Role overview

Qualifications

4+ years of experience in data engineering
Proficiency in Python and SQL
Experience with cloud platforms (AWS, GCP, or Azure)
Hands-on experience with orchestration tools (Airflow, Prefect, DBT) and data warehouses/streaming tools (Snowflake, Redshift, BigQuery; Kafka, Kinesis)

Responsibilities

Design and maintain ETL/ELT pipelines for large-scale data processing
Develop and manage data warehouse and data lake solutions
Optimize data models for reporting and analytics
Ensure data quality, security, and governance

Key facts

Remote from: Colombia
Freelance
Mid-level (2-5 years)
Data Engineer
English

Hard skills

Python (Programming Language) SQL (Programming Language) Data Lakes Amazon Web Services gRPC Microsoft Azure Apache Airflow Amazon Redshift BigQuery Apache Kafka AWS Kinesis Data Modeling Data Quality Data Security Data Governance Data Infrastructure Analytics

Other skills

Problem Reporting
Problem Solving
Communication
Collaboration
Teamwork

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

Data Engineer

Location: Remote in Latam
Job Type: Full-Time Employee or Contractor
Contract Type: Full-time Colombian Labor Contract or Contractor

We’re seeking a Data Engineer to design, build, and optimize scalable data pipelines and infrastructure. You will work closely with analysts, data scientists, and backend teams to ensure data is accessible, reliable, and secure.

Key Responsibilities

Design and maintain ETL/ELT pipelines for large-scale data processing.
Develop and manage data warehouse and data lake solutions.
Optimize data models for reporting and analytics.
Ensure data quality, security, and governance.
Collaborate with stakeholders to translate business needs into technical solutions.

Technical Requirements

4+ years of experience in data engineering.
Proficiency in Python and SQL.
Experience with cloud platforms (AWS, GCP, or Azure).
Hands-on with orchestration tools (Airflow, Prefect, DBT).
Experience with data warehouses (Snowflake, Redshift, BigQuery) and streaming tools (Kafka, Kinesis).

General Qualifications

Degree in Computer Science, Data Engineering, or related field.
Fluent English (B2+).
Strong problem-solving and communication skills.

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