Thermo Fisher Scientific · 15 hours ago
Senior Data Analytics Engineer (Data Sciences)
Raleigh, NC
Full-time
Onsite
Senior LevelThermo Fisher Scientific is a leading life science company with significant R&D investments. The Senior Data Analytics Engineer will develop and maintain analytics and data solutions to drive decision-making and improve efficiency across the organization.
BioinformaticsBiotechnologyCloud Data ServicesConsultingHealth CareLife ScienceManagement Information SystemsOffice SuppliesPrecision Medicine
Responsibilities
Lead the architecture and implementation of data pipelines and Microsoft Fabric-based data models to enable unified financial reporting and analytics
Build, review, and optimize ETL processes developed in Python, ensuring efficient data ingestion, transformation, and quality across diverse data sources (ERP, financial systems, operational platforms)
Partner with Finance leadership to define business requirements, translate them into robust technical builds, and deliver actionable insights for decision-making
Establish and implement data engineering standards, including coding guidelines, documentation, version control, and automated testing for ETL pipelines
Develop, test, and deploy scalable data models using Lakehouse architectures and Fabric Data Warehouses to support forecasting, planning, and profitability analysis
Provide technical leadership and mentorship to data engineers and analysts, encouraging skill development in Fabric, Power BI, and modern Python data frameworks (Pandas, PySpark, SQLAlchemy)
Collaborate multi-functionally with Finance, IT, and Data Governance teams to ensure alignment with enterprise data architecture and security policies
Keep up to date with developments in Microsoft Fabric, Power BI, Python, and data orchestration tools, and suggest their strategic implementation
Run multiple concurrent initiatives — leading all aspects of planning, prioritisation, communication, and customer engagement
Qualification
Required
Bachelor's degree or equivalent experience in a quantitative field, such as Statistics, Computer Science, Mathematics, Data Science or a related field
Proven experience in a data engineer or data science role with dynamic responsibilities and scope
Experience building models and analyzing large, complex data sets yielding opportunities for revenue and/or process improvement within an organization
Technical proficiency in Python and SQL
Proficiency in data engineering and reporting platforms (Databricks, Power Bi, Tableau, SAS Analytics)
Interpersonal skills: outstanding verbal/written communication
Proven track record of achieving desired results without direct report authority
Knowledge of Agile/Scrum methodology is a plus
Hands-on experience with distributed computational framework, such as Spark
Command of statistical topics, including distributions, hypothesis testing, and experiment building
Minimal travel required about 10%
Preferred
Master's or equivalent experience preferred
Company
Thermo Fisher Scientific
Thermo Fisher Scientific is a biotechnology and laboratory equipment company that provides a wide range of scientific products and services.
Founded in 1956
10001+ employees
H1B Sponsorship
Thermo Fisher Scientific has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (272)
2024 (224)
2023 (233)
2022 (342)
2021 (315)
2020 (227)
Funding
Current Stage
Public CompanyTotal Funding
$15.97BKey Investors
National Grid
2025-11-24Post Ipo Debt· $2.42B
2025-09-30Post Ipo Debt· $2.5B
2023-08-07Post Ipo Debt· $2.95B
Leadership Team
Stephen Williamson
Senior Vice President and Chief Financial Officer
Michel Lagarde
Chief Operating Officer
Recent News
CB Insights
2026-01-23
Company data provided by crunchbase