Technology is the next frontier of change in Agriculture and will be central to delivering step changes in sustainability and food productivity. Farmers can now control and gather information from equipment like tractors, applicators, satellites, drones, and field sensors remotely and in “real-time” using PCs, Tablets, and smartphones. This variety and depth of data rivals any industry, providing opportunities for financial, scientific, and geospatial analysis to predict outcomes and make recommendations like never before.
By joining Wilbur-Ellis’ digital team, you’ll be challenged with delivering human-centered technology solutions that are changing the industry. You’ll operate as a lean tech start-up within a company where you can chart your own path in a people-first work environment. Come grow with us!
General Purpose and Scope of Position:
The Senior Data Engineer is responsible for building quality data pipelines driving analytic solutions. These solutions will generate insights from the Farmer's connected data, enabling the Farmer to advance the data-driven decision-making capabilities of their operation. This role requires a deep understanding of data architecture, data engineering, data analysis, reporting, and a basic understanding of data science techniques and workflows. The ideal candidate is a skilled data/software engineer with experience creating data products supporting analytic solutions. They are an Agile learner, possess strong problem-solving skills, work as part of a technical, cross-functional analytics team, and want to solve complex data problems and deliver the insights to enable analytics strategy.
Key Skills and Abilities Include:
Key Personal Attributes Include:
Specific Responsibilities and Key Deliverables Include:
Compensation and Benefits:
If you are currently a Wilbur-Ellis employee, please notify your Manager prior to applying for this position. Thank you!
COMPANY CULTURE
Wilbur-Ellis is a company you can be proud to call your employer
Wilbur-Ellis markets and distributes agricultural products, animal feed, specialty chemicals, and food ingredients. A privately held and consistently profitable company, we employ more than 4,000 people throughout North America and Asia-Pacific.
Wilbur-Ellis is for and about people
Wilbur-Ellis has enjoyed over 100 years of success and growth, all thanks to our people. Our employees are both leaders and team players who thrive on creativity, entrepreneurial spirit, dedication to quality work, our customers, and each other.
Wilbur-Ellis invests in the industry's best workforce
Wilbur-Ellis invests heavily in our employees by offering skill development and training, competitive compensation and benefits, and a tradition of promoting from within for a broad range of career opportunities. And we foster a supportive, people-first work environment.
data engineer SQL analysis data architecture Python Scala cloud based technology BigQuery Hadoop cloud computing Tableau Power BI Looker Shiny data products data scientist advises coach data engineer SQL analysis data architecture Python Scala cloud based technology BigQuery Hadoop cloud computing Tableau Power BI Looker Shiny data products data scientist advises coach data engineer SQL analysis data architecture Python Scala cloud based technology BigQuery Hadoop cloud computing Tableau Power BI Looker Shiny data products data scientist advises coach data engineer SQL analysis data architecture Python Scala cloud based technology BigQuery Hadoop cloud computing Tableau Power BI Looker Shiny data products data scientist advises coach data engineer SQL analysis data architecture Python Scala cloud based technology BigQuery Hadoop cloud computing Tableau Power BI Looker Shiny data products data scientist advises coach data engineer SQL analysis data architecture Python Scala cloud based technology BigQuery Hadoop cloud computing Tableau Power BI Looker Shiny data products data scientist advises coach data engineer SQL analysis data architecture Python Scala cloud based technology BigQuery Hadoop cloud computing Tableau Power BI Looker Shiny data products data scientist advises coach data engineer SQL analysis data architecture Python Scala cloud based technology BigQuery Hadoop cloud computing Tableau Power BI Looker Shiny data products data scientist advises coach data engineer SQL analysis data architecture Python Scala cloud based technology BigQuery Hadoop cloud computing Tableau Power BI Looker Shiny data products data scientist advises coach data engineer SQL analysis data architecture Python Scala cloud based technology BigQuery Hadoop cloud computing Tableau Power BI Looker Shiny data products data scientist advises coach