{"id":172872,"url":"https://alion.io/job/amgen-sr-mgr-data-engineer","title":"Sr Mgr Data Engineer","company":{"id":4775,"name":"Amgen","domain":"amgen.com","url":"https://alion.io/company/amgen","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"B","score":79,"open_postings":437,"ghost_share":0.002,"stale_share":0.831,"repost_share":0.007,"time_to_fill_p50_days":27,"computed_at":"2026-10-17T05:46:00Z"}},"role":"Data Science","role_family":"Data Science","seniority":"senior","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":26000,"max_usd":53000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":59},"experience_years_min":12,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agile","optional":false},{"name":"AWS","optional":false},{"name":"Databricks","optional":false},{"name":"HashiCorp Vault","optional":false},{"name":"Kubernetes","optional":false},{"name":"NLP","optional":false},{"name":"Python","optional":false},{"name":"R","optional":false},{"name":"SAS","optional":false},{"name":"SQL","optional":false},{"name":"Vault","optional":false},{"name":"CI/CD","optional":true},{"name":"Git","optional":true},{"name":"Jenkins","optional":true},{"name":"Machine Learning","optional":true},{"name":"PostgreSQL","optional":true},{"name":"Tableau","optional":true}],"status":"live","first_seen_at":"2026-06-30T00:00:00Z","employer_posted_date":"2026-06-30","last_verified_at":"2026-10-17T08:58:40Z","board_verified":true,"closed_at":null,"days_open":109,"trust":{"level":"stale","repost_count":0,"flags":["stale"],"days_open":109},"description":"Career Category\nInformation SystemsJob Description\nJoin Amgen’s Mission of Serving Patients\nAt Amgen, if you feel like you’re part of something bigger, it’s because you are. Our shared mission-to serve patients living with serious illnesses-drives all that we do.\nSince 1980, we’ve helped pioneer the world of biotech in our fight against the world’s toughest diseases. With our focus on four therapeutic areas -Oncology, Inflammation, General Medicine, and Rare Disease- we reach millions of patients each year. As a member of the Amgen team, you’ll help make a lasting impact on the lives of patients as we research, manufacture, and deliver innovative medicines to help people live longer, fuller happier lives.\nOur award-winning culture is collaborative, innovative, and science based. If you have a passion for challenges and the opportunities that lay within them, you’ll thrive as part of the Amgen team. Join us and transform the lives of patients while transforming your career.\nData Engineer\nWhat you will do\nAmgen India will be an integral part in driving growth & innovation, improving efficiency and creating enterprise value - supporting our mission “To Serve Patients”.\nThe Amgen India Digital Technology & Innovation Data Engineer for Clinical Data Hub will be responsible for end-to-end design, development and DevOps of data pipelines for clinical data domain across technology platform and stacks.\nThis role will leverage the latest technology to develop advanced data engineering pipeline and system solution to enable advanced data analytics for Amgen Clinical trial design and development. across various global clinical development business functions.\nAs the results, comprehensive clinical domain datasets and systems are up-to-date and ready for advanced clinical trial design and development insight generation analytics\nDesign, develop, and deploy data pipeline for clinical domain dataset\nAs an infrastructure programmer, continuously develop and support Data Scientist R-Platform and integration with various technology (Kubernetes Container, HashiCorp Vault, SAS Storage, and Data Science Work Bench)\nDesign and build various reusable program components using innovative technology (NLP, AI, Python, R, etc) to transform and harmonize clinical dataset for insight generation\nCollaborate with Data Architects, Business SME’s, and Data Scientists to capture the business requirement and translate into Agile product backlog\nServe as primary data engineer to manage and support AWS, Databricks, RStudio platform, and cloud AI based system production DevOps\nAlign to best practices for coding, testing, and designing reusable code/component\nExplore new tools and technologies that will help streamline data pipeline and add new durable capability for clinical development\nParticipate in sprint planning meetings and provide estimations on technical implementation\nCollaborate and communicate effectively with the product teams\nWhat we expect of you\nProactively identify data issues and risks across pipelines and datasets, perform root-cause analysis, and propose and implement effective, scalable solutions to ensure data quality and reliability.\nOwn and lead projects from the data engineering perspective, driving end-to-end delivery including data design, development, optimization, stakeholder coordination, and operational support.\nBasic Qualifications:\nMaster’s / Bachelor's degree with 12 - 16 years of relevant experience\nMust Have Skills:\nAdvanced skills in SQL, Python, and R languages programing; AWS cloud technology and databricks data lake technology stacks\nData modeling skills, and software development lifecycle knowledge and best practices\nLearning ability of new technology in the information field\nSkill of using DevOps CI/CD tools, such Git, Jenkins and front UI Visualization technology\nGood to Have Skills:\nWork experience in the biotechnology or pharmaceutical industry.\nProficient skills and knowledge on common AI/Machine Learning technologies.\nExperience using and adopting Scaled Agile Framework (SAFe)\nAbility to work effectively in a fast-paced, dynamic environment.\nExperience with data modeling for both relationship databases, hands-on experience with SQL (PostgreSQL and Hive SQL is preferred)\nExperience with UI Visualization technology (Dash, RSConnect, Tableau preferred)\nKnowledge and experience in clinical trial design and development process and technology landscape, familiar with clinical trial data standards and structures\nCertification:\nSAFe for Teams certification (preferred)\nSoft Skills:\nStrong communications skills in writing, speaking, presenting and time management skills\nStrong transformation and change management experience.\nExceptional collaboration and communication skills.\nHigh degree of initiative and self-motivation.\nAbility to manage multiple priorities successfully.\nTeam-oriented with a focus on achieving team goals.\nStrong presentation and public speaking skills.\nWhat you can expect of us\nAs we work to develop treatments that take care of others, we also work to care for your professional and personal growth and well-being. From our competitive benefits to our collaborative culture, we’ll support your journey every step of the way.\nIn addition to the base salary, Amgen offers competitive and comprehensive Total Rewards Plans that are aligned with local industry standards.\nApply now\nfor a career that defies imagination\nObjects in your future are closer than they appear. Join us.\ncareers.amgen.com\nAs an organization dedicated to improving the quality of life for people around the world, Amgen fosters an inclusive environment of diverse, ethical, committed and highly accomplished people who respect each other and live the Amgen values to continue advancing science to serve patients. Together, we compete in the fight against serious disease.\nAmgen is an Equal Opportunity employer and will consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability status, or any other basis protected by applicable law.\nWe will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. 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