Data Engineer: Analytics & Data Integration

Farmers Insurance; México; Hybrid; MXN 600,000 - 900,000; Full time

Job summary

Farmers Insurance is seeking a data analytics professional to design and implement moderately complex, data-centric solutions. You will collaborate with cross-functional teams, translate business needs into analytics requirements, and contribute to data integration and reporting initiatives.

You will work with IT and Product Management to ensure data quality, build scalable pipelines, and improve dashboards and platforms to support decision-making in a regulated, customer-focused environment.

Qualifications

• 3–5 years of related experience required.
• Demonstrated analytical and problem solving skills.
• Proficient in English written and verbal communication.
• Intermediate experience with SQL, dimensional modeling, pipeline orchestration, building data pipelines to transform data, and BI visualizations.

Responsibilities

• Design and implement moderately complex, data-centric analytics solutions that enable business outcomes.
• Collaborate with cross-functional teams to identify analytics requirements and deliver actionable insights.
• Create documentation and business plans for stakeholder needs and liaise between IT and Product Management for data solutions.
• Develop data integration strategies using data marts and data warehouses to enhance reporting and data quality.
• Improve data platforms, dashboards, and reports to meet evolving business needs and regulatory guidelines.

Skills

Analytical skills

Problem solving

English proficiency

SQL

Dimensional modeling

Data pipelines

BI visualizations

Education

High School Diploma

Bachelor's degree

Job description

Farmers Insurance is seeking a data analytics professional to design and implement moderately complex, data-centric solutions. You will collaborate with cross-functional teams, translate business needs into analytics requirements, and contribute to data integration and reporting initiatives.

You will work with IT and Product Management to ensure data quality, build scalable pipelines, and improve dashboards and platforms to support decision-making in a regulated, customer-focused environment.