{"id":4052846,"url":"https://alion.io/job/unitedhealth-group-associate-data-engineering-databricks","title":"Associate Data Engineering - Databricks","company":{"id":1043512,"name":"UnitedHealth Group","domain":"unitedhealthgroup.com","url":"https://alion.io/company/unitedhealthgrp","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Radancy","truth_index":{"grade":"B","score":75,"open_postings":162,"ghost_share":0,"stale_share":1,"repost_share":0,"time_to_fill_p50_days":null,"computed_at":"2026-11-11T05:49:22Z"}},"role":"Data Science","role_family":"Data Science","seniority":null,"employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Bengaluru, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"Airflow","optional":false},{"name":"AutoGen","optional":false},{"name":"Azure","optional":false},{"name":"CI/CD","optional":false},{"name":"CrewAI","optional":false},{"name":"Databricks","optional":false},{"name":"Embeddings","optional":false},{"name":"ETL/ELT","optional":false},{"name":"Git","optional":false},{"name":"LangChain","optional":false},{"name":"Machine Learning","optional":false},{"name":"OpenAI","optional":false},{"name":"Prompt Engineering","optional":false},{"name":"pySpark","optional":false},{"name":"Python","optional":false},{"name":"RAG","optional":false},{"name":"Rest API","optional":false},{"name":"Semantic Kernel","optional":false},{"name":"Semantic Search","optional":false},{"name":"Snowflake","optional":false},{"name":"Spark","optional":false}],"status":"live","first_seen_at":"2026-11-11T02:45:57Z","employer_posted_date":"2026-11-10","last_verified_at":"2026-11-11T07:20:41Z","board_verified":true,"closed_at":null,"days_open":0,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":0},"description":"Optum is a global organization that delivers care, aided by technology to help millions of people live healthier lives. The work you do with our team will directly improve health outcomes by connecting people with the care, pharmacy benefits, data and resources they need to feel their best. Here, you will find a culture guided by inclusion, talented peers, comprehensive benefits and career development opportunities. Come make an impact on the communities we serve as you help us advance health optimization on a global scale. Join us to start Caring. Connecting. Growing together.\nPrimary Responsibilities:\nDesign, develop, and maintain scalable data pipelines using Databricks (Spark / PySpark)\nOrchestrate and monitor workflows using Apache Airflow for batch, streaming, and incremental processing\nBuild and optimize ELT pipelines in Snowflake, ensuring performance, reliability, and cost efficiency\nDevelop production-quality Python code for data processing, transformations, integrations, and AI/ML workloads\nDesign, build, and host APIs, AI services, and data products using modern Python frameworks\nDeploy and manage APIs, ML models, and AI services using Azure-native services (Azure Functions, App Services, API Management, Azure AI Services)\nDesign and implement AI/ML and Generative AI solutions, including model integration, prompt engineering, RAG (Retrieval-Augmented Generation), and intelligent workflow automation\nBuild and manage vector databases, embeddings pipelines, semantic search capabilities, and knowledge retrieval frameworks\nDevelop and operationalize ML pipelines, feature engineering workflows, model monitoring, and MLOps practices\nLeverage LLMs and Agentic AI frameworks to automate data onboarding, data quality validation, metadata management, and business processes\nApply Azure cloud best practices for security, scalability, monitoring, resiliency, governance, and cost optimization\nImplement data quality checks, lineage tracking, observability, model evaluation, and AI governance controls\nCollaborate with Data Science, Analytics, Product, and Platform teams to build AI-powered products and intelligent data solutions\n\nComply with all applicable Company policies, procedures, and business directives, changes including those relating to work location, team assignments, work schedules, and flexible work arrangements\nRequired Qualifications:\nGraduate degree or equivalent experience\nSolid hands-on experience with Databricks (Spark / PySpark) in production environments\nExperience building and hosting REST APIs, AI services, and microservices using Python frameworks\nExperience with Azure AI Services, Azure OpenAI, Azure Machine Learning, or equivalent AI platforms\nExperience working with Large Language Models (LLMs), Generative AI, RAG architectures, vector databases, embeddings, and prompt engineering\nExperience implementing AI governance, model evaluation, privacy, security, and responsible AI practices\nExperience with CI/CD pipelines, Git-based version control, Infrastructure as Code, and deployment automation\nSolid working experience with Snowflake, including data modeling, optimization, and performance tuning\nSolid experience with Microsoft Azure, including cloud-native architecture and best practices\nKnowledge of Agentic AI frameworks (e.g., Semantic Kernel, LangChain, AutoGen, CrewAI, or similar) and intelligent workflow orchestration\nAt UnitedHealth Group, our mission is to help people live healthier lives and make the health system work better for everyone. We believe everyone-of every race, gender, sexuality, age, location and income-deserves the opportunity to live their healthiest life. Today, however, there are still far too many barriers to good health which are disproportionately experienced by people of color, historically marginalized groups and those with lower incomes. 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