Overview
The ArcGIS Data Pipelines team builds and maintains a data preparation and integration application used across ArcGIS. Our team’s work sits at the intersection of GIS, data engineering, analytics, and product development. We spend a lot of time thinking about real customer workflows: how data gets from source systems into ArcGIS, where users encounter issues while integrating their data, and how we can make those processes simpler and more reliable.
This is not a narrowly focused QA, design, or development role. Product Engineers on our team contribute to all these areas. You will design, build, and enhance test automation frameworks, investigate customer issues, review designs, document features, and collaborate directly with users and developers to help build the ArcGIS Data Pipelines product.
If you're naturally curious, enjoy exploring how complex systems work, and are excited to learn and create something new, you'll thrive on our team.
Responsibilities
- Design, develop, and maintain test harnesses and test cases for new and existing functionality
- Run manual and automated tests and investigate unexpected behavior or results
- Work closely with software developers and fellow product engineers throughout the product development cycle
- Advocate for user workflows during design and planning discussions
- Create demos, samples, blog posts, and technical content that help customers understand new capabilities
- Participate in conversations with users to understand how they prepare, integrate, and manage data
Requirements
- 2+ years of experience using Python or another scripting language
- Experience using testing frameworks such as pytest
- Understanding of APIs and API design principles
- Experience combining, preparing, transforming, or validating data from multiple sources
- Familiarity with ArcGIS Online, ArcGIS Enterprise, or similar web-based GIS platforms
- Strong written and verbal communication skills
- Comfortable presenting technical information to groups
- Ability to manage multiple priorities and adapt to changing needs
- Self-motivated, inquisitive, and willing to learn new technologies and workflows
- Bachelor's degree in GIS, Computer Science, Data Analytics, or a related field
Recommended Qualifications
- Master's degree in GIS, Computer Science, Data Analytics, or a related field
- Experience with PySpark
- Experience with NoSQL databases, relational databases, cloud warehouses, or object storage platforms
- Experience evaluating emerging technologies and determining practical applications
- Project management experience
- Experience with ArcGIS Online or ArcGIS Enterprise
We encourage you to include a cover letter highlighting why you're interested in the role and how your experience aligns with the position.
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Total Rewards
Esri’s competitive total rewards strategy includes industry-leading health and welfare benefits: medical, dental, vision, basic and supplemental life insurance for employees (and their families), 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. Base salary is one component of our total rewards strategy. Compensation decisions and the base range for this role take into account many factors including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs.
The Company
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 understand that diversity, equity, and inclusion is not a destination but an ongoing process. 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. For more information on Esri’s Racial Equity and Social Justice initiatives, please visit our website here.
If you don’t meet all of the preferred qualifications for this position, we encourage you to still apply!
Esri is an equal opportunity employer (EOE) 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. If you need reasonable accommodation for any part of the employment process, please email [email protected] and let us know the nature of your request and your contact information. Please note that only those inquiries concerning a request for reasonable accommodation will be responded to from this e-mail address.
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