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Salary
≈ $82k – $212k per year (Estimated)
Location
In office (Colombia)
Seniority
Senior · 5+ years exp

Confirmed on the employer's own hiring board on Oct 17, 2026. First seen by Alion on Oct 16, 2026.

Overview
Company
Impact
Profile match
Founded in 2012, Lean Solutions Group is a nearshore and offshore services provider specializing in workforce optimization, business process outsourcing (BPO), and technology solutions. Headquartered in Coral Springs, Florida, the company maintains extensive operational and talent delivery centers across Latin America and Asia. By combining skilled human resources with AI-powered tools and software systems, the enterprise enables companies across transportation, logistics, supply chain, financial services, and manufacturing to scale operations, streamline back-office tasks, and optimize customer support.

Description

Company Overview:

Global Technology Services is a rapidly expanding organization situated in Medellín, Colombia. We pride ourselves on possessing one of the most influential networks within software development and IT services for the entertainment, financial, and logistics sectors. Our corporate projections offer professionals many opportunities to advance their careers and achieve substantial growth. Joining our team means working with large engineering teams across Latin America, the Philippines, and the United States, contributing to cutting-edge developments across multiple industries.

Position Title:Data Engineer

Category: Data Engineering & Analytics

Seniority: Senior

Location:Colombia and Mexico

What you will be doing:

This role will be responsible for onboarding new partner datasets through Snowflake Data Share and AWS S3 ingestion patterns, designing and implementing medallion architecture data pipelines, developing dbt models, and enabling high-quality data products for downstream consumers. In addition to core data engineering responsibilities, this individual will contribute to the emerging Agentic AI workstream by leveraging Snowflake's native AI capabilities and developing supporting components using Python, Jinja, and Streamlit.

The ideal candidate combines strong technical execution with excellent communication skills, proactively engages with client stakeholders, drives technical discussions independently, and collaborates effectively across engineering and business teams.

Required Skills & Experience

  • 5+ years of data engineering experience, with strong expertise in building data solutions on Snowflake

  • Strong proficiency with SQL and data modeling using Medallion Architecture.

  • Experience integrating, transforming, and matching large datasets across multiple sources.

  • Familiarity with Snowflake Cortex AI, Snowpark, Streamlit, and Python-based AI application development is highly desirable.

  • Comfortable working directly with client stakeholders to gather requirements, provide implementation guidance, and communicate technical solutions.

  • Self-starter who proactively identifies issues, drives work independently, and collaborates effectively with distributed teams.

  • Excellent written and verbal communication skills with a strong consulting mindset.

  • dbt as a nice-to-have

Soft Skills

  • Strong analytical and troubleshooting skills.

  • Ability to work independently and within a team environment.

  • Strong communication skills with the ability to articulate, diagram, and document complex engineering concepts.

Why you will love GTS:

  • Join a powerful tech workforce and help us change the world through technology

  • Professional development opportunities with international customers

  • Collaborative work environment

  • Career path and mentorship programs that will lead to new levels.

Join GTS and contribute to shaping the data landscape within a dynamic and growing organization. Your skills will be honed, and your contributions will play a vital role in our continued success. GTS is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.r

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