> Markdown version of [/jobs/ext/3571563-data-engineer-with-ai-ml](https://www.wearedevelopers.com/jobs/ext/3571563-data-engineer-with-ai-ml). 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). --- # Data Engineer with AI/ML - **Company:** Optum, Inc - **Location:** Washington, DC, United States (Remote available) - **Salary:** $72,800.0 - $130,000.0 - **Contract:** Permanent contract - **Skills:** Agile Methodology, Artificial Intelligence, Airflow, Amazon Web Services, Microsoft Azure, Big Data, Cloud Computing, Continuous Integration, Information Engineering, Extract Transform Load (ETL), Data Warehousing, DevOps, Github, Apache Hadoop, Python (Programming Language), Machine Learning, OpenAI, SQL Databases, Transact-SQL, Workflow Management Systems, LangChain, Large Language Models, Snowflake, Prompt Engineering, Apache Spark, Generative AI, Backend, Agentic-AI, Containerization, Pyspark, HuggingFace, Health Level Seven International, Google Gemini, GPT, Data Pipelines, Automation Anywhere, Docker, Databricks - **Published:** October 3, 2026 - **Apply:** https://arc.dev/remote-jobs/j/redirect/pou66jfxao ## About the Role We are seeking a highly skilled and motivated Data Engineering Analyst with AI/ML expertise to drive the AI 10.0 initiative. This role blends deep expertise in data engineering, automation, and cloud-native development with hands-on experience in advanced AI/ML techniques, Large Language Models (LLMs), prompt engineering, and agentic frameworks. You will architect, build, and optimize intelligent data workflows, develop and fine-tune models, and collaborate across teams to deliver high-impact solutions for healthcare and insurance datasets. You'll enjoy the flexibility to work remotely * from anywhere within the U.S. as you take on some tough challenges. For all hires in the Minneapolis or Washington, D.C. area, you will be required to work in the office for a minimum of four days per week., * Bachelor's degree in CS or IT related field * 5+ years of hands-on experience in data engineering and backend automation * 5+ years of experience in Python, PySpark (Databricks), T-SQL, SQL, and big data technologies (Hadoop, Spark) * 5+ years of experience with ETL tools, workflow orchestration (Airflow), and data warehousing (Snowflake or similar) * 1+ years of experience in any one of the cloud technologies like Azure (ML Studio), AWS, GCP * 1+ years of experience with CI/CD pipelines, GitHub Actions, and containerization tools (Docker) * 1+ years of experience with Agile methodologies and DevOps practices * 6+ months of experience with Generative AI frameworks/architectures (LangChain, HuggingFace, OpenAI APIs) * 6+ months of experience with AI/ML concepts including Generative AI, LLMs (GPT, Gemini, LLaMA), and prompt engineering Preferred Qualifications * Understanding of Responsible AI principles and engineering best practices * Familiarity with healthcare or health insurance domain data and compliance standards * Excellent problem-solving skills and ability to handle ambiguity * All Telecommuters will be required to adhere to UnitedHealth Group's Telecommuter Policy. ## Description * Design and develop AI-driven solutions using LLMs to automate claims adjudication processes * Build and optimize prompt engineering strategies for LLM-based applications * Implement and integrate agentic frameworks to enable autonomous decision-making workflows * Architect and deploy scalable data pipelines and AI workflows leveraging Python and related technologies * Collaborate with cross-functional teams to ensure compliance with healthcare data standards and Responsible AI principles * Contribute to model development, evaluation, and fine-tuning for production environments * Mentor junior engineers and foster knowledge-sharing within the team * Work independently to deliver innovative solutions aligned with business objectives * Design, develop, and deploy AI-powered solutions to address complex business challenges with emphasis on responsible use of AI 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. ## Related Videos - [Develop AI-powered Applications with OpenAI Embeddings and Azure Search](https://www.wearedevelopers.com/videos/828-develop-ai-powered-applications-with-openai-embeddings-and-azure-search) - [Livecoding with AI](https://www.wearedevelopers.com/videos/1201-livecoding-with-ai) - [Docker Compose: Rediscovered](https://www.wearedevelopers.com/videos/1978-docker-compose-rediscovered) - [Coffee with Developers - Maria Apazoglou](https://www.wearedevelopers.com/videos/1209-coffee-with-developers-maria-apazoglou) - [Blueprints for Success: Steering a Global Data & AI Architecture](https://www.wearedevelopers.com/videos/1577-blueprints-for-success-steering-a-global-data-ai-architecture) - [ Evaluating AI models for code comprehension](https://www.wearedevelopers.com/videos/1462-evaluating-ai-models-for-code-comprehension) ## Related Articles - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development) - [Got AI ideas but no money? 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