Data Platform Engineer II/III

Mapfre

Webster (MA)

On-site

USD 105,000 - 155,000

Full time

8 days ago
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Job summary

Mapfre USA is seeking a passionate Cloud Platform Engineer to join our Data Engineering team. You will help build and refine a scalable data platform, enabling advanced data products for diverse consumers.

Collaborate with the data architect, engineers, and stakeholders to transform Mapfre into a data-driven organization. You will work in an agile environment, delivering value with modern tools, focusing on simplicity, security, and performance.

Qualifications

  • Bachelor's degree with 6+ years of experience.
  • Experience with SQL/NoSQL and Snowflake.
  • CI/CD and orchestration tools: Jira, Jenkins, GitHub, Bitbucket, Terraform, Airflow.
  • Ingestion, transformation, and orchestration: Airflow, Glue, or EMR.
  • Strong problem-solving and analytical skills.
  • Cross-functional teamwork (Dev, Ops, Security).
  • Excellent communication and documentation skills.
  • Optimize cloud costs.

Responsibilities

  • Deep understanding of core AWS services and architectures.
  • Automate infrastructure provisioning using IaC tools.
  • Work with CI/CD pipelines and security integrations.
  • Collaborate with data architects and stakeholders to drive data platform initiatives.
  • Ensure compliance and best-practice security in cloud deployments.
  • Participate in incident response and threat modeling.

Skills

AWS services
CI/CD
Python scripting
Security best practices
Containerization
Monitoring
IAM least privilege
Threat modeling

Education

Bachelor's Degree

Tools

Jenkins
GitHub Actions
Terraform
Ansible
Docker
Kubernetes
Airflow
Glue

Job description

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Are you excited by the prospect of shaping a state-of-the-art cloud data platform that powers AI and analytics on scale? Do you admire the elegance of a well-secured, high-performing, and ever-evolving infrastructure, much like admiring an F1 race car? If the idea of tackling challenging cloud infrastructure puzzles and having fun doing it resonates with you, then we want to talk.

Mapfre is looking for a passionate Cloud Platform Engineer to join our innovative Data Engineering team. In this role, you'll play a key part in building and refining a powerful data platform, enabling the creation of advanced data products for our sophisticated consumers. If you thrive in a collaborative environment and your solutions are driven by simplicity, elegance, and ingenuity, we'd love to learn more about you.

As an Engineer you will be a part of an agile team delivering value. Using modern tools and technologies. You will work closely with the data architect and stakeholders and help MAPFRE USA transform into a data driven organization.

Responsibilities

  • Deep understanding of core AWS services: EC2, S3, IAM, VPC, Lambda, CloudTrail, CloudWatch, ECS/EKS, RDS, etc.
  • Automate infrastructure provisioning using Infrastructure as Code (IaC) tools like AWS CloudFormation or Terraform.
  • Knowledge of AWS and networking concepts: VPC, subnets, NAT gateways, security groups, routing tables.
  • Proficiency in CI/CD tools: Jenkins and GitHub Actions.
  • Experience with configuration management: Ansible, Chef, or Puppet.
  • Strong scripting and programming skills: Python, Bash, or PowerShell.
  • Familiarity with DevSecOps practices, integrating security into CI/CD pipelines.
  • Experience with security scanning tools: Snyk, Trivy, Checkov, AWS Inspector.
  • Knowledge of identity and access management (IAM) and least privilege principles.
  • Understanding of compliance frameworks: NIST, CIS Benchmarks, SOC 2, HIPAA, GDPR.
  • Experience with containerization (Docker) and orchestration (e.g., ECS, EKS, Kubernetes).
  • Proficiency with monitoring/logging tools: AWS CloudWatch, CloudTrail, ELK Stack, Prometheus/Grafana, Dynatrace.
  • Experience with SIEM tools: Splunk, AWS Security Hub, GuardDuty.
  • Ability to conduct threat modeling, vulnerability assessments, and incident response.

Experience and Qualifications

  • Bachelor's Degree with 6+ years of experience.
  • Database architectures: SQL, NoSQL, Snowflake, graph databases
  • CI/CD and Orchestration: Jira, Jenkins, GitHub, Bit Bucket, Terraform, and Airflow
  • Familiar with ingestion, transformation, and orchestration tools like Airflow, Glue, or EMR.
  • Strong problem-solving and analytical skills.
  • Ability to work in cross-functional teams (Dev, Ops, Security).
  • Excellent communication and documentation skills.
  • Optimize system performance and cloud costs.
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: $105,000 - $155,000

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: Recruiting, Database, Data Architect, SQL, Inspector, Human Resources, Technology, Data, Quality

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