**Work Schedule** Standard (Mon-Fri) **Environmental Conditions** Office **Job Description** The Data Engineer, Digitization Technology is part of the Biologicals and Chemicals Division, one of the fastest-growing areas of the company, supporting developers and manufacturers of biological-based therapeutics and vaccines. This role contributes to the division’s digitization efforts by enabling reliable, high-quality experimental data to flow from laboratory systems into downstream analytical platforms. Working at the intersection of laboratory systems and the enterprise data platform, the Data Engineer plays a key role in ensuring experimental data is structured, interpretable, and ready for use in analytics, reporting, and future advanced data applications. Location: Grand Island, NY Division: Biologicals and Chemicals Division **Responsibilities** + Develop, maintain, and support mission-critical data pipelines that move experimental data from laboratory systems (e.g., LIMS and ELN) into the division’s data lake. + Ingest and curate historical experimental data, addressing inconsistencies, data quality issues, and evolving data structures to ensure downstream usability and trust. + Maintain and support the LIMS environment, including troubleshooting data-related issues and collaborating with system stakeholders to resolve root causes. + Apply data quality checks, validation logic, and monitoring to ensure accuracy, consistency, and completeness of ingested data. + Collaborate closely with data architecture, data operations, and platform teams to align ingestion processes with established data standards and platform requirements. + Support downstream analytics and reporting use cases by ensuring experimental data is well-structured, documented, and appropriately contextualized. + Contribute to documentation of data pipelines, data structures, and ingestion processes to support transparency, reuse, and long-term maintainability. + Continue to develop technical skills across data engineering, analytics, and visualization through hands-on work and collaboration with more senior engineers. **Education** + Bachelor’s degree in Computer Science, Engineering, or a related field, or equivalent practical experience. + Minimum of 2 years of relevant professional experience. **Experience & Technical Skills** + At least 2 years of experience in a data engineering or data-focused software role, with exposure to technical, business, or operational data requirements. + Experience working with data lakes, analytics platforms, or business intelligence solutions. + Hands-on experience using AWS and Databricks or similar data processing platforms. + Proficiency in Python and common Python libraries used for data processing and analysis. + Experience working with SQL databases, including writing and optimizing queries, debugging data issues, and working with views, indexes, and user-defined functions. + Familiarity with laboratory or scientific data systems (e.g., LIMS) is preferred. **Working Style & Collaboration** + Ability to work effectively as part of a cross-functional team, collaborating with engineers, scientists, and data stakeholders. + Comfortable working with complex, evolving datasets and addressing ambiguity in historical or experimental data. + Demonstrated problem-solving skills and a willingness to learn and grow within a data engineering environment. **Compensation and Benefits** The salary range estimated for this position based in New York is $66,000.00–$90,000.00. This position may also be eligible to receive a variable annual bonus based on company, team, and/or individual performance results in accordance with company policy. We offer a comprehensive Total Rewards package that our U.S. colleagues and their families can count on, which includes: + A choice of national medical and dental plans, and a national vision plan, including health incentive programs + Employee assistance and family support programs, including commuter benefits and tuition reimbursement + At least 120 hours paid time off (PTO), 10 paid holidays annually, paid parental leave (3 weeks for bonding and 8 weeks for caregiver leave), accident and life insurance, and short- and long-term disability in accordance with company policy + Retirement and savings programs, such as our competitive 401(k) U.S. retirement savings plan + Employees’ Stock Purchase Plan (ESPP) offers eligible colleagues the opportunity to purchase company stock at a discount For more information on our benefits, please visit: https://jobs.thermofisher.com/global/en/total-rewards Thermo Fisher Scientific is an EEO/Affirmative Action Employer and does not discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability or any other legally protected status.