Large-scale US egg producer modernizing data infrastructure and farm operations
Versova is one of the largest US egg producers, operating a 1,000+ person vertically integrated business across production, feed optimization, animal health, and logistics. The tech stack is enterprise-standard (Azure, AWS, Snowflake, Power BI) but the project list reveals active transformation: data architecture overhaul, automation of manual reporting, and modern data platform deployment sit alongside core farm-science work (nutrition research, feed-cost optimization, disease surveillance). The hiring velocity is accelerating across analytics, operations, and logistics—matching the operational complexity of scaling compliance, feed logistics, and flock health protocols across distributed production.
Versova is a family-owned egg producer founded in 2016 and headquartered in Sioux Center, Iowa. The company operates multiple egg farms and produces both shell eggs and liquid egg products for retail, food-service, and industrial customers across the US. Versova combines six decades of farming knowledge (inherited through predecessor operations) with formal animal-care training, environmental compliance programs, and food safety standards. The operational surface spans flock genetics and nutrition (pullet and layer programs), feed-formula optimization, disease and vaccination protocols, and logistics-to-customer supply chains. Recent strategic focus has shifted toward data modernization and operational automation—critical given the regulatory, cost, and quality pressures in commercial egg production.
Versova uses Azure and AWS for cloud infrastructure, Snowflake for data warehousing, Power BI for analytics and reporting, and SQL for data queries. Core IT is Windows Server, Active Directory, and VMware virtualization. Desktop tooling includes Office, PowerShell scripting, and Adobe Acrobat.
Versova is headquartered in Sioux Center, Iowa. The company is privately held and operates multiple egg-production facilities across the United States.
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