Alteryx, Inc. logo

Sr. Software Engineer

Job Overview

Location

US - Remote

Job Type

Full-time

Category

Software Engineering

Date Posted

April 25, 2026

Full Job Description

đź“‹ Description

  • • As a Sr. Software Engineer at Alteryx, you will play a critical role in advancing the company’s mission to build the world’s best analytics platform by developing and maintaining core components of the Alteryx engine, particularly focusing on the integration between C++ and Python runtimes.
  • • Your day-to-day responsibilities include taking full ownership of feature development from design through testing, contributing to DevOps pipelines, participating in code reviews, mentoring junior engineers, and ensuring high-quality, performant software delivery in a collaborative, cross-functional environment.
  • • You will work closely with Product Management and the SDK team to define and implement work items, while leading efforts to modernize virtual environment management, installer/packaging systems, and native extension compatibility across Python versions.
  • • This role offers the opportunity to deepen expertise in native–Python interoperability, drive reliability in high-throughput streaming scenarios, and shape the future of Alteryx’s extensibility platform while working with cutting-edge tools in a remote-first, innovative culture.

Skills & Technologies

Python
JavaScript
Go
Rust
React
Senior
Remote
$119k-153k
Degree Required

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Alteryx, Inc. logo
Alteryx, Inc.
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About Alteryx, Inc.

Alteryx, Inc. provides a self-service data analytics platform that enables organizations to prepare, blend and analyze data from multiple sources without coding. Its software combines data preparation, geospatial analytics and predictive modeling in a drag-and-drop workflow interface, targeting business analysts and data scientists. Founded in 1997 and headquartered in Irvine, California, the company serves finance, healthcare, retail and public-sector clients worldwide, helping them automate analytics processes and accelerate data-driven decisions.

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