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Data Engineer

Passfort
Heredia Province, Costa RicaPosted Aug 7, 2026
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Data Engineer

Moody's Corporation Heredia, Heredia, Costa Rica

Data Engineer

Moody's Corporation Heredia, Heredia, Costa Rica Hace 1 día Sé de los primeros 25 solicitantes

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At Moody's, we unite the brightest minds to turn today’s risks into tomorrow’s opportunities. We do this by striving to create an inclusive environment where everyone feels welcome to be who they are—with the freedom to exchange ideas, think innovatively, and listen to each other and customers in meaningful ways. Moody’s is transforming how the world sees risk. As a global leader in ratings and integrated risk assessment, we’re advancing AI to move from insight to action—enabling intelligence that not only understands complexity but responds to it. We decode risk to unlock opportunity, helping our clients navigate uncertainty with clarity, speed, and confidence.

If you are excited about this opportunity but do not meet every single requirement, please apply! You still may be a great fit for this role or other open roles. We are seeking candidates who model our values: invest in every relationship, lead with curiosity, champion diverse perspectives, turn inputs into actions, and uphold trust through integrity.

Skills And Competencies

  • 3-5 years of experience building scalable data applications using Apache Spark (Scala preferred; Python also acceptable) and hands-on work with Databricks in cloud environments (AWS preferred), combined with strong SQL skills for data transformation and querying
  • Solid understanding of distributed computing concepts, including data partitioning and performance optimisation, along with experience handling modern data formats such as Parquet, Delta Lake, and JSON
  • Knowledge of graph data structures, clustering techniques, similarity approaches, and familiarity with statistical methods such as TF-IDF and similarity metrics
  • Proficiency in version control and build tools, including Git, Gradle, Maven, or SBT
  • Strong awareness of code quality, maintainability, and testing practices, with hands-on experience using frameworks such as ScalaTest or JUnit, and contributing to unit and integration testing approaches
  • Ability to leverage AI-assisted development tools to enhance productivity and support development tasks, supported by strong analytical and problem-solving skills
  • Effective communication and collaboration skills within cross-functional teams, along with a willingness to learn new technologies and continuously develop engineering expertise
  • Basic understanding of artificial intelligence concepts, with curiosity and enthusiasm for learning how AI tools can be used to improve processes and drive efficiency. Interest in exploring AI systems and a willingness to develop awareness of responsible AI practices, including risk management and ethical use

Education 

  • Bachelor’s or Master’s degree in Computer Science, Information Technology, or a related field
  • Equivalent practical experience will also be considered 

Responsibilities 

The Data Engineer will support the design, development, and optimization of data pipelines and data processing solutions within a scalable data engineering environment

  • Support the design and development of scalable Spark-based data pipelines for processing large volumes of data, including implementing parsing, normalization, and standardization logic across datasets
  • Build and maintain ETL workflows ingesting data from sources such as Delta Lake, Parquet, and S3, ensuring efficient and reliable data processing
  • Contribute to data quality checks, validation processes, and incremental processing approaches to maintain data integrity
  • Assist in developing graph-based analytics and entity resolution workflows, applying clustering, similarity approaches, and statistical methods
  • Write and maintain unit and integration tests, supporting overall reliability, code quality, and adherence to engineering best practices
  • Support monitoring and troubleshooting of data pipelines, while participating in code reviews and contributing to continuous improvement initiatives
  • Collaborate effectively with cross-functional teams (Product, Data Science, Engineering), document data flows and technical solutions, and demonstrate strong analytical, problem-solving, communication skills, and willingness to learn new technologies

About The Team

Join our Data Engineering team, responsible for building scalable data pipelines across Change Data Capture, Entity Resolution, and Data Mastering. You will work on large-scale data challenges in a collaborative environment, contributing to high-quality data solutions and developing your technical capabilities. The team is embracing a more AI-enabled way of working, with a focus on automation, insight generation, and continuous innovation

Moody’s is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, protected veteran status, sexual orientation, gender expression, gender identity or any other characteristic protected by law.

Candidates for Moody's Corporation may be asked to disclose securities holdings pursuant to Moody’s Policy for Securities Trading and the requirements of the position. Employment is contingent upon compliance with the Policy, including remediation of positions in those holdings as necessary.

  • Nivel de antigüedad

    Intermedio

  • Tipo de empleo

    Jornada completa

  • Función laboral

    Tecnología de la información

  • Sectores

    Servicios financieros

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