Thermo Fisher Scientific · 1 day ago
Sr Data Engineer
Raleigh, NC
Full-time
Onsite
Mid, Senior Level
$103K/yr - $155K/yr
5+ years expThermo Fisher Scientific is a company that impacts the world by helping customers make it healthier, cleaner, and safer. They are seeking a Senior Data Engineer to develop and manage data architecture, pipelines, and operations while ensuring stable data workflows that support financial processes.
BioinformaticsBiotechnologyCloud Data ServicesConsultingHealth CareLife ScienceManagement Information SystemsOffice SuppliesPrecision Medicine
Responsibilities
Proven experience (5+ years) in data engineering with a strong understanding of modern data architecture, pipelines, and operations
5 years of demonstrated expertise in Databricks and Spark, Python, Apache, SQL including pipeline creation, automation, and monitoring
5 years or more hands-on experience crafting and administrating relational database solutions, including AWS Delta Lake, Oracle, and AWS Redshift
5 years or more experience handling and managing AWS products, including Spark, Glue, Kafka, Elastic Search, Lambda, S3, Redshift, and others
Strong problem-solving skills with debugging, performance tuning, and AI/ML model deployment in cloud environments
Prior experience with tools like Power BI, Cognos, SQL Server, and Oracle is a strong plus
Deep understanding of data modeling, metadata management, and data governance frameworks
Experience building, scheduling, and monitoring data workflows using Apache Airflow
5 years of solid experience in DevOps/DataOps or equivalent roles, version control platforms (such as GitHub), and continuous integration and delivery pipelines
Demonstrated experience in leading engineering projects and managing project lifecycles
A self-starter with the drive and ability to deliver complex solutions rapidly
Communicate effectively with technical and non-technical personnel in oral and written form
Ensure stable and timely data pipelines that support period-end and quarter-end financial close processes, enabling accurate reporting and reconciliations
Monitor, solve, and optimize finance workflows during close cycles to guarantee data completeness, performance, and SLA compliance
Effective leadership abilities to build technical choices and steer teams towards data-driven enterprise solutions
Outstanding interpersonal skills to translate sophisticated technical and AI concepts into business-aligned solutions
Demonstrable ability to collaborate with team members across IT, business, and AI/analytics departments
Passion for continuous learning, innovation, and staying ahead of evolving cloud, AI, and data technologies
Qualification
Required
Proven experience (5+ years) in data engineering with a strong understanding of modern data architecture, pipelines, and operations
5 years of demonstrated expertise in Databricks and Spark, Python, Apache, SQL including pipeline creation, automation, and monitoring
5 years or more hands-on experience crafting and administrating relational database solutions, including AWS Delta Lake, Oracle, and AWS Redshift
5 years or more experience handling and managing AWS products, including Spark, Glue, Kafka, Elastic Search, Lambda, S3, Redshift, and others
Strong problem-solving skills with debugging, performance tuning, and AI/ML model deployment in cloud environments
Deep understanding of data modeling, metadata management, and data governance frameworks
Experience building, scheduling, and monitoring data workflows using Apache Airflow
5 years of solid experience in DevOps/DataOps or equivalent roles, version control platforms (such as GitHub), and continuous integration and delivery pipelines
Demonstrated experience in leading engineering projects and managing project lifecycles
A self-starter with the drive and ability to deliver complex solutions rapidly
Communicate effectively with technical and non-technical personnel in oral and written form
Ensure stable and timely data pipelines that support period-end and quarter-end financial close processes, enabling accurate reporting and reconciliations
Monitor, solve, and optimize finance workflows during close cycles to guarantee data completeness, performance, and SLA compliance
Effective leadership abilities to build technical choices and steer teams towards data-driven enterprise solutions
Outstanding interpersonal skills to translate sophisticated technical and AI concepts into business-aligned solutions
Demonstrable ability to collaborate with team members across IT, business, and AI/analytics departments
Passion for continuous learning, innovation, and staying ahead of evolving cloud, AI, and data technologies
Preferred
Prior experience with tools like Power BI, Cognos, SQL Server, and Oracle is a strong plus
Benefits
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
A minimum of 120 hours of paid time off (PTO), 10 paid holidays each year, and paid parental leave including 3 weeks for bonding and 8 weeks for caregiving.
Accident and life insurance are provided, along with short- and long-term disability as outlined in 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
Company
Thermo Fisher Scientific
Thermo Fisher Scientific is a biotechnology and laboratory equipment company that provides a wide range of scientific products and services.
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
Daniella Cramp
Senior Vice President and President, Bioproduction Group
Recent News
2026-01-09
Research & Development World
2026-01-09
EIN Presswire
2026-01-07
Company data provided by crunchbase