{"id":2717108,"url":"https://alion.io/job/amgen-data-engineer-4","title":"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":436,"ghost_share":0.002,"stale_share":0.833,"repost_share":0.007,"time_to_fill_p50_days":27,"computed_at":"2026-10-16T05:45:00Z"}},"role":"Data Science","role_family":"Data Science","seniority":null,"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":21000,"max_usd":57000,"period":"year","method":"role_country_seniority_unknown","sample_n":141},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AWS","optional":false},{"name":"Copilot","optional":false},{"name":"ETL/ELT","optional":false},{"name":"OpenAI Codex","optional":false},{"name":"Prompt Engineering","optional":false},{"name":"RAG","optional":false},{"name":"Tokenization","optional":false},{"name":"Amazon SageMaker","optional":true},{"name":"Databricks","optional":true},{"name":"Machine Learning","optional":true},{"name":"pySpark","optional":true},{"name":"Python","optional":true},{"name":"Spark","optional":true},{"name":"SQL","optional":true}],"status":"live","first_seen_at":"2026-10-16T14:04:37Z","employer_posted_date":"2026-10-16","last_verified_at":"2026-10-16T19:08:41Z","board_verified":true,"closed_at":null,"days_open":0,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":0},"description":"Career Category\nEngineeringJob Description\nLevel 4 Data Engineer:\nWhat you will do\nLet’s do this. Let’s change the world. In this vital role you will be responsible for designing, building, maintaining, analyzing, and interpreting data to provide actionable insights that drive business decisions. This role involves working with large datasets, developing reports, supporting and performing data governance initiatives and, visualizing data to ensure data is accessible, reliable, and efficiently managed. The ideal candidate has deep technical skills, experience with database technologies, and a deep understanding of data architecture and ETL processes.\nRoles & Responsibilities:\nDesign, develop, and maintain data solutions for data generation, collection, and processing \nBe a crucial team member that assists in design and development of the data pipeline \nBuild data pipelines and ensure data quality by implementing ETL processes to migrate and deploy data across systems \nContribute to the design, development, and implementation of data pipelines, ETL/ELT processes, and data integration solutions \nHands-on experience designing, developing, and implementing AI solutions using Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), vector search, tokenization, prompt engineering, and AI-assisted development tools such as OpenAI Codex, GitHub Copilot, or equivalent platform. \nTake ownership of data pipeline projects from inception to deployment, manage scope, timelines, and risks \nCollaborate with cross-functional teams to understand data requirements and design solutions that meet business needs \nDevelop and maintain data models, data dictionaries, and other documentation to ensure data accuracy and consistency \nImplement data security and privacy measures to protect sensitive data \nLeverage cloud platforms (AWS preferred) to build scalable and efficient data solutions \nCollaborate and communicate effectively with product teams \nCollaborate with Data Architects, Business SMEs, and Data Scientists to design and develop end-to-end data pipelines to meet fast-paced business needs across geographic regions \nIdentify and resolve complex data-related challenges \nAdhere to best practices for coding, testing, and designing reusable code/component \nExplore new tools and technologies that will help to improve ETL platform performance \nParticipate in sprint planning meetings and provide estimations on technical implementation \nWhat we expect of you\nWe are all different, yet we all use our unique contributions to serve patients.\nBasic Qualifications:\nMaster’s/ Bachelor's degree and 5 - 9 years of Computer Science, IT or related field experience \nPreferred Qualifications:\nMust-Have Skills:\nHands-on experience with big data technologies and platforms, such as Databricks, Apache Spark (PySpark, SparkSQL), workflow orchestration, performance tuning on big data processing \nProficiency in data analysis tools (eg. 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