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FBS (Mexico) - Associate Analytics Engineer (USFITFU)

37058

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

Seeking a highly skilled and motivated data engineer to join Analytics Engineering team within the Service Analytics and AI organization. This role is pivotal in designing, building, and maintaining scalable data pipelines and analytics solutions that empower Advanced Analytics, Business Intelligence, and Data Science initiatives. You will play a crucial role in building a semantic data layer, defining and implementing cutting-edge data products, and delivering innovative AI-driven solutions that fuel business growth and enhance customer experience.

Essential Job Functions

Data Pipeline Development: Development, and deployment of scalable and robust data pipelines, ensuring seamless data integration and processing across diverse systems.
Code Quality and Review: Participate in code reviews, provide constructive feedback, and contribute to the team's continuous improvement in coding practices and methodologies.
ETL/ELT Development: Design, build, and maintain robust ETL/ELT pipelines, reusable frameworks, and libraries to process and transform data from diverse sources, ensuring accuracy, quality, and consistency.
Automation and CI/CD: Implement CI/CD pipelines to streamline the deployment, testing, and maintenance of analytics engineering processes.
Cross-functional Collaboration: Partner with data scientists, engineers, analysts, product managers, and business stakeholders to understand requirements
SQL & Data Engineering: SQL development, query optimization, complex transformations, and large-scale data processing.
Hands-on experience designing and developing enterprise-scale data solutions using Snowflake including performance tuning, data sharing, tasks, streams, and modern platform capabilities.
Experience building scalable transformation frameworks, reusable business logic, testing, documentation, and deployment pipelines using dbt.
Star schemas, conformed dimensions, historical tracking, KPI frameworks, and analytical data models.
Data quality, lineage, metadata management, testing, observability, and model lifecycle management.
Experience delivering data products within Agile product teams and modern cloud environments.

Physical Actions

Physical Environment

Education Requirements

Experience Requirements

2+ years of experience working as an Analytics Engineer or equivalent
Hands-on experience with SQL, SQL Server and, Python.
Proven experience in designing and building scalable data pipelines.
Expertise in ETL/ELT processes, data modeling, and integration of data from multiple sources into a data warehouse.
Problem-solving and analytical skills, with the ability to work effectively in a collaborative environment.

Special Skill Requirement

Additional Qualification

Experience working with SnowFlake & DBT
Knowledge on orchestration tools like AirFlow

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.

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