{"id":3951578,"url":"https://alion.io/job/unitedhealth-group-software-engineer-data-engineer","title":"Software Engineer - Data Engineer","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":147,"ghost_share":0,"stale_share":1,"repost_share":0,"time_to_fill_p50_days":null,"computed_at":"2026-11-09T06:03:00Z"}},"role":"Data Science","role_family":"Data Science","seniority":"middle","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Hyderabad, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":3,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Azure","optional":false},{"name":"CI/CD","optional":false},{"name":"Databricks","optional":false},{"name":"ETL/ELT","optional":false},{"name":"GitHub Actions","optional":false},{"name":"GraphQL","optional":false},{"name":"LLM","optional":false},{"name":"Machine Learning","optional":false},{"name":"pySpark","optional":false},{"name":"Python","optional":false},{"name":"Redis","optional":false},{"name":"Rest API","optional":false},{"name":"Snowflake","optional":false},{"name":"Spark","optional":false},{"name":"SQL","optional":false},{"name":"Terraform","optional":false},{"name":"Unstructured.io","optional":false}],"status":"live","first_seen_at":"2026-11-09T04:04:04Z","employer_posted_date":"2026-11-08","last_verified_at":"2026-11-09T13:29:23Z","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 startCaring. Connecting. Growing together.\nPrimary Responsibilities:\nDesign and develop ETL/ELT solutions on Azure Databricks, LakeBase and Spark\nDevelop, implement, and deploy large scale data pipelines empowering machine learning algorithms, insights generation, business intelligence dashboards, reporting and new data products\nDesign, build, optimize, and manage modern large-scale data pipelines ETL/ELT processing to support data integration for analytics, machine learning features and predictive modelling\nConsume data from a variety of sources (RDBMS, APIs, FTPs and other cloud storage) & formats (Excel, CSV, XML, JSON, Parquet, Unstructured)\nWrite advanced / complex SQL with performance tuning and optimization\nBuild AI based solutions for solving business needs, process automations and improving operational efficiency\nIdentify ways to improve data reliability, data integrity, system efficiency and quality\nParticipate in architectural evolution of data engineering patterns, frameworks, systems, and platforms including defining best practices and standards for managing data collections and integration\nMentor other data engineers and provide technical direction by teaching other data engineers how to leverage cloud data platforms\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:\n3+ years of experience in data engineering, data integration, data modeling, data architecture, and ETL/ELT processes to provide quality data and analytics solutions\n3+ years of experience in Python\n3+ years of experience with API design and lifecycle management (GraphQL, REST, etc.)\n2+ years of hands-on experience with Redis-backed state management and event-driven processing\n2 + years of experience in Apache Spark (PySpark/Spark SQL)\n2+ years of experience building and deploying Cloud based solutions using - Azure Databricks with UC, Snowflake, Functions, Service Bus\n2+ years of experience in SQL with designing complex data schemas and query performance optimization\nExperience building LLM integrations for workflow automation/business needs\nExperience with DevOps automation with Terraform\nExperience with CI/CD process and tools - GitHub Actions, GIT, Artifactory, Sonar\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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