Data Engineer Jobs

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Data Engineer III (Platform)

MAPFREWebster, MA
$100,000 - $160,000Hybrid

About The Position

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.

Requirements

  • 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.

Nice To Haves

  • Artificial intelligence, machine learning, and deep learning are a plus.

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.

Benefits

  • competitive health coverage
  • retirement plans
  • paid time off
  • flexible work options
  • employee discounts
  • tuition reimbursement
  • leadership programs
  • internal mobility opportunities

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