Junior Data Engineer

Overview

Are you in Brazil, Argentina or Colombia? Join us as we actively recruit in these locations, offering a comfortable remote environment. Submit your CV in English, and we'll get back to you

We invite a Junior Data Engineer to join our dynamic team supporting a major enterprise client in modernizing their data platform. In this role, you’ll assist in migrating and transforming legacy data pipelines to a modern cloud environment. You’ll work closely with senior engineers, architects, DevOps, QA, and product stakeholders, gaining hands-on data engineering experience and contributing to reliable, scalable data solutions.

What’s in it for you

• Join a supportive delivery team built on collaboration, transparency, and mutual respect
• Get hands-on exposure to a high-impact, real-world data platform transformation project
• Grow your skills with modern technologies like GCP, Snowflake, Apache Iceberg, dbt, Airflow, Dataflow, and BigQuery

Is that you?

• 0.5-1 years of experience in data engineering, data analytics, or software development
• Basic understanding of data warehouse concepts and ETL pipelines
• Good knowledge of SQL and willingness to learn Snowflake or similar data storage technologies
• Basic experience with Python for scripting or simple ETL tasks
• Experience with GCP platforms (BigQuery, GCS, Airflow, Dataflow, Dataproc, Pub/Sub)
• Understanding of version control (Git) and eagerness to learn CI/CD and IaC tools
• Degree in Computer Science, Data Engineering, or related field, or equivalent practical experience
• Strong communication and collaboration skills
• Upper-Intermediate English level

Desirable

• Basic exposure to streaming data pipelines and event-driven architectures
• Familiarity with basic scripting and containerization tools (Bash, Docker)
• Basic understanding of data lakehouse concepts (Iceberg tables)
• Awareness of data transformation tools like dbt
• Familiarity with AI-assisted tools like GitHub Copilot

Key responsibilities and your contribution

In this role, you'll assist with key data engineering activities while supporting the team in delivering high-quality data solutions.

• Assist in reviewing and analyzing existing ETL solutions for migration to the new architecture
• Support the migration of batch and streaming data pipelines to the GCP Landing Zone
• Help build and maintain data transformations with dbt, supporting ELT pipelines in Snowflake
• Help with data jobs refactoring and mapping
• Assist in setting up and maintaining monitoring and alerting for data pipelines
• Contribute to migrating historical data to Iceberg tables with guidance from senior engineers
• Collaborate with senior engineers and stakeholders to understand requirements and implement solutions
• Participate in code reviews, team discussions, and technical planning to develop your skills

What’s working at Dev.Pro like?

Dev.Pro is a global company that's been building great software since 2011. Our team values fairness, high standards, openness, and inclusivity for everyone — no matter your background. We are 99.9% remote — you can work from anywhere in the world. Get 30 paid days off per year to use however you like — vacations, holidays, or personal time. 5 paid sick days, up to 60 days of medical leave, and up to 6 paid days off per year for major family events like weddings, funerals, or the birth of a child. Partially covered health insurance after the probation, plus a wellness bonus for gym memberships, sports nutrition, and similar needs after 6 months. We pay in U.S. dollars and cover all approved overtime. Join English lessons and Dev.Pro University programs, and take part in fun online activities and team-building events

Our next steps

Submit a CV in English — Intro call with a Recruiter — Internal interview — Client interview — Offer

Interested? Find out more

• How we work
• LinkedIn Page
• Our website
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