Data Engineer Sr.

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.