Data Manager/Data Engineer

  • Indigo
  • Boston, MA
  • Sep 09, 2020

Job Description

What if nature could be harnessed to help farmers sustainably feed the planet? Since 2014, Indigo has questioned agriculture's full value chain to improve grower profitability, environmental sustainability, and consumer health. The company’s scientific discoveries and digital innovations have amplified new value from soil to sale, benefiting more than 10,000 growers to date. Indigo is also the company behind The Terraton Initiative, a global effort to drawdown one trillion tons of atmospheric carbon dioxide by unlocking the potential of agricultural soils. In 2019, Indigo was ranked #1 on CNBC’s Disruptor 50 list. Headquartered in Boston, MA, Indigo has additional offices in Memphis, TN; Research Triangle Park, NC; Sydney, Buenos Aires, Argentina; Basel, Switzerland; and São Paulo, Brazil. 

The Data Intelligence team at Indigo captures, integrates, and visualizes complex scientific datasets to speed R+D and product development at Indigo.  We are looking for someone with experience in handling, integrating and visualizing complex data sets.  The candidate should also have experience in database design and in implementing quality control processes for experimental data including developing and training on tools for evaluating key performance indicators for data generating processes in the company. The ideal candidate will have experience with and strong interest in scientific data and empathy for customers working in R+D functions.


  • Work closely with internal teams (Data Intelligence, Data Science, Project Management, Automation and Software Engineering) to understand the structure of Indigo's databases, data needs and data pipeline automation capabilities of the organization
  • Become familiar with and contribute to our data infrastructure and processes
  • Collaborate with researchers and data scientists to ensure understanding data and data needs
  • Develop applications to enable scientists to make secure updates to our databases
  • Ensure database optimization, integrity, and consistency
  • Execute pipeline analyses and load databases
  • Review and update current documentation of databases
  • Assist with schema design, code review, and SQL query tuning
  • Provide assistance to others in topics related to data management and data visualization


  • Experience working in a fast-paced, quickly pivoting environment
  • Comfortable with ambiguity and challenging company goals
  • Strong desire to work on data cleaning, processes and execution to prepare data for analysts, data scientists and scientists
  • Interest in database/data visualization structure and function
  • Highly organized and self-motivated with the ability to prioritize projects and meet deadlines
  • An ability to think creatively about identifying and optimizing workflows
  • Attention to detail and creating detailed documentation
  • Willingness to learn new skills and take on complex projects
  • Demonstrates a team-oriented style
  • Possesses strong interpersonal, communication, and an outwardly positive demeanor
  • Communicates both positive and negative issues in an open, direct, and straight-forward manner


  • Bachelor’s degree + 4 years’ experience or Master’s degree + 2 years’ experience in computer science or related field
  • Highly proficient with SQL
  • Proficient with Python
  • Familiarity with the command line / unix shells
  • Proficient understanding of code versioning tools such as Git
  • Nice to haves:
    • Experience with BI visualization tools (e.g. Spotfire, Tableau, etc)
    • Experience coding python apps using Dash
    • Experience designing, building and managing normalized relational databases
    • Experience with R


Indigo is committed to living our values, specifically “creating a work environment where everyone feels respected, connected, and has opportunities to learn and grow.” As part of living our values, we strive to create a diverse and inclusive work environment where everyone feels they can be themselves and has an equal opportunity of succeeding.

Organization Type



Food & Agriculture

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