Data Engineer II

Summary

The Data Engineer III is responsible for building and maintaining infrastructure required for optimal data extraction, transformation, and loading (ETL) from a wide variety of data sources. This role involves developing and optimizing data pipelines, ensuring data flow and availability for data analytics and business intelligence activities. The Data Engineer collaborates with data scientists and analysts to understand data needs and deliver efficient solutions that support complex analytics and reporting.

Key responsibilities include designing and implementing scalable data architectures, managing data integration, and ensuring data quality and reliability. Proficiency in programming languages, database systems, big data technologies, and cloud platforms is essential for this role, as is a strong understanding of data modeling, ETL processes, and data warehousing.

• Design, develop, implement, and maintain highly scalable and secure data pipelines for complex data processing needs.
• Lead and mentor a team of data engineers, fostering a collaborative and high-performing environment.
• Champion technical innovation, identifying and implementing new technologies and solutions to improve data architecture and efficiency.
• Develop and maintain data architecture best practices, ensuring data quality, security, and scalability.
• Collaborate with Data Product Managers, analysts, business analysts, product managers, and senior leadership to understand business needs and translate them into technical solutions.
• Communicate complex technical concepts clearly and concisely to both technical and non-technical audiences.
• Develop and maintain technical documentation and code standards.
• Lead the evaluation, selection, and implementation of new data technologies and tools.
• Continuously monitor system performance, identify bottlenecks, and implement improvements to optimize data pipelines.
• Manage and reduce technical debt through strategic recommendations and code refactoring.

• Bachelor’s Degree in Computer Science Required.
• 5-7 years of professional experience in relevant programming languages required.
• Receives general guidance and direction from senior data engineers or data architects. Acts as a technical lead for junior engineers.
• Makes independent decisions on technical tasks and approaches. Owns the design and implementation of data solutions. Escalates strategic decisions to senior leadership.
• May interact with internal stakeholders (data analysts, business analysts, product managers) to provide technical guidance and lead solution discussions.

As a global insurance leader with a strong local presence, we offer more than a job — we provide a purpose-driven career where your growth, well-being, and impact truly matter.

Join a company built on trust, collaboration, and inclusion. Our values guide everything we do, creating a workplace where people feel respected and empowered.

Enjoy competitive health coverage, retirement plans, paid time off, flexible work options, and lifestyle perks like employee discounts.

Advance your skills through tuition reimbursement, leadership programs, and internal mobility opportunities. Your development is our priority.

Contribute to meaningful initiatives through Fundación Mapfre, supporting communities and sustainability worldwide.

The typical starting salary range for this role is determined by several factors including skills, experience, education, certifications, and location. Some roles at Mapfre are eligible for commission and/or bonus earnings, in addition to salary, calculated based upon factors set forth in the compensation plan for the role.

$100,000 - $160,000

If you require an accommodation for a disability so that you may participate in the selection process, you are encouraged to contact the Mapfre Insurance Talent Acquisition team at ta

We are proud to be an equal opportunity employer.