Senior PyData Software Developer

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.

We are looking for enthusiastic and highly motivated software developers with extensive experience in the Scientific Python and PyData ecosystems to help support Quansight’s growing consulting business. This is an excellent opportunity for you to apply your software development skills to the open-source, Python, data-science, AI, big data and visualization ecosystems, and to help customers apply these tools to solve practical business problems.

What you’ll do

As a Senior PyData Software Developer, you will be a key member of our team solving problems for our clients using tools from the Python open-source ecosystem. As appropriate, you will help maintain and push developments back upstream to open source projects. We are especially interested in people with a strong technical background who have experience or have an interest in becoming technical leads. Our client projects vary widely across business domains and technologies, being comfortable with growing and learning new technologies will be important to fitting in at Quansight. Key areas we touch on when building solutions for clients include algorithm development, data engineering, data science, machine learning/AI, visualization, packaging, infrastructure and integration.

Requirements:

  • Fluency in Python
  • Extensive experience with the Scientific Python and Data Science ecosystems, i.e. Pandas, NumPy, Scikit-Learn, etc.
  • Experience applying the PyData stack to data and scientific projects
  • Familiarity with software engineering best practices, including unit tests, code review, version control, CI/CD, etc.
  • Superior written and verbal communication skills, including writing and reviewing  documentation
  • Ability to make technical and architectural decisions with minimal oversight. 

Additionally one or more of the following skills will help you stand out:

  • Contributions to open source projects
  • Skills in other programming languages
  • Experience with DevOps and Infrastructure-as-Code approaches
  • Experience with Python packaging and conda environments
  • Experience with advanced Python data libraries such as Dask and Numba
  • Experience working in a client-facing environment
  • Exposure to building data engineering pipelines using Prefect, Airflow and similar tools
  • Practical Experience in MLOps approaches
  • Ability to provide technical leadership to others

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.