Note: The job is a remote job and is open to candidates in USA. Optum delivers technology-enabled care, pharmacy benefits, data, and resources to help people live healthier lives. The Senior Manager of Data Engineering will lead scalable data engineering solutions, including ETL pipelines, cloud data platforms, data repositories, and integration patterns, while guiding a team and partnering with business, analytics, data science, and AI/ML stakeholders.
Responsibilities
- Define and execute the data engineering roadmap, aligning platform, architecture, and data delivery priorities with business objectives while ensuring measurable outcomes and long-term scalability
- Lead, mentor, and develop a team of data engineers and technical leads, fostering a culture of accountability, innovation, continuous improvement, and professional growth
- Direct the design, development, and support of scalable data pipelines, ETL/ELT processes, cloud-based data platforms, and data warehousing solutions to deliver trusted, high-quality data for analytics and operational reporting
- Establish and enforce data governance standards, data quality controls, platform reliability practices, and operational processes to ensure secure, compliant, and dependable data assets across the organization
- Collaborate with business stakeholders, analytics teams, architects, and product leaders to prioritize initiatives, resolve cross-functional dependencies, and translate business requirements into scalable data and analytics solutions
- Partner with data science and AI/ML teams to establish reusable, governed data foundations that support model development, retrieval-augmented generation, intelligent automation, and production AI/ML workloads
Skills
- Bachelor's degree in Computer Science, Information Systems, Data Engineering, Analytics, or a related field
- 5+ years of experience in data engineering, analytics, or data platform development
- 5+ years of experience with SQL/Snowflake, Python, data modeling, ETL/ELT development, data integration, performance optimization, and data pipeline orchestration
- 3+ years of demonstrated experience designing, building, and managing large-scale cloud-based data platforms using technologies such as Snowflake, Azure Data Factory (ADF), Azure Data Lake, Databricks, and enterprise data warehousing solutions
- 3+ years of experience implementing modern software development practices, including source control and CI/CD using GitHub, automated testing, code reviews, release management, and infrastructure-as-code methodologies within data engineering environments
- 3+ years of experience in a people leadership or management role
- Advanced degree
- Experience supporting analytics, reporting, and AI/ML workloads, including the data pipelines, feature engineering, model-ready datasets, and operational practices needed to move solutions from development into production
- Familiarity with modern AI/ML solution patterns and technologies such as vector databases, retrieval-augmented generation (RAG), large language models (LLMs), agentic frameworks, MLOps, and common Python ML libraries
- Proven ability to lead high-performing technical teams, drive strategic initiatives, manage competing priorities, and partner effectively with business, analytics, architecture, and technology stakeholders to deliver scalable data solutions and measurable business outcomes
Benefits
- Flexibility to telecommute from anywhere within the U.S.
- Development for other roles you may be interested in
- Incentive and recognition programs (all benefits are subject to eligibility requirements)
- Equity stock purchase (all benefits are subject to eligibility requirements)
- 401k contribution (all benefits are subject to eligibility requirements)
- A comprehensive benefits package (all benefits are subject to eligibility requirements)
Company Overview
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