Python Software Engineer, Analytics Product
Position: Python Software Engineer, Analytics Products
Location: Broomfield, CO
Revolutionizing business through data science and analytics, Alteryx offers an end-to-end analytics platform which empowers data analysts and scientists alike to break data barriers, deliver insights, and experience the thrill of getting to the answer faster. Organizations all over the world rely on Alteryx daily to deliver actionable insights.
Join our team of passionate and hard-working associates, and help make a difference in people’s lives by creating software that enables business users to solve problems using data that were previously thought to be unsolvable, save them days, weeks and months of mundane data prep and blending, and help them truly love their jobs again.
Overview
We're looking for an engineer to help us build an end-to-end system that helps users analyze their data and build predictive models. We need someone who can take features from start to finish. This might mean building a new UI interaction with JavaScript, solving new architectural problems, or writing some server code in Python. In other words, you're an engineer who can quickly turn ideas into living, breathing, production-ready features.
The stack is built with Python, SQL and React, while our customers are data scientists and business analysts using Alteryx Designer.
Other Qualifications and Responsibilities:
- 2+ years experience in an engineering position
- Experience with building APIs
- Can be autonomous and self-driven
- Rapid prototyping
- Working with the product management team to define new features
- A desire to learn (and apply) new skills
Nice to Have:
- Experience with data science tools such as Pandas or Scikit-Learn
- Familiarity with statistical and predictive modeling
The company will not provide sponsorship for work visas or other employment authorization for this position.
Alteryx, Inc. is an Equal Employment Opportunity Employer.
Alteryx, Inc. is not accepting unsolicited resumes at this time.