FBS; Mexico) Data Engineer

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36450

Farmers– where ambition meets opportunity.

Farmers is known for more than its unforgettable jingle – it’s a team with a passion for purpose and making a real difference in people’s lives. Farmers employees deliver peace of mind when it matters most. The organization’s results-driven, high-performance culture thrives on creativity, accountability and bold solutions. Here, growth isn’t just a goal – it’s a way of life for both the organization and every individual on the team.

Farmers employees tackle challenges head‑on, learn from every experience and measure their impact on the customers who trust them.

Join usand help power the success of Farmers. As a team member, you’ll collaborate with Farmers’ award‑winning workforce, benefit from a culture of innovation and support and contribute to their mission of delivering protection and peace of mind to millions of U.S. customers.

The Life Data Platform (LDP) & Data Enablement team is responsible for acquiring, integrating, governing, modeling, and publishing enterprise data across on‑premises and cloud platforms. The team enables trusted, scalable, and business‑ready data products, analytics, reporting, and operational insights for Life Insurance functions through modern cloud‑based data technologies and data engineering practices.

The Data Engineer will be responsible for designing, developing, and supporting scalable data pipelines, data models, and enterprise data products that drive reporting, analytics, and operational business capabilities. This role combines hands‑on data engineering with stakeholder engagement, working closely with business partners, analytics teams, technology teams, and external vendors to deliver high‑quality data solutions and establish a trusted source of enterprise data.

• Design, develop, and maintain scalable data pipelines and data integration solutions.
• Build and support enterprise data products for analytics, reporting, and operational use cases.
• Develop and maintain data models, data warehouses, and dimensional modeling solutions.
• Integrate data from internal systems, cloud platforms, APIs, and third‑party vendors.
• Collaborate with business stakeholders to gather requirements and translate business needs into technical solutions.
• Ensure data quality, governance, reliability, and consistency across platforms.
• Optimize SQL queries and data processing performance.
• Support cloud‑based data platforms and modern data engineering frameworks.
• Partner with external vendors and cross‑functional teams to deliver successful data initiatives.
• Provide technical leadership, mentoring, and guidance on data engineering best practices.
• Support project planning, estimation, and execution in Agile environments.
• Drive continuous improvements in data architecture, automation, and data platform capabilities.

• 7–9 years of total professional experience.
• 4–6+ years of experience in Data Engineering, Analytics Engineering, Data Integration, or related disciplines.
• Fluent English (written and verbal).
• Bachelor's degree in a technical, engineering, quantitative, or related discipline preferred.
• Experience working in cloud‑based data environments.
• Strong stakeholder management and communication skills.

Required:

• Python (4-6 years)
• AWS Glue
• Py Spark
• SQL Development
• Data Warehousing
• REST API Integration
• Data Modeling & Data Analysis

Preferred/Nice-to-have:

• AWS ecosystem experience
• Experience with Life Insurance data environments
• Experience supporting analytical and operational data products
• Experience working with external vendors and TPAs
• Cloud or Data Engineering certifications (AWS, Azure, Snowflake, Databricks, Dremio, GCP, etc.)
• Dimensional Modeling
• Quer…