Junior Data Engineer — ETL

Santo Domingo, Dominican Republic

• On-site

We are looking for a Junior Data Engineer with hands-on experience in ETL processes, particularly using Java, along with working knowledge of Python.

The successful candidate will support data integration, transformation, and processing workflows, helping maintain reliable and efficient data flows across systems.

What You'll Do

• Develop, support, and document ETL (Extract, Transform, Load) processes.
• Work with Java on data integration and data transformation-related processes.
• Use Python for data processing, scripting, validation, and related tasks.
• Support the integration of data from different sources, systems, files, databases, or APIs.
• Help identify and troubleshoot data processing, data quality, and transformation issues.
• Document technical processes, assumptions, dependencies, and solutions clearly.
• Collaborate with team members on technical and data requirements.
• Communicate with clients in English when required.

What We're Looking For

• Hands-on experience or strong academic/project exposure working with ETL processes.
• Experience using Java, particularly in data integration, backend, automation, or data processing contexts.
• Working knowledge of Python for data processing, scripting, or automation.
• Ability to understand data transformation and integration workflows.
• Strong analytical thinking, problem-solving ability, and attention to detail.
• Ability to document work clearly and follow structured technical procedures.
• Conversational English sufficient to communicate clearly and effectively with clients.
• Availability to work on-site in Santo Domingo, Dominican Republic.

Perfect or native-level English is not required. We are looking for someone who can understand, respond, and communicate effectively with clients in a professional environment. Nice to Have

• Experience with databases and SQL.
• Exposure to ETL or data integration tools.
• Knowledge of APIs, system integrations, flat files, data pipelines, or batch processes.
• Familiarity with Git/GitHub and version control practices.
• Academic, personal, or professional projects related to data engineering, Java, Python, ETL, or data integration.

Why You May Be Selected

Candidates may be selected for this opportunity if they can demonstrate practical technical curiosity, structured problem-solving, and the ability to work carefully with data flows, code, and documentation.

This position is ideal for someone who enjoys understanding how data moves between systems, can follow and improve technical processes, and is ready to grow into a stronger data engineering role through real project exposure.

How to Apply

• Your updated CV or professional resume.
• A short summary explaining why your technical experience, projects, and interests make you a strong fit for this specific vacancy.
• Your LinkedIn profile.
• Your GitHub profile or portfolio, including repositories or projects that demonstrate relevant experience with Java, Python, ETL, data integration, APIs, SQL, or related technologies.
• Updated contact information, including email and phone number.

Work Arrangement

This position is initially 100% on-site in Santo Domingo, Dominican Republic.

After the first few months, a hybrid arrangement may be considered at the company's discretion, based on demonstrated performance, reliability, accountability, and level of responsibility.

A future hybrid arrangement is not guaranteed.

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