{"id":1720449,"url":"https://alion.io/job/unitedhealth-group-senior-data-engineering-power-bi-sql","title":"Senior Data Engineering-Power BI, SQL","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":95,"ghost_share":0,"stale_share":1,"repost_share":0,"time_to_fill_p50_days":null,"computed_at":"2026-10-22T06:10:10Z"}},"role":"Data Science","role_family":"Data Science","seniority":"senior","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":{"min_usd":19500,"max_usd":40000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":71},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Claude","optional":false},{"name":"Cognos","optional":false},{"name":"Copilot","optional":false},{"name":"Databricks","optional":false},{"name":"ETL/ELT","optional":false},{"name":"OpenAI Codex","optional":false},{"name":"Power BI","optional":false},{"name":"Snowflake","optional":false},{"name":"SQL","optional":false},{"name":"CI/CD","optional":true},{"name":"Git","optional":true},{"name":"pySpark","optional":true},{"name":"Python","optional":true},{"name":"Spark","optional":true}],"status":"live","first_seen_at":"2026-09-28T00:00:00Z","employer_posted_date":"2026-09-28","last_verified_at":"2026-10-23T02:33:10Z","board_verified":true,"closed_at":null,"days_open":25,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":25},"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.\nDesign, build, and maintain scalable data engineering solutions that support analytics, reporting, and modernization initiatives across enterprise platforms. Develop and optimize ETL / ELT pipelines, reusable datasets, and transformation logic using technologies such as Databricks, Snowflake, Oracle, and SQL. Support modernization of legacy reporting solutions by helping translate business logic from platforms such as Cognos into modern cloud-based data and reporting solutions. Partner with reporting and analytics teams to prepare curated, reporting-ready data assets for Power BI and related dashboarding solutions. Build and enhance AI-enabled analytics and reporting capabilities, including support for AI-driven summaries, natural-language data exploration, and AI-assisted dashboard or insight generation. Contribute to AI-focused solution development using platforms such as Databricks Genie, AI/BI capabilities, and related tools that improve productivity, insight generation, and analytics accessibility. Support development of semantic and metrics layer capabilities to improve consistency, governance, and reuse of business logic across analytics and reporting assets. Prepare and maintain technical artifacts such as metadata, data dictionaries, schema documentation, and supporting materials needed for governed data and AI solutions. Assist with environment-based delivery and operational support across development, test, and production environments, including deployment coordination, validation, and platform readiness activities. Collaborate with engineers, product owners, and business stakeholders to translate reporting and analytics needs into scalable, production-aligned data and AI solutions.\nPrimary Responsibility:\nComply with the terms and conditions of the employment contract, company policies and procedures, and any and all directives (such as, but not limited to, transfer and/or re-assignment to different work locations, change in teams and/or work shifts, policies in regards to flexibility of work benefits and/or work environment, alternative work arrangements, and other decisions that may arise due to the changing business environment). The Company may adopt, vary or rescind these policies and directives in its absolute discretion and without any limitation (implied or otherwise) on its ability to do so\nRequired Qualifications:\nPower BI experience\nHands-on Databricks and Snowflake experience\nProduction delivery and support experience\nExperience with the use of AI tools (Copilot, Claude, Codex)\nAdvanced SQL and solid data-troubleshooting capabilities\nProven solid data-validation skills\nDemonstrated end-to-end ownership\nProven solid production troubleshooting\nProven clear communication with business partners, engineers, and product owners\nPreferred Qualifications:\nCognos experience\nDatabricks Genie or AI/BI experience\nPython and Pyspark experience\nExperience building and supporting ETL/ELT pipelines\nUnity Catalog, metadata, lineage, and governed-data experience\nCI/CD, Git, and deployment automation experience\nExperience supporting financial, billing, payment, delinquency, or membership reporting\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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