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Farmland Investing Made Easy

Data Software Engineer

0.1% – 0.5%
$100k – $150k AngelList Est.
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Recognizing that farming is the single most vital industry on our planet, we want to drive sustainable and prosperous food systems that work for everyone in our globally connected world.

We are creating a technology-driven trading platform for a brand new asset class out of the $9 trillion global farmland market, previously only accessible to the largest institutional investors. This is a unique opportunity to join at the very beginning of this exciting journey and help grow a truly innovative financial product. We already have $50M+ in farmland opportunities and it is just the beginning.

In this role, you will work closely with business and engineering to identify and answer important questions.
You will collect and structure data from public sources
You will integrate with major private data providers

Experience:

You have expert experience programming in Java and strong experience programming in Python.
You have experience building processing, scraping, or data pipelines (real-time or batch) on large datasets for the purposes of information retrieval, machine learning, or data analytics.
You design not just with a mind for solving a problem, but also with maintainability, testability, monitorability, and automation as top concerns.
You can balance complexity and simplicity.
You are a strong collaborator.
You have a BS/MS/PhD in Computer Science or related field.

Compensation:
We offer a competitive salary and a very rewarding equity package.

It is essential that you read our White Paper available at the bottom of our landing page at FarmTogether.com prior to the interview.

FarmTogether at a glance

Farmland Investing Made Easy

FarmTogether focuses on Financial Services, Investment Management, Farming, and Financial Technology. Their company has offices in New York City and San Francisco. They have a small team that's between 11-50 employees.

You can view their website at https://farmtogether.com or find them on Twitter, Facebook, and LinkedIn.

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