1324 IT & Software Developer jobs in the US

Thermo Fisher Scientific jobs

Senior Manager, Data Engineering & Science

$85,000 - 120,000
Thermo Fisher Scientific
Glenwood Avenue, Raleigh
$85,000 - 120,000
Company Size icon
Company Size
5k+
Company Type icon
Company Type
Product
Exp Level icon
Exp Level
Senior
Job Type icon
Job Type
Full-Time
Language icon
Language
English
Visa sponsorship icon
Visa sponsorship
No

Requirements

Must:
- Bachelors degree or equivalent experience in a quantitative field, such as Statistics, Computer Science, Mathematics, Data Science or related disciplines; masters degree or equivalent experience is preferred - Over 4 years of experience in a data engineering or data science role, showcasing increasing responsibilities and scope - Demonstrated experience in creating models and analyzing extensive, complex datasets to identify opportunities for revenue and process enhancement within an organization - Strong technical skills in Python and SQL - Proficiency in data engineering and reporting tools like Databricks, Power BI, Tableau, and SAS Analytics - Familiarity with Agile/Scrum methodology is beneficial - Practical experience with distributed computational frameworks, such as Spark - Minimal travel expected, less than 10%

Technologies

Databricks
Fabric
PySpark
SAS
pandas

Responsibilities

- Spearhead the design and execution of data pipelines and Microsoft Fabric-based data models to facilitate unified financial reporting and analytics - Develop, review, and optimize ETL processes using Python, ensuring proficient data ingestion, transformation, and quality assurance across various data sources (ERP systems, financial platforms, operational tools) - Collaborate with Finance leadership to identify business requirements, translate them into strong technical solutions, and deliver actionable insights for informed decision-making - Set and uphold data engineering benchmarks, including coding standards, documentation, version control, and automated testing for ETL pipelines - Create, test, and launch scalable data models utilizing Lakehouse architectures and Fabric Data Warehouses to support forecasting, planning, and profitability assessments - Offer technical guidance and mentorship to data engineers and analysts, fostering skill development in Fabric, Power BI, and contemporary Python data frameworks (Pandas, PySpark, SQLAlchemy) - Work cross-functionally with Finance, IT, and Data Governance teams to ensure conformity with enterprise data architecture and security regulations - Stay informed on advancements in Microsoft Fabric, Power BI, Python, and data orchestration tools, proposing their strategic deployment

Description


At Thermo Fisher Scientific, we are excited to welcome you to our curious and driven team committed to exploration and discovery. With a revenue of over $40 billion and the largest investment in R&D in the industry, we empower our employees with the resources and opportunities to make impactful contributions globally. If you are eager to explore the synergy of finance, data solutions, data science, analytics, and data visualization, this role within our Finance Digital Transformation group is perfectly aligned for you. Join us to collaborate across various divisions, building and maintaining analytics and data solutions to enhance efficiency and drive revenue.
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