{"id":1401773,"url":"https://alion.io/job/bristol-myers-squibb-data-engineer-i-transparency-data-operations","title":"Data Engineer I - Transparency Data Operations","company":{"id":7994,"name":"Bristol Myers Squibb","domain":"bms.com","url":"https://alion.io/company/bms","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"A","score":100,"open_postings":69,"ghost_share":0,"stale_share":0.159,"repost_share":0.043,"time_to_fill_p50_days":18,"computed_at":"2026-10-15T05:46:00Z"}},"role":"Data Science","role_family":"Data Science","seniority":"junior","employment_type":"full_time","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":13500,"max_usd":30000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":12},"experience_years_min":1,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agile","optional":false},{"name":"Amazon EC2","optional":false},{"name":"Amazon Redshift","optional":false},{"name":"Amazon S3","optional":false},{"name":"AWS","optional":false},{"name":"AWS Lambda","optional":false},{"name":"CI/CD","optional":false},{"name":"Databricks","optional":false},{"name":"ETL/ELT","optional":false},{"name":"Git","optional":false},{"name":"GitHub","optional":false},{"name":"IAM","optional":false},{"name":"PostgreSQL","optional":false},{"name":"Power BI","optional":false},{"name":"pySpark","optional":false},{"name":"Python","optional":false},{"name":"Scrum","optional":false},{"name":"SQL","optional":false},{"name":"Spark","optional":true}],"status":"live","first_seen_at":"2026-09-28T16:00:19Z","employer_posted_date":"2026-09-28","last_verified_at":"2026-10-15T14:01:30Z","board_verified":true,"closed_at":null,"days_open":17,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":17},"description":"At Bristol Myers Squibb, our employees often ask, “Who are you working for?”-a question that fuels collaboration, accountability, and urgency in our work. Our purpose-driven culture inspires us to discover, develop, and deliver innovative medicines to prevail over serious diseases. We offer uniquely interesting and meaningful work, opportunities for growth, and a supportive environment that values inclusion, wellbeing, flexibility, and comprehensive benefits. This is work that transforms the lives of patients, and the careers of those who do it.\nAt Bristol Myers Squibb, transparency isn't just a regulatory obligation - it's a commitment to the patients, healthcare professionals, and communities we serve. As a Data Engineer on our Transparency Data Operations team in Hyderabad, you'll be at the heart of that commitment, building and running the data pipelines that ensure every reportable interaction with healthcare providers and organizations worldwide is captured, validated, and disclosed accurately and on time. You'll work hands-on with SQL, Python, Databricks, and AWS across a truly global data landscape - moving data reliably, catching issues before they become problems, and automating what's manual today - while collaborating with partners in Legal, Compliance, and Technology to turn evolving regulations into robust, scalable solutions. If you're curious, detail-oriented, and excited to grow in a role where reliability and continuous improvement genuinely matter, we'd love to hear from you.\nPurpose of the role and the team\n· Support end-to-end Transparency Data Operations that enable accurate, complete, timely and compliant disclosure of Transfers of Value to HCPs, HCOs, PAGs and other reportable third parties.\n· Operate and enhance data ingestion, transformation, validation, reconciliation and delivery processes across integrated global source systems and manual data collections.\n· Ensure Transparency data is available and fit for downstream processing in MediSpend, analytics, certification, regulatory reporting and publication.\n· Partner with Global Transparency, Legal, Compliance, regional teams, source-system owners and technology teams to translate new laws, codes and reporting needs into scalable data solutions.\n· Monitor data quality, completeness, timeliness and operational controls; investigate exceptions and drive remediation with upstream and downstream stakeholders.\nSupport new-market deployments, source-system changes, platform modernization, data integrations and automation while maintaining business continuity, traceability and process rigor.\nCapabilities\n· Strong understanding of end-to-end data operations, including ingestion, ETL/ELT, validation, reconciliation, exception handling, monitoring and controlled delivery.\n· Translate reporting requirements into mappings, transformation rules, validation controls, technical specifications and test scenarios.\n· Hands-on analytical and troubleshooting capability using SQL and Python across complex datasets, databases, cloud platforms and pipelines.\n· Strong cross-functional collaboration, documentation, prioritization, communication and problem-solving skills.\n· Continuous-improvement mindset focused on automation, reusable solutions and stronger controls.\nTechnical Skills\n· Databases and Programming: SQL, PostgreSQL, Oracle, Python, PySpark\n· AWS Cloud: EC2, S3, IAM, Lambda, RDS, Redshift\n· Data Engineering: Databricks, ETL/ELT, Data Warehousing, Data Quality and Validation\n· Analytics and Development: Power BI, Data Visualization\nTools and Practices: Git/GitHub, CI/CD, Agile/Scrum\nExperience & Qualification requirements\n· Bachelor's degree in Computer Science, Information Technology, Engineering, Data/Analytics or a related field.\n· 1-4 years of experience in data engineering, data operations, software development, business intelligence or a related role.\n· Experience supporting ETL/ELT pipelines, databases, cloud data solutions and scheduled operational processes.\n· Experience with SQL, Python, source-to-target validation, reconciliation and automation.\n· Experience with AWS, Databricks, Oracle/PostgreSQL and Power BI is preferred.\n· Experience with production support, root-cause analysis, reruns, releases and change control.\n· Pharmaceutical, healthcare, compliance, Transparency Reporting or master-data experience is preferred.\nAbility to manage multiple priorities and support urgent production or reporting needs when required.\nWe hire for skills and capabilities, not just credentials - if this role excites you, but doesn’t perfectly match your resume, we encourage you to apply anyway.\nHow We Work\nWhere you work matters - because collaboration, innovation and patient impact happen in many settings. Our roles are structured across four work models: site-essential, site-by-design, field-based and remote-by-design. The model assigned to this role is based on its core responsibilities. Learn more at https://careers.bms.com/ways-of-working.\nSupporting People with Disabilities\nBMS is dedicated to ensuring that people with disabilities can excel through a transparent recruitment process, reasonable workplace accommodations/adjustments and ongoing support in their roles. Applicants can request a reasonable workplace accommodation/adjustment prior to accepting a job offer. If you require reasonable accommodations/adjustments in completing this application, or in any part of the recruitment process, direct your inquiries to . Visit careers.bms.com/eeo-accessibility to access our complete Equal Employment Opportunity statement.\nCandidate Rights\nBMS will consider qualified applicants with arrest and conviction records, pursuant to applicable laws in your area.\nFor roles based in Los Angeles County only: If you live in or expect to work from Los Angeles County if hired for this position, please visit this page for important additional information: https://careers.bms.com/california-residents/\nData Protection\nWe will never request payments, financial information, or social security numbers during our application or recruitment process. Learn more about protecting yourself at https://careers.bms.com/fraud-protection.\nAny data processed in connection with role applications will be treated in accordance with applicable data privacy policies and regulations.\nIf this posting is missing required information required by local law or incorrect, contact BMS at  with the Job Title and Requisition number. Do not send application-related inquiries to this email. 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