Data Engineer/Scientist

Trimble Inc.Boston, MA
87d

About The Position

Are you an enthusiastic and self-motivated Data Engineer / Scientist eager to contribute your expertise to our dynamic and innovative team? Join us in leveraging data to drive meaningful business outcomes and contribute to the success of Trimble's data-driven initiatives. Unleash Your Potential as a Trimble Data Engineer and Scientist! Craft data integration frameworks that sync with business needs and uphold security standards. Improve user satisfaction and company growth by gaining insights into how they make use of our products. Explore challenges across data domains, team up cross-functionally, and visualize crucial insights. Embrace multitasking and tech adaptability to thrive. Your path to impactful action starts here. Design, develop, and program methods, processes, and systems to analyze and consolidate diverse "big data" sources - both structured and unstructured. Generate actionable insights and solutions to enhance client services and products. Collaborate with product and go to market teams to identify data analysis questions and issues. Develop software programs, algorithms, and automated processes to cleanse, integrate, and evaluate large datasets from multiple sources. Extract meaningful insights from data and effectively communicate findings to product, service, and business managers.

Requirements

  • Bachelor's Degree in Computer Science, Data Analytics, Engineering, or a related field.
  • Minimum of 5 years of experience in data science, data engineering or a related field.
  • Strong critical thinking abilities and the capacity to work autonomously.
  • Proficient understanding of key data engineering concepts, such as data lakes, columnar formats, ETL tools, and BI tools.
  • Demonstrated passion and aptitude for problem-solving.
  • Proficiency in Python & SQL; other languages a benefit.
  • Effective collaboration skills within a team environment.

Nice To Haves

  • Master’s and Ph.D. graduates welcome.

Responsibilities

  • Craft data integration frameworks that sync with business needs and uphold security standards.
  • Improve user satisfaction and company growth by gaining insights into product usage.
  • Explore challenges across data domains and visualize crucial insights.
  • Design, develop, and program methods, processes, and systems to analyze and consolidate diverse big data sources.
  • Generate actionable insights and solutions to enhance client services and products.
  • Collaborate with product and go to market teams to identify data analysis questions and issues.
  • Develop software programs, algorithms, and automated processes to cleanse, integrate, and evaluate large datasets.
  • Extract meaningful insights from data and effectively communicate findings.

Benefits

  • Medical, Dental, Vision, Life, Disability insurance.
  • Time off plans and retirement plans.
  • Tax savings plans for health, dependent care, and commuter expenses.
  • Paid Parental Leave.
  • Employee Stock Purchase Plan.
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