Senior Data Engineer

Number of employees

140

Chicago, IL, United States

Posted on: 2022-01-14

Category: renewables

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Expired

Employment type:

Full time

Experience required:

Senior

Salary

Salary not provided

About the company:

Nature’s Fynd is a Chi­ca­­go-based food com­pa­ny cre­at­ing ver­sa­tile alterna­tive pro­teins to nour­ish the world’s grow­ing pop­u­la­tion while nur­tur­ing the plan­et. Born out of research con­duct­ed for NASA on microbes in Yellowstone Nation­al Park, the company’s break­through tech­nol­o­gy pro­duces Fy™. Fy is a new-to-the-world, nutri­tion­al fun­gi protein that only uses a frac­tion of the resources required by tra­di­tion­al agri­cul­ture. We use Fy to make delicious, nutritious, and sustainable meat and dairy alternatives.

Nature’s Fynd is a groundbreaking food tech company born out of NASA-supported research on extremophiles in the geothermal pools of Yellowstone National Park. Our novel fermentation technology produces a sustainable source of complete protein using only a fraction of the resources required by traditional agriculture. As the challenge to feed the world’s expanding population grows, our mission is to create amazing foods and materials that provide sustainable choices and nurture the planet.

We’re looking for passionate, driven, and ambitious people to join our fast-growing team.

The Senior Data Engineer will work with our Data Science and IT team to build robust data collection, storage and analytics infrastructure for our novel mycoprotein manufacturing process and alternative protein food product development. This is an opportunity to develop your technical and leadership skills while making a positive impact on the planet. Our operations are scaling rapidly, and there are many greenfield opportunities for high-level decision-making with significant business impact - the ideal candidate will be an individual looking for a challenging but rewarding environment where they will have strong ownership of their day-to-day activities and of our technical roadmap. Individuals applying for this position must be self-starters, flexible in an environment of shifting priorities, and take strong end-to-end ownership of their work products. Experience with specific technologies is not an absolute prerequisite, but we work primarily with GCP, Google Workspace APIs, Python ETL pipelines and Tableau. A background in biology, chemistry or related field is helpful, but not necessary. Join us as we build a lean and modern data and analytics platform for a brand new industry!

Responsibilities

  • Work closely with our teams to build, document and maintain dashboards, apps, and other data solutions
  • Act as lead architect of our enterprise data warehouse
  • Assist with data modeling and database management
  • Build data pipelines to collect, clean, store and transform data from structured and unstructured sources
  • Design systems for data distribution with well-governed access controls; assist with cloud identity management
  • Act as an evangelist for good data management and data governance practices; help codify and document best practices
  • Provide advanced spreadsheet support for complex models and applications
  • Required Skills

  • Excellent data modeling and SQL skills
  • 3+ years writing production ready ETL pipelines, preferably in Python and pandas
  • Familiarity with Google Cloud Platform, particularly Compute Engine, Cloud SQL, and BigQuery
  • Familiarity with orchestration and ETL platforms such as Databricks and/or Apache Airflow
  • Experience prototyping data-intensive apps in Google Sheets and Excel, and incorporating spreadsheets into broader data infrastructure
  • Working knowledge of UNIX and shell scripting
  • Experience with version control systems such as Git
  • Experience with BI tools, such as Tableau, Power BI, or others
  • Strong aptitude for software and IT project and product management
  • Nice to Have

  • Background in biotech-related field or exposure to the biotech and CPG industries
  • Experience with advanced developer tools (Docker / Kubernetes) and test-driven development
  • Specific experience with Ignition (SCADA) and Oracle NetSuite are strong pluses
  • Experience normalizing large IOT/sensor datasets
  • Experience with Big Data platforms including Hadoop and Spark
  • Education

  • Bachelor’s Degree + 5 years or Master’s + 3 years in Computer Science, Management Information Systems, or related field
  • Special Position Requirements

  • Comfortable working in a startup environment, embrace entrepreneurship, and have enthusiasm for innovation
  • Emphasize personal transparency and accountability
  • Self-motivated with the ability to work independently & with a team
  • Ability to manage workflow for multiple projects and tasks
  • Detail-oriented, organized, and capacity to meet deadlines
  • Excellent analytical thinking, interpersonal, oral, and written communication skills
  • Exhibit a strong sense of professional and personal integrity
  • Inherent curiosity and creativity in solving problems to understand how things work
  • Ability to handle and maintain the confidentiality of highly sensitive information
  • Versatility, flexibility, and willingness to work enthusiastically within changing priorities
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    Number of employees

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