Enveritas
👉 Please reference you found the job on Remote Software Engineering Jobs, this helps us get more companies to post here, thanks!
The same resources that successfully helped engineers get offers from Google, Microsoft, and Amazon. With proven results and used by over a million people all around the world...
Do you want to work for a mission-driven non-profit, writing software that will contribute to helping millions of coffee farmers out of poverty? Enveritas is a 501(c)3 non-profit and Y Combinator-backed startup looking to hire for our Engineering Team. We have teams around the world: we are about 65 people spread over almost two dozen countries, and of all backgrounds and identities.
We care deeply about diversity. Our work is complex and nuanced, so the more diversity we have in the voices working on our problems, the larger of an impact our work can have for the world. Enveritas is an Equal Opportunity Employer encouraging an inclusive and diverse workforce. We embrace and celebrate the unique experiences, perspectives, and cultural backgrounds that each individual brings to the workplace. We are dedicated to hiring employees who reflect the communities we serve and strongly encourage qualified candidates from all backgrounds to apply.
We are looking for a Data Software Engineer with several years of professional experience to join our Data Team on a remote, full-time basis. Our Data Team is a six person team (soon to be seven!) working from Chile, Poland, Colombia, and the United States, and is part of our Engineering & Data Group — a quirky, talented, and humble group of about twenty with diverse backgrounds ranging from journalism to academia to international industry.
About Our Data Team
Our Data Team creates models, analysis, and visualizations to better understand our data about the climate, economic, and social conditions experienced by coffee farmers. Our Data Team team supports our Country Operations teams by creating tools (using Google Sheets API, SQLAlchemy, Airtables, and Looker) for them to detect outliers and glean insights from our survey data. We help our Partnerships team by creating PDF documents (using Python) for delivering sustainability insights. We create statistical and descriptive models (with a soft spot for Bayesian models) to understand issues like the cost of production farmers face, and how widespread poverty is among them.
Our programming languages of choice are Python and SQL (we use PostgreSQL), although some of our analysis is also done in R. We use git for version control, Github for hosting our repositories, and pytest for automated testing.
What You’ll Be Doing
Who You Are
Qualifications
We are committed to fair and equitable hiring. To honor this commitment, we are being transparent about our interview process. We are interested in learning what working with you would be like and believe the below is the fairest method for us to see you at your best — and for you to learn about us! If you feel that a different method would be better for us to learn what working together would be like, please tell us in your application.
After your introductory interview, we expect your interview process to take three to four weeks (but will depend on scheduling), and consist of four conversations that total about five hours of time. You should plan to also spend about four hours in total preparing for interviews. See the hiring page at https://www.enveritas.org/jobs/frontend-software-eng/ for details about each of these interviews, including links to our interview prompts as available
Feel free to contact us at jobs@enveritas.org should you have any questions about the position or the interview process. Questions about this opportunity or process will not reflect negatively on your application.
For a US-Based hire, full benefits include 401k with matching contributions, Medical/Dental/Vision, and Flexible Spending Account (FSA), 4 weeks vacation in addition to 12 standard holidays, and personal/sick time.
For a hire outside the US, our offer will be competitive; the specific benefits and compensation details will vary as required to account for your region’s laws and requirements. Salary for each position will be paid in relevant local currency.
For all staff, we are able to offer: