Sr. Data Analyst / Engineer Job at Thermo Fisher Scientific, Grand Island, NY

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  • Thermo Fisher Scientific
  • Grand Island, NY

Job Description

Work Schedule
Standard (Mon-Fri)

Environmental Conditions
Office

Job Description

Why This Opportunity is Unique:

At Thermo Fisher Scientific Inc., you will be part of an ambitious team that rigorously pursues excellence and innovation. As a Sr. Data Engineer, you will play a key role in crafting data-driven strategies that help us excel on a global scale. This role is perfect for someone who is passionate about making a tangible impact through magnificent data engineering and contributing to elite projects that determine our success!

Location : This position is on-site and available at the below locations.

Remote work is not available for this role. Candidates must be willing to work on-site at one of the specified locations.
  • Grand Island, NY
  • Pittsburgh, PA
  • Raleigh, NC
  • Asheville, NC
  • Logan, UT

Key Responsibilities

As a senior, you will be entrusted with critical tasks to ensure we delight our clients through data operations. Your responsibilities will include, but are not limited to:
  • Design, develop, and maintain cloud pipelines and architectures.
  • Collaborate with data scientists, analysts, and collaborators to understand data needs and deliver high-impact solutions.
  • Implement established standard methodologies to ensure data quality and integrity.
  • Supervise and ensure efficient performance of data pipeline, fixing any issues that arise.
  • Develop and maintain documentation for data processes and systems.
  • Work closely with the engineering team to integrate new data management technologies.
  • Ensure compliance with data governance and security policies.
  • Mentor junior data engineers and promote a culture of continuous improvement.

Requirements
  • 5+ years of experience in a data engineering role.
  • Proven experience with structured ( SQL ) and unstructured ( JSON ) datasets.
  • Strong proficiency in programming languages such as Python, R, or Scala.
  • Experience with machine learning and data analytics.
  • Deep understanding of ETL techniques and data warehousing solutions on-prem and in the cloud.
  • Strong understanding of cloud platforms and repos such as Github , AWS , Azure , or Databricks .
  • Outstanding penchant to solve problems and capability to thrive in a fast-paced environment.
  • Strong communication skills and the ability to work collaboratively in a team setting.
Our Commitment to You

At Thermo Fisher Scientific, we strongly embrace a culture of community and collaboration. We firmly believe that open perspectives foster innovation and that everyone should feel appreciated and valued! We are committed to crafting an environment where all employees can flourish and bring their exceptional skills to shared in achievements.

Compensation and Benefits
The salary range estimated for this position based in New York is $115,000.00-$135,000.00.

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:
  • 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
  • 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
  • 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

For more information on our benefits, please visit:

Job Tags

Holiday work, Temporary work, Remote job,

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