Location: Remote – LATAM
Employment type: Hourly, Contract
Seniority: Mid Level
Department: Data Engineering
About Us
SkilldLabs is a product built from the challenges of our past. Hiring quality talent, working together in the same time-zone, and building cutting edge products at warp speed. We help startups overcome today’s hiring challenges. Today, we have grown into a leading staff augmentation provider of highly skilled teams of nearshore experts.
Overview
This role focuses on supporting analytics-heavy client work by owning the data plumbing—extracting, cleaning, transforming, and modeling data so insights can be delivered faster and more efficiently.
This is closer to practical data engineering than pure analytics.
Responsibilities
- Extract data from e-commerce platforms (primarily Shopify)
- Build and maintain ELT pipelines (e.g. Airbyte or similar tools)
- Clean, transform, and model data using SQL
- Work with BigQuery as the primary data warehouse
- Implement transformations using dbt or Dataform
- Prepare datasets that can easily support reporting and analysis
Requirements
- Strong SQL skills
- Hands-on experience with BigQuery
- Experience with ELT tools (Airbyte or similar)
- Familiarity with dbt and/or Dataform
- Comfortable working with messy, real-world e-commerce data
- Ability to work independently and manage tasks end-to-end
Nice to Have
- E-commerce or Shopify data experience
- Analytics background (funnels, cohorts, customer behavior)
- Experience supporting consultants or multiple clients
Engagement Details
- Hourly, on-demand engagement
- Flexible workload depending on active projects
What we Offer
- Opportunity to work on cutting-edge products.
- PTO, paid holidays & family leave
- Paid learning + sponsored certifications
- A dynamic and collaborative work environment
- Fully remote team with async-first collaboration
- Computer Sponsor program
- Payment in USD