Data Engineer I

About Pivot Bio:  

At Pivot Bio, we are working together to transform agriculture, finding smarter, more sustainable and, ultimately, more profitable ways for farmers to grow. Working with and for farmers, we’re using cutting-edge science to create a microbial nitrogen for the world’s most vital crops. We are replacing synthetic fertilizers with a more sustainable, nature-driven plant nutrition that benefits farmers, consumers and the planet.

As a Data Engineer I at Pivot Bio, you will play a key role in making data actionable at all levels of the organization as part of our Data Operations / Data Platform team supporting company data functions. This person will interact with a variety of teams across the company to create and manage data through its lifecycle. 

Responsibilities:  

• Develop tools and processes that increase efficiency, integrity, and accuracy throughout the data lifecycle by writing and maintaining high-quality, robust, and well-documented code 
• Develop, curate, and maintain data and data pipelines for product research and development efforts 
• Design and implement normalized database and denormalized data warehouse schemas 
• Collaborate with cross-functional teams to facilitate quality data acquisition practices where needed  
• Participate in code reviews and provide constructive feedback to peers 
• Handle support requests and debug issues 
• Help make data accessible to non-technical stakeholders through the creation of front-end tools and visualization dashboards  
• Interact with fit-for-purpose software applications used for lab information management or agricultural trial management 

 Physical Demands: 

• Job will involve mostly (95%) office work with occasional (5%) time spent in the field or in-person meetings to understand processes 
• Repeating motions that may include the wrists, hands, or fingers 
• Sedentary work that primarily involves sitting/standing 
• Communicating with others to exchange information 

 Qualifications and Experience:  

• Bachelors degree in STEM with 2+ years of relevant experience in data engineering, data science, data stewardship and research or production agriculture or an equivalent amount of relevant experience. 
• Proficiency with Python and SQL (R is a plus) with demonstrated experience (e.g. coursework or Github portfolio), experience with REST APIs, and manipulating databases in a user-oriented environment  
• Experience navigating data ecosystems (e.g. databases, data lakes)  
• Familiarity with data management infrastructure such as Databricks, Snowflake, AWS, or other pipeline management tools   
• Strong attention to detail and orientation to process  
• Great communication skills 
• Travel up to 5% of the time for visits to field trial sites, customer sites  

 *Must be authorized to work in the United States* 

What we offer: 

• Competitive package in a disruptive startup 
• Stock options 
• Health/Dental/Vision insurance with employer-paid premiums 
• Life, Short-Term and Long-Term Disability policies 
• Employee Assistance Program with free referrals and discounts 
• 401(k) plan, 3% Match 
• Commuter benefits 
• Annual Training & Development support 
• Flexible vacation policy with a generous holiday schedule 
• Exciting opportunity to work with a talented and fun team

*Internal employees, please apply by clicking on the Internal Job Board icon on NSIDER