Quansight
Open Application - PyData Maintainer
Job Summary
This role is designed for individuals actively contributing to the PyData open source ecosystem who wish to join a collaborative, remote team. Responsibilities include maintaining existing projects, engaging with industry, government, and academic clients, and collaborating with team members. Strong communication skills and a passion for open source are highly valued. The company emphasizes growth, inclusion, and flexible work arrangements in a supportive environment.
Required Skills
Benefits
Job Description
Who we are
Quansight has its roots in the Python data science community. Our founders have had significant involvement in creating and maintaining NumPy, SciPy, Jupyter, Spyder, Dask, Conda, Numba, and other projects, as well as PyData NumFOCUS, and Anaconda. Our mission is to connect companies to open-source communities to create sustainable solutions that benefit the whole ecosystem.
We accomplish this mission by providing various services ranging from open-source software development to training and consulting. We believe in a culture of do-ers, learners, and collaborators. We are looking for people who are motivated, humble, curious, and respectful of others.
Quansight is invested in supporting the open source Pydata ecosystem. We are always looking for people who want to help move the community forward through maintaining its core packages. A healthy open source ecosystem requires more than just technical talent, but also contributions in a wide variety of areas like community engagement, design, documentation, project management, etc.
What you’ll do
This is an open hiring call for candidates who are already heavily invested in contributing to the PyData open source ecosystem and are looking for a company that can support their passion. The specifics of your role will be determined during the interview process. Typically, it will include:
- Continuing to contribute to the existing open-source projects and communities that you are part of as well as adjacent projects that might suit your interest and talents.
- Working with clients from industry, government and academia.
- Collaborating with, learning from, and mentoring team members
- Being a part of the PyData community
We highly value good communication skills. We aim to help you grow within Quansight and within the Python open source community.
Why should you join?
You'll become essential to a small, collaborative, fully distributed accessibility and engineering team. We strive to provide a working environment that gives you room to learn and grow.
Quansight draws from experience in many large open-source communities over the years. Because these communities operate remotely and strive to be as inclusive and participatory as possible, they must also strive to be more transparent and systematic in communicating, sharing information, and working. We are building a culture at Quansight that follows and builds upon these principles.
We offer flexibility in work times and locations, and vacation time is not just encouraged but celebrated and enforced.
We offer competitive compensation, a comprehensive sick policy and parental leave, and a generous amount of flexible paid time off. If you are located in the United States, Canada, Germany or the UK we also offer a comprehensive benefits package.
Where can we hire?
Our engineering team is entirely remote. Our headquarters are in Austin, Texas, and a good portion of our team is U.S. based. We also have a significant presence in Europe, South America, and Asia. We will consider applicants anywhere (overlap with U.S. and Europe time zones is preferred).
Commitment to diversity, equity, inclusion, and belonging
Quansight understands that valuing diverse creative practices and forms of knowledge is crucial to and enriches the company’s core mission. We encourage applications from everyone, including members of all equity-seeking communities, such as (but certainly not limited to) women, racialized and Indigenous persons, disabled people, persons of all sexual orientations, gender identities and expressions.
We are an equal opportunity employer - all qualified applicants will receive equal consideration for recruitment, interviews, employment, training, compensation, promotion, and related activities. We do not discriminate based on race, religion, gender, gender identity, gender expression, color, national origin, pregnancy, ancestry, domestic partner status, disability, sexual orientation, age, genetic predisposition, medical condition, marital status, citizenship status, military or veteran status, or any other basis covered by applicable laws. Quansight will not tolerate discrimination or harassment based on these characteristics or any other unlawful behavior, conduct, or purpose.
Quansight
Turning Data Into Insights With Open Source Software We solve complex, data-related problems by leveraging the open source software at the foundation of inn ...
See more jobsSafe Remote Job Search Tips
Verify Employer Thoroughly
Research the company's identity thoroughly before applying. Check for a professional website with contacts, active social media, and LinkedIn profiles. Verify details across platforms and look for reviews on Glassdoor or Trustpilot to confirm legitimacy.
Never Pay to Get a Job
Legitimate employers never require payment for applications, training, background checks, or equipment. Always reject upfront payment requests or demands for bank details, even if they claim it's for purchasing necessary work gear on your behalf.
Safeguard Your Personal Information
Protect sensitive data like SSN, bank details, or ID copies. Share this only after accepting a formal, written job offer. Ensure it's submitted via a secure company system or portal, never through insecure channels like standard email attachments.
Scrutinize Communication & Interviews
Watch for communication red flags: poor grammar, generic emails (@gmail), vague details, or undue pressure. Be highly suspicious of interviews held only via text or chat apps; legitimate companies typically use video or phone calls.
Beware of Unrealistic Offers
If an offer's salary or benefits seem unrealistically high for the work involved, be cautious. Research standard pay for similar roles. Offers that appear 'too good to be true' are often scams designed to lure you into providing information or payment.
Insist on a Formal Contract
Always secure and review a formal, written job offer or employment contract before starting work or sharing final personal details. Ensure it clearly defines your role, compensation, key terms, and conditions to avoid misunderstandings or scams.