> Markdown version of [/jobs/ext/3948544-sr-ai-ml-data-engineer-remote-or-office-based-in-mn-dc](https://www.wearedevelopers.com/jobs/ext/3948544-sr-ai-ml-data-engineer-remote-or-office-based-in-mn-dc). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Sr AI/ML Data Engineer Remote or Office-Based in MN/DC - **Company:** Unitedhealth Group Inc - **Location:** Washington, DC, United States (Remote available) - **Experience:** Expert - **Salary:** $120,100.0 - $214,500.0 - **Contract:** Permanent contract - **Skills:** Java (Programming Language), JavaScript (Programming Language), Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Data Analysis, Applications Architecture, Automation of Tests, Microsoft Azure, Cloud Computing, Continuous Integration, Information Engineering, Data Systems, Graph Database, Internet Security, Python (Programming Language), Metadata, Microsoft Office, Performance Tuning, Cloud Services, Standard Sql, Search Technologies, Software Engineering, SQL Databases, Data Streaming, TypeScript, Enterprise Data Management, Azure Service Bus, Feature Store, ReactJS, Retrieval-Augmented Generation, Large Language Models, Snowflake, Apache Spark, Spring-boot, Model Validation, Generative AI, Event Driven Architecture, Microsoft Fabric, Data Lakes, Pyspark, Deployment Automation, Apache Kafka, Data Management, Machine Learning Operations, Tools for Reporting, Video Streaming, Entity Resolution, Restful APIs, Databricks, Microservices - **Published:** October 27, 2026 - **Apply:** https://www.careerbuilder.com/job-details/sr-ai-ml-data-engineer-remote-or-office-based-in-mn-dc-washington-dc--6c41b0bf-a3e6-43e6-8326-c89676497edc ## About the Role Artificial Intelligence (AI), Healthcare, Internet Security, Data Analysis, Artificial Intelligence (AI), Leading Edge Technology, International Health, Software Engineering, Patient Safety, Cloud Computing, * Bachelor's degree or equivalent practical experience * 5+ years of experience building production-grade data platforms and pipelines using Python or Java, SQL, Spark/PySpark, and Databricks or equivalent technologies * 3+ years of experience designing batch, streaming, and event-driven data solutions using cloud platforms such as AWS, Azure, or GCP * 2+ years of experience delivering production Generative AI solutions, including RAG, retrieval, evaluation, monitoring, and AI/ML deployment enablement * 2+ years of experience with modern data engineering practices, including data quality and observability, metadata, lineage, and governance * Demonstrated ability to lead technical initiatives, mentor engineers, influence cross-functional teams, and translate ambiguous requirements into scalable solutions, * Experience with Databricks, Snowflake, Microsoft Fabric, Delta Lake, or similar cloud data platforms * Experience with Generative AI architectures, including RAG, vector search, and model evaluation frameworks * Experience with streaming technologies such as Kafka, Event Hubs, or Kinesis * Experience with MLOps capabilities including feature stores, model registries, and deployment automation * Experience with data quality and observability platforms * Familiarity with metadata-driven architectures, knowledge graphs, or entity resolution concepts * Experience in healthcare data, analytics, and PII/PHI-compliant solutions * All employees working remotely will be required to adhere to UnitedHealth Group's Telecommuter Policy. ## Description * Design, develop, and deploy AI/ML and Generative AI solutions using LLMs, RAG, agents, and modern AI frameworks * Build scalable full-stack applications using React, TypeScript, JavaScript, Java/Spring Boot, Python, REST APIs, and SQL * Develop intuitive user experiences, dashboards, reporting solutions, and AI-enabled workflows * Build and enhance self-service analytics, reporting, and data exploration capabilities * Develop applications supporting quality, patient safety, benchmarking, insights, action management, and workflow automation * Integrate applications with enterprise data platforms and cloud-native data ecosystems * Design and implement microservices, APIs, data models, and event-driven architectures * Apply engineering best practices including CI/CD, automated testing, observability, security, and performance optimization * Collaborate with product, analytics, business, and platform teams to deliver high-quality solutions * Provide technical leadership, mentor engineers, and contribute to architecture and technology decisions You'll be rewarded and recognized for your performance in an environment that will challenge you and give you clear direction on what it takes to succeed in your role as well as provide development for other roles you may be interested in.