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