Data-Focused Product Engineer

1 week ago


Redlands, California, United States Esri Full time
Job Title: Data-Focused Product Engineer

We are seeking a highly skilled Data-Focused Product Engineer to collaborate with our team in developing, publishing, and maintaining global datasets as cloud-based web services to support mapping and analysis.

Key Responsibilities:
  • Collaborate with a small team to develop, publish, and maintain global datasets as cloud-based web services to support mapping and analysis.
  • Work collaboratively with software developers, technical support, and other internal stakeholders to improve existing workflows.
  • Administer, automate, and manage GIS systems and services to support the development of new product features and ongoing product releases.
  • Integrate new data sources, update existing services, and innovate new methodologies for publishing and consuming Living Atlas services.
  • Engineer workflows that improve data processing efficiency and effectiveness while creating content that helps promote more informed decision making within the GIS community.
  • Develop and implement test plans and test cases, write test code, verify code changes, and bug fixes for the relevant and related products to maintain product quality.
  • Troubleshoot and triage issues reported by customers, analyze user feedback to identify areas of improvement.
  • Investigate emerging trends and techniques for modeling live feed information to better serve the needs of the ArcGIS community.
  • Prepare documentation, videos, blogs, white papers, and other supporting materials that guide customers, partners, and internal collaborators.
  • Team with customers such as NOAA, USDA, NCAR, NASA, ESA, and other key content creating organizations to help incorporate their data into Living Atlas.
  • Support Esri's development teams to integrate Living Atlas services across the ArcGIS platform.
Requirements:
  • 2+ years of experience with ArcGIS software, particularly geoprocessing tools in the data management, analysis, interoperability (ETL workflows), spatial analyst, and statistical toolboxes.
  • 1+ years of experience with high-level programming languages including Python.
  • Experience working with command line Windows or Unix environments.
  • Strong communication skills.
  • Ability to effectively document and present relevant details about the data behind Living Atlas services to users.
  • Experience managing and analyzing large, complex datasets.
  • Ability to design and implement production workflows for near real-time data updates.
  • Bachelor's in data science, information technology, computer science, GIS, or related discipline.
Recommended Qualifications:
  • Experience working with command line Windows or Unix environment.
  • Experience with ArcGIS raster and mosaic datasets.
  • Understanding of computer hardware architecture and operating systems.
Total Rewards:

Esri's competitive total rewards strategy includes industry-leading health and welfare benefits, 401(k) and profit-sharing programs, minimum accrual of 80 hours of vacation leave, twelve paid holidays throughout the calendar year, and opportunities for personal and professional growth.

A reasonable estimate of the base salary range is $74,984-$128,544 USD.

About Esri:

At Esri, diversity is more than just a word on a map. When employees of different experiences, perspectives, backgrounds, and cultures come together, we are more innovative and ultimately a better place to work. We believe in having a diverse workforce that is unified under our mission of creating positive global change.

We are committed to the continuation of learning, growing, and changing our workplace so every employee can contribute to their life's best work. Our commitment to these principles extends to the global communities we serve by creating positive change with GIS technology.

Esri is an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability status, protected veteran status, or any other characteristic protected by law.



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