Data Engineer

Agrovision is a global food company disrupting the traditional produce category by inspiring nutritious and enjoyable snacking. Our berries delight consumers in every bite, offering unmatched flavor, size, and quality. Through our leading brand, Fruitist, we’re setting a new standard in the berry category, with a signature taste, jumbo size, and reliable quality that consumers love.

What sets Agrovision apart is our innovative, fully integrated operating model that redefines how berries are grown, harvested, and delivered. Unlike traditional systems, where fragmented value chains hinder consistency and innovation, our approach ensures quality from farm to table. We call it putting an end to "berry roulette"—the inconsistent quality and supply that frustrate both consumers and retailers. By leveraging cutting-edge technology and a relentless focus on excellence, we’re not just growing berries; we’re creating a global movement of premium berry enthusiasts, with a year-round supply of the freshest, tastiest berries in the world.

At Agrovision, we’re harnessing the power of data to revolutionize sustainable agriculture, and we’re looking for Data Engineers to help lead the way. Reporting to the Head of Engineering, you’ll design, build and optimize data pipelines and analytics working on solution teams leading delivering operationally critical insights to end-users globally. Working closely with cross-functional teams, you'll ensure clean, structured data, of the highest integrity is available for consuming applications and direct end-users. With a focus on automation and accessibility, you'll optimize workflows, identify gaps, and improve data maturity. This role requires experience in data architecture, engineering, analysis, and data science workflows, all applied to transforming large amounts of data into accessible and usable data products for the business. This role is remote, with priority given to those who reside in Chicago, Boston, New York, Dallas or Miami.

What You’ll Do

• Collaborate with data scientists to ensure high-quality, accessible data for analytical and predictive modeling
• Design and implement data pipelines (ETL’s) tailored to meet business needs and digital/analytics solutions
• Enhance data integrity, security, quality, and automation, addressing system gaps proactively
• Support pipeline maintenance, troubleshoot issues, and optimize performance
• Lead and contribute to defining detailed scalable data models for our global operations
• Ensure data security standards are met and upheld by contributors, partners and regional teams through programmatic solutions and tooling

What You’ll Need

• BS/MS degree in Computer Science, Engineering (Mathematics and Statistics background is a plus)
• Experience with RDBMS (e.g., Teradata, MS SQL Server, Oracle) in production environments is preferred
• Hands-on experience in data engineering and databases/data warehouses
• Familiarity with Big Data platforms (e.g., Hadoop, Spark, Hive, HBase, Map/Reduce)
• Expert level understanding of Python (e.g., Pandas)
• Proficient in shell scripting (e.g., Bash) and Python data application development (or similar)
• Excellent collaboration and communication skills with teams
• Strong analytical and problem-solving skills, essential for tackling complex challenges
• Experience working with BI teams and tooling (e.g. PowerBI), supporting analytics work and interfacing with Data Scientists