Data Engineer III

MAPFREWebster, MA
40d

About The Position

Do you think in Python and dream in SQL? Are you fascinated by the beauty of a well-designed data pipeline? Are you eager to learn, solve real-world problems, and grow your skills while having fun? Are you a team player who values collaboration and simplicity in your work?   If so, MAPFRE USA is looking for a Data Engineer to join our dynamic Data Engineering team. As a Data Engineer, you’ll be part of an agile group delivering value with modern tools and technologies. You’ll work alongside experienced engineers and stakeholders, gaining hands-on experience and helping MAPFRE USA on its journey to becoming a data-driven organization.

Requirements

  • Bachelor’s Degree in Computer Science or related field, with 1–3 years of experience in data engineering or relevant internships.
  • Working knowledge of:
  • Programming: Python, Spark, PySpark
  • Workflow & Orchestration: Airflow, Jira
  • Cloud Platforms: AWS, Snowflake (basic exposure)
  • Database Architectures: SQL, NoSQL 
  • Data Modeling & ETL Tools: Informatica Power Center (exposure preferred)
  • Data Query & Transformation: Jupyter notebooks, AWS Athena
  • Operating Systems: Linux, MS Windows
  • Code IDEs: Microsoft Visual Studio Code, Jupyter notebooks
  • Eagerness to learn algorithm analysis and collaborate with Data Scientists.
  • Interest in multidimensional modeling and quantitative data storage.

Nice To Haves

  • Curiosity about artificial intelligence, machine learning, and deep learning is a plus.

Responsibilities

  • Assist in building and maintaining data extraction, transformation, and loading (ETL) processes.
  • Support the development of scalable data architectures and integration of data sources.
  • Collaborate with data scientists and analysts to understand data needs.
  • Test coded solutions and ensure quality before deployment.
  • Communicate clearly with team members and stakeholders.
  • Apply critical thinking to analysis, planning, and implementation of business initiatives.
  • Follow DevOps best practices and Agile methodologies.
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