FBS – Farmer Business Services is part of Farmers operations with the purpose of building a global approach to identifying, recruiting, hiring, and retaining top talent. By combining international reach with US expertise, we build diverse and high-performing teams that are equipped to thrive in today’s competitive marketplace.

We believe that the foundation of every successful business lies in having the right people with the right skills. That is where we come in—helping Farmers build a winning team that delivers consistent and sustainable results.

Since we don’t have a local legal entity, we’ve partnered with Capgemini, which acts as the Employer of Record. Capgemini is responsible for managing local payroll and benefits.

What to expect on your journey with us:

• A solid and innovative company with a strong market presence

• A dynamic, diverse, and multicultural work environment

• Leaders with deep market knowledge and strategic vision

• Continuous learning and development

The Farmers Direct Tech Team supports the technical infrastructure and data operations of the Farmers Direct Business Unit. The team is responsible for architecting and maintaining scalable MarTech solutions, with a focus on; Data integration, Customer journey orchestration and Marketing automation. This team operates within the Data, Tech, and Operations tower of the Direct BU.

Responsibilities

• This role centers on the implementation and optimization of a MarTech data flow pattern involving Snowflake, Segment, Braze, and other SaaS platforms
• Design and maintain data pipelines between Snowflake, Segment CDP, Braze, and additional platforms
• Implement real-time and batch data ingestion strategies
• Manage customer event tracking and identity resolution within Segment
• Orchestrate personalized marketing campaigns in Braze using dynamic segmentation and behavioral triggers
• Ensure data integrity and feedback loops from Braze back into Snowflake via Segment
• Automate data transformations and enrichment using scripting languages
• Monitor system performance and troubleshoot integration issues across platforms

Requirements

• 3+ years of experience working with Python and SQL
• Experience performing data modeling and ETL processes
• Data Orchestration Platforms
• Customer Data Schema Design - Entry Level