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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Senior Data Engineer - **Company:** Optum, Inc - **Location:** Eden Prairie, MN, United States (Remote available) - **Experience:** Expert - **Salary:** $91,700.0 - $163,700.0 - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Cloud Computing, Cloud Engineering, Databases, Data as a Services, Information Engineering, Data Governance, Data Integration, Extract Transform Load (ETL), Data Security, Data Structures, Data Stores, Data Warehousing, Identity and Access Management, Machine Learning, Meta-Data Management, Performance Tuning, SQL Databases, Enterprise Data Management, Data Storage Technologies, Cloud Platform System, Data Ingestion, Retrieval-Augmented Generation, Generative AI, Data Lakes, AI Platforms, Data Lineage, Data Management, Data Pipelines - **Published:** September 20, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=56ce877fa5577eab ## About the Role * Bachelor's degree * 5+ years of experience in database architecture, data engineering, data modeling, data warehousing, ETL/ELT development, or cloud data platform engineering * 5+ years of experience writing SQL and developing data integration or data provisioning solutions * 5+ years of experience with data security, governance, quality, privacy, access management, and compliance practices * 2+ years of experience with one or more cloud platforms and their data services, * Experience coaching, mentoring, or guiding other employees * Ability to assess customer needs and translate business and technical concepts into practical solutions * Ability to solve moderately complex problems and conduct moderately complex analyses with minimal guidance * Ability to work independently on complex, less-structured assignments * Strong communication skills, including the ability to explain difficult technical issues to technical and non-technical audiences * All Telecommuters will be required to adhere to UnitedHealth Group's Telecommuter Policy. ## Description * Design, implement, and maintain enterprise database, data warehouse, data lake, lakehouse, and cloud data architectures * Develop scalable solutions using Platform-as-a-Service and cloud technologies, with a focus on data stores and associated ecosystems * Design data models, schemas, data structures, and integration patterns to support operational, analytical, and AI workloads * Develop and optimize SQL, data markup scripts, ETL/ELT pipelines, data ingestion processes, and data provisioning solutions * Establish and enforce data quality, data governance, metadata management, security, privacy, and compliance standards * Provide database and cloud platform sizing, configuration, capacity planning, performance tuning, and optimization guidance * Conduct needs assessments and analyze current business practices, processes, and procedures to identify opportunities for improving data accessibility and usage * Evaluate future business opportunities for leveraging data storage, retrieval, analytics, machine learning, and artificial intelligence capabilities * Design and support data platforms that enable reporting, advanced analytics, predictive modeling, machine learning, and generative AI applications * Develop AI-ready data foundations, including feature data, vector storage, embeddings, retrieval-augmented generation, model-serving data, and real-time or batch data pipelines * Partner with data scientists, AI engineers, application developers, and business teams to operationalize machine learning and AI solutions * Help establish responsible AI practices, including data lineage, model monitoring, explain ability, access controls, risk management, and appropriate use of sensitive data * Support the development of analytics and applications that build on enterprise data platforms * Assess non-standard technical requests and recommend practical, scalable, and cost-effective solutions * Analyze the architectural impact of software, hardware, cloud, and data acquisition vendor strategies * Manage relationships with software and hardware vendors and participate in product evaluations, technical reviews, and roadmap discussions * Provide technical guidance, explanations, and recommendations to stakeholders on complex data and AI architecture issues * Select, develop, and evaluate personnel to ensure the efficient operation of the function * Coach team members, provide feedback, share knowledge, and serve as a resource for less-experienced employees * Establish standards, patterns, documentation, and reusable practices for data engineering, cloud architecture, and AI platform development * Participate in architecture reviews, solution design, risk assessments, implementation planning, and production support activities You'll be rewarded and recognized for your performance in an environment that will challenge you and give you clear directions on what it takes to succeed in your role as well as provide development for other roles you may be interested in. ## 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