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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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.

A reasonable estimate of the base salary range is

$79,664 — $133,120 USD

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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