Job Information
MAPFRE Insurance Data Engineer Sr. in Webster, Massachusetts
Data Engineer Sr.
Date: Feb 17, 2026
Location:
Webster, MA, US
Company: MAPFRE
Summary:
Do you think in Python and speak in SQL? Do you appreciate a good data model as much as a masterpiece in a museum? Are you energized by solving complex problems and leading technical innovation, all while having fun? Do you thrive in a collaborative environment and enjoy mentoring others? Do you strive for simplicity and elegance in your solutions, even when building at scale?
If so, Mapfre is looking for a Senior Data Engineer to join our agile Data Engineering team, building sophisticated data products for advanced data consumers. As a Senior Data Engineer, you’ll architect and deliver high-impact solutions using modern tools and technologies, work closely with data architects and stakeholders, and help transform Mapfre USA into a truly data-driven organization.
Responsibilities:
Architect and implement scalable, secure data solutions using cloud and big data technologies.
Lead the design and development of advanced ETL processes and data models.
Integrate systems and technologies across cloud and on-premise platforms.
Troubleshoot and resolve complex data pipeline issues, ensuring data quality and integrity.
Collaborate with stakeholders to translate business requirements into technical solutions.
Mentor and guide junior engineers, fostering a collaborative learning environment.
Continuously monitor system performance and implement improvements.
Identify opportunities for automation and optimization within data pipelines.
Develop and maintain technical documentation and code standards.
Lead delivery of data solutions following SRE and TDD practices.
Experience and Qualifications:
Bachelor’s Degree in Computer Science or related field, with 6+ years of experience in data engineering.
Advanced knowledge and hands-on experience with:
Programming: Python, PySpark, Spark
Workflow & Orchestration: Airflow, Jenkins, Terraform, Jira, Bitbucket
Cloud Platforms: AWS (Athena, EMR Studio), Snowflake
Database Architectures: SQL, NoSQL, graph databases
Data Modeling & ETL Tools: Informatica Power Center, multidimensional modeling
Data Query & Transformation: Jupyter notebooks, AWS Athena
Operating Systems: Linux, MS Windows
Code IDEs: Microsoft Visual Studio Code, Jupyter notebooks
Experience with algorithm analysis and collaborating with Data Scientists.
Strong understanding of quantitative and fact-based data storage.
Exposure to artificial intelligence, machine learning, and deep learning is 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
$145,000 - $185,000
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.
Nearest Major Market: Worcester
Job Segment: Data Modeler, SQL, Database, Computer Science, Recruiting, Data, Technology, Human Resources
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