Product Engineer II- Data Pipelines

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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