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BI Data Engineer

πŸ“ United, PA πŸ•’
Work Model
πŸ“ United, PA
Employment
πŸ’Ό Full-Time Direct
Recruitment Type
πŸ›‘οΈ Direct to HR Pipeline
πŸ›‘οΈ
Human-Verified Opening: Inspected by Sarah Jenkins, CIPD • RemoteVault Editorial Team. Authenticated directly from Thermo Fisher Scientific's hiring pipeline • Zero recruiter markups or candidate fees. Verification Standards →

πŸ“‹ Role Overview & Responsibilities

As part of the Thermo Fisher Scientific team, you’ll discover meaningful work that makes a positive impact on a global scale. Join our colleagues in bringing our Mission to life every single day to enable our customers to make the world healthier, cleaner and safer. We provide our global teams with the resources needed to achieve individual career goals while helping to take science a step beyond by developing solutions for some of the world’s toughest challenges, like protecting the environment, making sure our food is safe or helping find cures for cancer.

How will you make an impact?

We are looking for a data engineer to join our remote team and advance our people analytics function! The Data Engineer will support our BI Cube, data lake and build our Generative AI tools that are used to improve workforce decisions that drive business performance and growth at Thermo Fisher Scientific.

What will you do?

Collaborates with users and product owners to resolve use cases and translates business needs to technical requirements.

Maintain and enhance the data lake and cube including adding data feeds, writing transforms, writing DAX measures and the like.

Be a critical part in helping develop our generative AI solutions and strategies.

Conduct research and stay up-to-date with the latest advancements in relevant technology, identifying opportunities for innovation and improvement.

How Will You Get Here?

Education

Bachelor’s degree in computer or data science, engineering, or a related field; or work experience equivalent.

Experience

4+ years of experience with SQL, Python and DevOps practices.

Experience developing in cloud environment; Amazon Web Services preferred.

4+ years of experience working with Microsoft Power BI with strong competency in DAX is a plus.

Experience building generative AI applications using Microsoft or Amazon tools is a plus.

Knowledge, Skills, And Abilities

Writes moderate to advance DAX including measure optimization.

Experience with version control and project management software (e.g., Git, JIRA).

Self starter who is constantly learning new skills and has an interest in AI.

Thermo Fisher Scientific Inc. (NYSE: TMO) is the world leader in serving science, with annual revenue of approximately $40 billion. Our Mission is to enable our customers to make the world healthier, cleaner and safer. Whether our customers are accelerating life sciences research, solving complex analytical challenges, increasing productivity in their laboratories, improving patient health through diagnostics or the development and manufacture of life-changing therapies, we are here to support them. Our global team of more than 100,000 colleagues delivers an unrivaled combination of innovative technologies, purchasing convenience and pharmaceutical services through our industry-leading brands, including Thermo Scientific, Applied Biosystems, Invitrogen, Fisher Scientific, Unity Lab Services, Patheon and PPD. For more information, please visit www.thermofisher.com.

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.

Frequently Asked Questions

How do I apply for the BI Data Engineer position at Thermo Fisher Scientific? β–Ό

Click the “Apply for this Position” button on this page to submit your application directly to Thermo Fisher Scientific without recruitment intermediary fees.

Is this position eligible for remote work or visa sponsorship? β–Ό

This position is located in United, PA with potential relocation and sponsorship assistance depending on candidate qualifications.

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