Great Expectations' mission is to revolutionize the speed and integrity of data collaboration. Our SaaS data quality platform, GX Cloud, provides end-to-end support for building trust in your data. It's powered by GX Core, our open source Python library and one of the most widely-used data quality solutions in the world. GX Core leverages extensive data quality experience from a large and vibrant community with over 11,000 members and hundreds of open source contributors. Data teams all over the world rely on Great Expectations to instrument and understand their data. GX Cloud builds on that trust and community to succeed in our mission.
We are looking for someone to:
Create and uphold a high standard of developer experience within our documentation
Work with Product, Engineering, and Developer Relations, to ensure timely, thorough, and accurate documentation of both new and existing product features.
Help drive a use-case-based information-architecture approach to organizing content
Help us continually improve our authoring and production tools and processes
Specifically, you will:
Write robust technical documentation such as task-based how-to’s, end-to-end tutorials, integration guides, and conceptual guides.
Curate clear API references by consulting on the formatting, toolchain, and process. Revise docstrings for clarity based on user feedback.
Create functional code examples to include in our documentation, in collaboration with Developer Relations and Engineering.
Maintain consistency of style, tone, and voice across a growing body of technical content, including developing style guides for others to do the same
Engage in regular review and editing of documentation based on metrics and feedback.
Why join Great Expectations?
Glad you asked! We offer…
A world-class team, with deep roots in open source, cutting-edge software, and data development. We’re backed by some of the best open source and data infrastructure investors in the industry (Index, CRV, and Root Ventures) and are actively cultivating a new cultural blend of excellent data engineering and AI-enabled technical workflows.
A fast-growing company with lots of opportunity for learning and personal growth.
A front-row seat to the rapid evolution of data science and engineering. Data work is going through a renaissance, and—as the leading provider of a key piece in the new technology ecosystem—GX is right in the middle of it.
A kind, curious, and open-minded company culture. We’re always seeking ways to improve ourselves and our processes; and we keep these conversations open to the whole team. We prioritize empowering our team members rather than a command and control hierarchy.
A distributed team with lots of flexibility around timing and individual work preferences. We currently have teammates in Arizona, California, Colorado, Georgia, Illinois, Massachusetts, Michigan, Minnesota, Missouri, New Hampshire, New Jersey, New York, North Carolina, Oregon, Tennessee, Texas, Utah, Vermont, Virginia, Washington and Wisconsin. We’d love to add your state.
And of course, competitive compensation (base salary + equity package) with available medical, dental, vision insurances, plus a 401(k) with 5% employer match.
The salary range for this role is $146,000-$186,000 plus equity. Our offers are made by taking into account the skill level, experience, and location of the specific candidate. In addition to our compensation package, we offer a competitive suite of benefits.
What you bring:
A solid writing background, including 5+ years as a technical writer for a highly technical SaaS product
The ability to clearly and concisely convey technical information to data engineers and data analysts
Strong familiarity with "Docs-as-Code" approach
Strong familiarity with Python and SQL
A passion for cultivating a positive developer experience
It’d be nice if you also had:
Previous experience documenting SaaS products with an open-source core component.
Direct experience with data work in Python, SQL, Spark, etc.
Previous experience working in data engineering, including knowledge of current data engineering tools and trends.
Data in your blood. The more curiosity you have about a wide variety of data from all walks of life, the better.
If you don’t think you meet all of the criteria but are still interested in the job, please apply. Nobody checks every box—we’re looking for candidates who are particularly strong in a few areas, and have some interest and capabilities in others.
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Great Expectations is an Equal Opportunity Employer. In compliance with Federal law and the Federal Acquisition Regulation (FAR) 22.1800, the selected candidate will be required to provide documentation that will verify their identity and eligibility to work in the United States.
Please note that while the position is remote, we currently require applicants to be located in the United States and cannot offer visa sponsorship at this time.
