Enveritas offers a new approach to sustainability assurance for companies and farmers. We are building sustainability solutions for smallholder coffee farming communities that are currently beyond the reach of existing certification and verification approaches. YC S18.
Do you want to work for a mission-driven non-profit, analyzing data and 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 Data Team. You can learn more about this role and our Data Team at https://www.enveritas.org/jobs/data-eng/
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 five-person team (soon to be six!) 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 sixteen 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. We write code to transform raw survey data into insights that match our sustainability standards.
Our 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. And soon, we will be working with our DataViz team to create data visualizations based on Plotly’s Dash Enterprise. 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
Research shows that people of different backgrounds read job postings differently. If you don’t think you meet all of the qualifications but do think you’d be a great match for us, please consider applying and sharing more in your cover letter. We’d love to talk with you to see what skills you can bring to our team. This said, we are most likely to be interested in your candidacy if you can demonstrate the majority of the qualifications listed below:
Who You Are:
Our team is fully distributed, so you should be comfortable with remote work. This role is a full-time individual contributor role. While you can be located anywhere, our core hours are 10am to 2pm Eastern Time (currently UTC -4) Monday through Friday, with team members choosing either an early start or later stop as suits them.
Our work is often ambiguous, so you should have a love for environments with uncertainty. Most of our work is internal facing, so our product specs are often rough. For this role, you will be the only engineer on our Data Team (and supported by engineers on our Engineering Team), so you should be comfortable working with data analysts to write software and review others’ code. You should have a deep empathy for users of our tools and understand the importance of supporting the work of other teams.
What we can offer:
Enveritas has teams around the world: we are about 65 people spread over almost two dozen countries, and of all backgrounds and identities. To learn more about working at Enveritas, see https://www.enveritas.org/jobs/
For a US-Based hire, base salary for this position will be between $125,000 and $140,000 annually (paid bi-monthly). This is a full-time exempt position. Full benefits include 401k with matching contributions, Medical/Dental/Vision, and Flexible Spending Account (FSA), 4 weeks vacation in addition to public 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 this position will be paid in relevant local currency.
For all staff, we are able to offer:
About Enveritas: Enveritas offers a new approach to sustainability assurance for companies and farmers. We are building sustainability solutions for smallholder coffee farming communities that are currently beyond the reach of existing certification and verification approaches. At Enveritas, we have developed a rigorous, scalable, and transparent verification method. This verification is the backbone of our Responsible Sourcing platform that helps companies meet their sustainability targets by investing in the areas that need it most.
Enveritas is a startup non-profit focused on helping 100 million people out of poverty by 2030. Founded in 2016 and fast-growing, Enveritas now operates in 26 countries and provides sustainability verification free of charge for smallholder farmers. Using leading-edge AI, Enveritas has developed innovative approaches to monitor deforestation and calculate carbon footprints in the supply chains of multinational firms. We are a fully distributed team of about 60 team members plus over 300 field staff in our partner organizations with an annual operating budget for 2021 at approximately $10M.
Please feel free to contact us at email@example.com should you have any questions about this position. Questions about this opportunity or process will not reflect negatively on your application.
Enveritas has teams around the world: we are about 65 people spread over almost two dozen countries, and of all backgrounds and identities and speak 20 languages. We’re a collegiate group that genuinely enjoys supporting each other. Regardless of whether the team you’re looking to join is based in the field or at a desk, every one of us is inspired to find ways of making life better for others.
Made with ❤️ by Veni Kunche.