{"id":3567698,"url":"https://alion.io/job/ascendion-dataetl-engineer-30","title":"Data/ETL Engineer","company":{"id":46972,"name":"Ascendion","domain":"ascendion.com","url":"https://alion.io/company/ascendion","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"staffing","is_intermediary":false,"listed_via":null,"ats_vendor":"Eightfold","truth_index":{"grade":"B","score":79,"open_postings":30,"ghost_share":0,"stale_share":0.833,"repost_share":0,"time_to_fill_p50_days":30,"computed_at":"2026-11-02T06:13:15Z"}},"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":["Bengaluru, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":21000,"max_usd":46000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":75},"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agile","optional":false},{"name":"Azure","optional":false},{"name":"CI/CD","optional":false},{"name":"ETL/ELT","optional":false},{"name":"Python","optional":false},{"name":"Snowflake","optional":false},{"name":"Spark","optional":false},{"name":"SQL","optional":false},{"name":"AWS","optional":true},{"name":"HIPAA","optional":true},{"name":"Power BI","optional":true},{"name":"Tableau","optional":true}],"status":"live","first_seen_at":"2026-10-29T07:45:29Z","employer_posted_date":"2026-10-31","last_verified_at":"2026-11-02T16:44:31Z","board_verified":true,"closed_at":null,"days_open":4,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":4},"description":"Data Engineer - Snowflake, QNXT\nExperience: 5-8 Years\nLocation: All Ascendion Location\nEF ID: 50343296\nRole Summary\nWe are seeking a skilled Data Engineer with expertise in Snowflake, Azure, and QNXT to design, build, and optimize scalable healthcare data platforms and analytics solutions. The ideal candidate will have strong experience developing end-to-end data pipelines, integrating healthcare data from QNXT, and enabling reporting, analytics, and operational insights through modern cloud technologies.\nKey Responsibilities\nDesign, develop, and maintain scalable data pipelines using Azure and Snowflake.\nIngest, transform, and integrate healthcare and claims data from QNXT and related source systems.\nBuild and optimize ETL/ELT workflows for large-scale data processing.\nDevelop and maintain Snowflake data models, schemas, and data marts.\nEnsure data quality, governance, security, and compliance across the data lifecycle.\nCollaborate with business, analytics, and reporting teams to deliver trusted datasets and insights.\nSupport performance tuning, monitoring, and troubleshooting of data platforms and pipelines.\nImplement data validation, reconciliation, and automation processes.\nRequired Skills\n5+ years of Data Engineering experience.\nStrong hands-on 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