FBS (Mexico) Data Engineer

Farmers Insurance Careers Mexico; México; On-site; MXN 900,000 - 1,400,000; Full time

Job summary

Farmers Insurance Careers Mexico in Mexico City is seeking a Senior Data Engineer to join the Life Data Platform (LDP) and Data Enablement team. You will design, build, and operate scalable data pipelines, models, and data products that empower reporting, analytics, and decision making across life insurance functions.

This role blends hands-on engineering with stakeholder collaboration, working with business partners, analytics teams, technology groups, and external vendors to deliver trusted

Qualifications

• 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.

Responsibilities

• 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.

Skills

Python

AWS Glue

PySpark

SQL Development

Data Warehousing

REST API Integration

Data Modeling & Data Analysis

Data Pipeline Development

Cloud Data Platforms

Education

Bachelor's degree in a technical, engineering, quantitative, or related discipline

Job description

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 us and 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.

Ready to make your mark? Discover Farmers’ vibrant culture and explore career opportunities at www.Farmers.com/careers/corporate.

Job Summary

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.

Key Responsibilities

• 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.

Required Qualifications

• 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.

Technical Skills

Required

• Python (4-6 years)
• AWS Glue
• PySpark
• SQL Development
• Data Warehousing
• REST API Integration
• Data Modeling & Data Analysis
• Data Pipeline Development
• Cloud Data Platforms

Preferred/Nice-to-have

• AWS ecosystem experience
• Data Catalog technologies
• 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.)
• Enterprise Data Integration
• Solution Design & Data Architecture
• Dimensional Modeling
• Query Performance Tuning

Business Knowledge

• Ability to partner effectively with technical and non‑technical stakeholders.
• Strong communication and stakeholder management capabilities.
• Experience translating business requirements into scalable technical solutions.
• Ability to lead technical discussions and provide subject matter expertise.
• Experience working within regulated industries preferred.
• Life Insurance industry experience is a strong plus.
• Ability to balance hands‑on engineering work with stakeholder engagement and project leadership.

Benefits

This position offers a competitive compensation and benefits package designed to support your wellbeing, growth, and work–life balance. While specific benefits may vary by country and employee level, offerings generally include competitive salary opportunities, performance‑based bonuses, comprehensive benefits, and ongoing training and development resources.

Important Hiring Conditions and Disclosures

By applying for this position, candidates acknowledge and agree that:

• Personal Data Processing: The personal data provided during the recruitment and selection process will be collected, processed, and retained for legitimate recruitment and compliance purposes, in accordance with applicable data protection and privacy laws and FBS internal policies.
• Legal Authorization to Work: Employment with FBS is conditional upon the candidate having valid, local legal authorization to work in the country where the role is based at the time of hire. FBS does not sponsor or obtain work authorization unless explicitly stated.
• Exclusivity of Employment and Conflict of Interest: Upon acceptance of an offer and during employment with FBS, employees will not be permitted to engage in parallel employment, professional activities, or paid work for other entities. Any ownership, partnership, directorship, or participation in other businesses or companies must be fully disclosed and formally reviewed in accordance with FBS internal conflict‑of‑interest and external engagement policies prior to the start date or as soon as such circumstances arise.

Failure to comply with these conditions may impact the hiring decision or employment continuation.

About Farmers Insurance

Farmers Insurance and "Farmers" are tradenames for a group of insurers providing insurance for automobiles, homes and small businesses and a wide range of other insurance and financial services products. Farmers Insurance Exchange, the largest of the three primary insurers that make up Farmers Insurance, is recognized as one of the largest U.S. companies on the 2025 Fortune 500 list. For more information about Farmers Insurance, visit Farmers.com.