help millions of people live healthier lives. The Senior Data Engineer will architect and optimize enterprise-scale ETL processes and data pipelines, develop data models and Power BI dashboards, partner with business leaders, coordinate global delivery teams, and design responsible AI-powered solutions.
Responsibilities
- Architect and optimize complex ETL processes and data pipelines using Databricks (Spark, SQL, Python) or other enterprise-scale integration tools to ensure high-performance processing of large-scale datasets
- Evaluate emerging trends in ETL frameworks and AI to inform solution design and drive strategic innovation within the analytics platform
- Use enterprise-approved AI tools to automate data engineering workflows, streamline ETL maintenance, and drive continuous improvement in engineering velocity
- Implement advanced data modeling techniques, such as star schemas and incremental loads, to ensure data integrity and scalability across all ETL layers
- Build and maintain executive-level dashboards and semantic models in Power BI, ensuring seamless data flow from backend ETL processes to end-user visualizations
- Partner with product and business leaders to translate complex business requirements into robust, automated data integration solutions
- Lead technical coordination within a global delivery model, ensuring consistency and quality of ETL standards across onshore and offshore teams
- Design, develop, and deploy AI-powered solutions to address complex business challenges with emphasis on responsible use of AI
Skills
- Bachelor's degree or equivalent experience
- 7+ years of experience in analytics engineering, business intelligence, or data engineering roles delivering enterprise-scale analytics solutions
- 5+ years of Cloud experience (Azure, GCP, AWS, or OCI)
- 5+ years of experience in programming languages such as Python, Java, etc
- 4+ years of hands-on experience using Databricks (Spark, SQL, Python, notebooks) or other major ETL platforms to build and optimize large-scale data pipelines
- 1+ years of experience delivering AI-driven analytics or data solutions
- Healthcare industry experience with healthcare interoperability standards such as FHIR, HL7, or related healthcare data models
- Experience building cloud-native applications, APIs, or data products or supporting solutions using visualization tools like Power BI, Tableau or similar tools
- Experience working with Databricks Lakehouse architecture and distributed data processing platforms
- Experience with Power BI, Tableau or other visualization tools, including advanced DAX, Power Query, and semantic modeling
- Excellent communication, problem-solving, and leadership skills
- Demonstrated experience working in global delivery models with effective onshore-offshore collaboration
Benefits
- Flexibility to telecommute from anywhere within the U.S.
- Comprehensive benefits package
- Incentive and recognition programs
- Equity stock purchase
- 401k contribution
- Career development opportunities
Company Overview
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