Description

Work ScheduleStandard (Mon-Fri)Environmental ConditionsOfficeJob DescriptionThe 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 DivisionResponsibilities<ul><li>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.</li><li>Ingest and curate historical experimental data, addressing inconsistencies, data quality issues, and evolving data structures to ensure downstream usability and trust.</li><li>Maintain and support the LIMS environment, including troubleshooting data-related issues and collaborating with system stakeholders to resolve root causes.</li><li>Apply data quality checks, validation logic, and monitoring to ensure accuracy, consistency, and completeness of ingested data.</li><li>Collaborate closely with data architecture, data operations, and platform teams to align ingestion processes with established data standards and platform requirements.</li><li>Support downstream analytics and reporting use cases by ensuring experimental data is well-structured, documented, and appropriately contextualized.</li><li>Contribute to documentation of data pipelines, data structures, and ingestion processes to support transparency, reuse, and long-term maintainability.</li><li>Continue to develop technical skills across data engineering, analytics, and visualization through hands-on work and collaboration with more senior engineers.</li></ul>Education<ul><li>Bachelor’s degree in Computer Science, Engineering, or a related field, or equivalent practical experience.</li><li>Minimum of 2 years of relevant professional experience.</li></ul>Experience & Technical Skills<ul><li>At least 2 years of experience in a data engineering or data-focused software role, with exposure to technical, business, or operational data requirements.</li><li>Experience working with data lakes, analytics platforms, or business intelligence solutions.</li><li>Hands-on experience using AWS and Databricks or similar data processing platforms.</li><li>Proficiency in Python and common Python libraries used for data processing and analysis.</li><li>Experience working with SQL databases, including writing and optimizing queries, debugging data issues, and working with views, indexes, and user-defined functions.</li><li>Familiarity with laboratory or scientific data systems (e.g., LIMS) is preferred.</li></ul>Working Style & Collaboration<ul><li>Ability to work effectively as part of a cross-functional team, collaborating with engineers, scientists, and data stakeholders.</li><li>Comfortable working with complex, evolving datasets and addressing ambiguity in historical or experimental data.</li><li>Demonstrated problem-solving skills and a willingness to learn and grow within a data engineering environment.</li></ul>Compensation and BenefitsThe 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:<ul><li>A choice of national medical and dental plans, and a national vision plan, including health incentive programs</li><li>Employee assistance and family support programs, including commuter benefits and tuition reimbursement</li><li>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</li><li>Retirement and savings programs, such as our competitive 401(k) U.S. retirement savings plan</li><li>Employees’ Stock Purchase Plan (ESPP) offers eligible colleagues the opportunity to purchase company stock at a discount</li></ul>For more information on our benefits, please visit: <a href="https://jobs.thermofisher.com/global/en/total-rewards" target="_blank">https://jobs.thermofisher.com/global/en/total-rewards</a>

Data Engineer, Digitization Technology

Description

Thermo Fisher Scientific