Role overview

Qualifications

0–2 years of experience in data engineering or related field
Basic knowledge of Python and SQL
Familiarity with databases (PostgreSQL, MySQL, or NoSQL)
Understanding of version control (Git)

Responsibilities

Assist in developing and maintaining ETL/ELT pipelines.
Support data ingestion, cleansing, and transformation processes.
Help monitor data quality and troubleshoot issues.
Collaborate with data engineers and analysts on daily tasks.

Key facts

Remote from: Colombia
Freelance
Junior (1-2 years)
Data Engineer
English

Hard skills

Python (Programming Language) SQL (Programming Language) NoSQL Data Cleansing Data Transformation Data Quality Assessment Git (Version Control System) Design Documentation

Other skills

Troubleshooting (Problem Solving)
Communication
Collaboration
Teamwork
Curiosity
Willingness To Learn
Problem Solving

About the company

AgilityFeat

AgilityFeat is a US-based company with offices in Panamá and Colombia, offering services to help US companies build and manage nearshore software development teams in Latin America. Leverage our experience to solve your staffing challenges! Managing global software development teams has many benefits but can be complicated. We handle everything—recruiting, contracting, local labor laws, payments, and even transitioning your team and corporate structure if needed. Focus on building great applications while we take care of the rest! We offer

Company details

Company size11 - 50

Links

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Job description

Junior Data Engineer

Location: Remote in Latam
Job Type: Full-Time Employee or Contractor
Benefits: Local employment in country of residence with all afforded benefits (if hired as employee)

We’re looking for a Junior Data Engineer to support our data infrastructure and learn from experienced engineers. This role is ideal for someone eager to grow in data engineering, with foundational knowledge in programming and databases.

Key Responsibilities

Assist in developing and maintaining ETL/ELT pipelines.
Support data ingestion, cleansing, and transformation processes.
Help monitor data quality and troubleshoot issues.
Collaborate with data engineers and analysts on daily tasks.
Document workflows and contribute to team best practices.

Technical Requirements

0–2 years of experience in data engineering or related field.
Basic knowledge of Python and SQL.
Familiarity with databases (PostgreSQL, MySQL, or NoSQL).
Exposure to cloud services or data platforms is a plus.
Understanding of version control (Git).

General Qualifications

Bachelor’s degree in Computer Science, Data Science, or related field (or equivalent experience).
Fluent English (B2+).
Strong curiosity and willingness to learn new technologies.
Proactive communication and collaboration skills.

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