{"id":3439272,"url":"https://alion.io/job/thermo-fisher-scientific-data-engineer-3","title":"Data Engineer","company":{"id":7922,"name":"Thermo Fisher Scientific","domain":"thermofisher.com","url":"https://alion.io/company/thermo-fisher-scientific","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"B","score":81,"open_postings":303,"ghost_share":0,"stale_share":0.766,"repost_share":0.007,"time_to_fill_p50_days":31,"computed_at":"2026-10-31T05:58:55Z"}},"role":"Data Science","role_family":"Data Science","seniority":"junior","employment_type":"full_time","work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"board_field","remote_working_hours":null,"hiring_geo_confidence":"inferred","locations":["Pittsburgh, United States"],"countries":["US"],"hiring_countries":["US"],"hiring_countries_total":1,"salary":null,"salary_estimate":{"min_usd":71000,"max_usd":156000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":65},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agile","optional":false},{"name":"Airflow","optional":false},{"name":"Amazon S3","optional":false},{"name":"Apache Kafka","optional":false},{"name":"AWS","optional":false},{"name":"CI/CD","optional":false},{"name":"Databricks","optional":false},{"name":"Delta Lake","optional":false},{"name":"ETL/ELT","optional":false},{"name":"Git","optional":false},{"name":"IAM","optional":false},{"name":"Power BI","optional":false},{"name":"pySpark","optional":false},{"name":"Python","optional":false},{"name":"Scrum","optional":false},{"name":"Spark","optional":false},{"name":"SQL","optional":false}],"status":"closed","first_seen_at":"2026-10-23T21:01:45Z","employer_posted_date":null,"last_verified_at":"2026-10-31T04:54:45Z","board_verified":false,"closed_at":"2026-10-31T04:54:45Z","days_open":7,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":7},"description":"Work Schedule\nStandard Office Hours (40/wk)\n\nEnvironmental Conditions\nOffice\n\nJob Description\n\nAs part of the Thermo Fisher Scientific team, you'll discover meaningful work that makes a positive impact on a global scale. Join our colleagues in bringing our Mission to life every single day to enable our customers to make the world healthier, cleaner and safer. We provide our global teams with the resources needed to achieve individual career goals while helping to take science a step beyond by developing solutions for some of the world's toughest challenges, like protecting the environment, making sure our food is safe or helping find cures for cancer.\n\nThe Data Engineer will support the development, maintenance, and optimization of data solutions using the Databricks platform. This is an entry-level data engineering role designed for candidates with foundational experience in SQL, Python, cloud technologies, and modern data engineering concepts.\n\nThe engineer will work as part of an Agile development team and collaborate with experienced data engineers, analysts, and business partners to build reliable data pipelines, data models, and analytics-ready datasets.\n\nResponsibilities\nDevelop and maintain data pipelines and data transformations using Databricks, SQL, Python, and PySpark.\nAssist with the ingestion, transformation, and processing of structured and semi-structured data from multiple source systems.\nDevelop and maintain Databricks notebooks, pipelines, workflows, and jobs supporting data engineering and analytics use cases.\nBuild and maintain data tables and datasets using Delta Lake and lakehouse architecture principles.\nWrite, test, troubleshoot, and optimize SQL queries used for data processing, analysis, and reporting.\nSupport the development of ETL/ELT pipelines that move and transform data across source systems, cloud storage, Databricks, and downstream applications.\nWork within an Agile Scrum team to design, develop, unit test, debug, document, and maintain data solutions based on defined functional and technical requirements.\nCollaborate with senior engineers and architects to ensure solutions follow established architecture, development standards, security requirements, and engineering best practices.\nAssist with defining data models, data structures, transformation logic, and information flows.\nPerform data validation and troubleshooting to help ensure the quality, consistency, completeness, and accuracy of data products.\nMonitor data pipelines and Databricks workloads and assist with troubleshooting pipeline failures and data-related issues.\nParticipate in root-cause analysis and resolution of data and application issues with cross-functional teams.\nUse Git and established CI/CD practices to manage and deploy data engineering code and configurations.\nCreate and maintain technical documentation for data pipelines, transformations, data models, and other data products.\nCollaborate with business and technical teams supporting areas such as Finance, Supply Chain, and Operations to understand data requirements and deliver appropriate data solutions.\nSupport data solutions spanning ingestion, transformation, data modeling, analytics, and reporting.\nDevelop knowledge of data governance, data security, access controls, and data quality management practices.\nParticipate in production support activities on a rotating basis as needed.\nCan work remotely.\n\nMinimum Education Requirement\n\nBachelor's degree in Computer Science, Information Technology, Data Science, Engineering, Information Systems, or a related field of study.\n\nEquivalent education, technical training, certifications, internships, or relevant practical experience may also be considered.\n\nMinimum Experience Requirement\n\n0-2 years of experience in data engineering, software development, business intelligence, data analytics, data science, or a related technical field.\n\nRelevant internships, academic projects, certifications, or hands-on project experience may be considered toward the experience requirement.\n\nRequired Knowledge or Experience\nFoundational knowledge of Databricks or similar cloud-based data platforms.\nExperience or coursework using SQL for querying and transforming data.\nExperience or coursework using Python for data processing or software development.\nFamiliarity with Apache Spark or PySpark concepts.\nUnderstanding of ETL/ELT and data pipeline concepts.\nBasic understanding of relational databases and data modeling.\nFamiliarity with cloud computing concepts and services, preferably AWS.\nFamiliarity with Git source control and software development practices.\nUnderstanding of basic data quality concepts, including validation, completeness, consistency, and accuracy.\nStrong analytical and problem-solving skills.\nAbility to learn new technologies and work collaboratively within a technical team.\n\nPreferred Knowledge or Experience\n\nThe following experience is beneficial but not required:\nDatabricks notebooks, workflows, jobs, or Databricks SQL.\nDelta Lake and lakehouse architecture concepts.\nPySpark DataFrames and Spark SQL.\nDatabricks Unity Catalog and data governance concepts.\nAWS services such as S3, IAM, Glue, Athena, or related data services.\nApache Airflow or other workflow orchestration technologies.\nCI/CD concepts and automated deployment practices.\nData visualization tools such as Power BI.\nStreaming and event-driven technologies such as Apache Kafka.\nData warehouse and data lake concepts.\nData governance, metadata management, and access-control concepts.\nDatabricks or cloud-provider certifications.","description_format":"text","description_chars":5587,"description_truncated":false,"requirements":{"experience_years_min":null,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[{"name":"United States","iso":"US","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Diagnostic Tests & IVD","Clinical Trial Services (CRO)","CRO & CDMO Services","APIs & Drug Manufacturing"],"lifecycle":[{"event":"open","at":"2026-10-29T04:54:30Z"},{"event":"close","at":"2026-10-31T04:54:45Z"}],"visa":[{"country":"US","licensed_sponsor":true,"evidence":"H-1B filings in 12 months: 212 · green card filings: 57","filings_12m":212,"filings_prev_12m":240,"green_card_filings_12m":57,"median_offered_wage_usd":122797,"route":null,"cap_exempt":false,"checked_at":"2026-10-29T16:27:21+00:00","sources":["US Department of Labor: LCA disclosure data (H-1B, H-1B1, E-3)","US Department of Labor: PERM disclosure data (green cards)"],"filings_for_role_12m":17}],"liveness":null,"pay":null,"html_url":"https://alion.io/job/thermo-fisher-scientific-data-engineer-3","json_url":"https://alion.io/job/thermo-fisher-scientific-data-engineer-3.json","meta":{"generated_at":"2026-10-31T06:11:29Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","about":"Alion is a live layer of people, companies and AI agents: who they are, whether they are real and active right now, what they do and how to work with them, readable by people and by agents and paid per call.","catalog":"https://alion.io/catalog.json","usage":{"tier":"crawler_verified","counted_by":"address","units_charged":1,"used_today":9022,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-11-01T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.02,"usd":0.002,"plus_per_slice":{"credits":0.05,"usd":0.005}},"unit":"per company, plus each slice with data","note":"the employer in depth","call":{"mcp_tool":"get_company","arguments":{"id":7922},"rest":"https://alion.io/mcp/rest/get_company?id=7922"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fthermo-fisher-scientific-data-engineer-3"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"live","price":{"credits":1,"usd":0.1},"unit":"per slice","note":"pay, demand and time to fill for this role and place","call":{"mcp_tool":"market_stats"},"human":"https://alion.io/catalog?offer=market.stats&for=job%2Fthermo-fisher-scientific-data-engineer-3"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.02,"usd":0.002},"unit":"per posting in a list","note":"similar open postings","call":{"mcp_tool":"search_jobs"},"human":"https://alion.io/catalog?offer=job.search&for=job%2Fthermo-fisher-scientific-data-engineer-3"},{"id":"company.verify","title":"Is this company real and active right now","status":"pilot","price":null,"unit":"per company","request":{"url":"https://alion.io/catalog/request","method":"POST","body":"{\"offer\": \"company.verify\", \"for\": \"job/thermo-fisher-scientific-data-engineer-3\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fthermo-fisher-scientific-data-engineer-3"}],"agent":{"mcp":"https://alion.io/mcp/jobs","mcp_open":"https://alion.io/mcp/open","next":[{"tool":"get_job","arguments":{"id":3439272}},{"tool":"search_jobs","arguments":{"company":"thermofisher.com","detail":"compact"}},{"tool":"match_people","arguments":{"job_id":3439272},"note":"people open to offers who fit this vacancy"}],"note":"The same data through MCP tools: https://alion.io/mcp/open needs no sign-in (compact searches, postings, people); https://alion.io/mcp with an Alion account has everything. Docs: https://alion.io/developers"}}