Data Engineer III (Platform)

Summary:

Do you breathe Data and speak APIs? Do you believe that data should be democratized? Do you find elegance in simplicity? If so MAPFRE USA is looking for a self-motivated team player with a growth mindset to join the Data Engineering team as a Data Engineer. You will be part of the Data Engineering team and help MAPFRE in its transformation journey to become a true Data Driven Organization.

The Data Engineer is responsible for designing, developing, and optimizing data pipelines and backend services that power MAPFRE USA’s data platforms and analytical products. This role extends traditional data engineering by incorporating API development for data access, supporting the creation of secure, scalable, cloud‑native data services. You will work closely with Data Product Managers, Technical Product Managers, Solution Architects, and cross‑functional business partners to deliver high‑quality, well‑governed, production‑ready data assets.

Responsibilities:

• Build high quality cloud‑native data APIs to enable secure and scalable access to enterprise data assets.
• Collaborate with architects to design API integration patterns (event-driven, REST, GraphQL, CDC, streaming, etc.).
• Implement API observability, including logging, performance monitoring, and data contract enforcement and monetization.
• Mentor junior developers and team members.
• Implement scalable and flexible, high performance data pipelines in AWS to support analytics.
• Develop and maintain data maps and their relationships.
• Generate associated technical documentation including follow-up reports.
• Work with Data Governance to implement quality rules and data governance measures (data dictionary, metadata, traceability).
• Propose and drive improvements and actions based on provided results.
• Communicate results effectively with required teams.
  
  
  

Experience and Qualifications:

• Bachelor's Degree with 6 years of experience.
• Well versed in Python, Node.js, TypeScript and Java.
• System and Design thinking.
• Deep experience in building Data APIs, REST APIs and GraphQL.
• Experience with data pipelines in python and glue.
• Experience with MDM tools like Realtio, TAMR.
• Experience with automated test frameworks and tools.
• CI/CD and Orchestration: Jira, Jenkins, Github and Airflow.
• Past experience with data modeling tools, ETL tools (e.g. Informatica Power Center, Glue).
• Code IDE: Microsoft Visual Code, Github Copilot.
• Artificial intelligence, machine learning, and deep learning are a plus.
  
  
  

Why Mapfre?

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.

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

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

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

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

Pay Philosophy: 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.

Salary Range

$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 talentacquisition@mapfreusa.com.

We are proud to be an equal opportunity employer.