Data Engineer (AI/Data Platform)
CodeRoad
| Company | CodeRoad |
| Category | Uncategorised |
| Location | Latin America |
| Remote | On-site (inferred) |
| Employment | Not stated |
| Level | Not stated |
| Salary | Not stated by the employer |
| Posted | 1 Apr 2026 |
| Last verified | 30 Jul 2026 |
| Source | Employer career page (greenhouse) |
Description
About CodeRoad
CodeRoad provides end-to-end software development services, helping businesses scale with ideal infrastructure solutions. From staff augmentation to dedicated IT teams and general software engineering, our nearshore technology services empower businesses to thrive in an ever-evolving digital landscape.
About the Role
As a Data Engineer, you’ll own the backbone of our AI systems: data pipelines, storage, and processing layers. You’ll ensure data flows reliably from multiple sources into scalable systems that power analytics and AI models.
This role is critical to making AI actually work in production.
Key Responsibilities
Design and implement scalable ETL pipelines across multiple data sources
Manage and optimize data workflows for relational and cloud-based systems
Work with Snowflake and Microsoft Dataverse for structured data processing
Build and maintain integrations with APIs and external services
Monitor data pipelines and ensure reliability and performance
Collaborate with AI engineers to support data needs for RAG and models
Requirements
3+ years of experience in Data Engineering
Strong experience with ETL processes and job automation
Hands-on experience with: Snowflake, Databricks, SQL (advanced querying)
Experience building and consuming REST APIs
Familiarity with Docker and containerized environments
Experience with Power BI (DAX) is a plus
Strong ownership mindset and ability to work autonomously
Advanced English
Nice to Have
Experience with vector databases
Azure ecosystem (Blob Storage, Container Apps, Monitor)
Exposure to AI/ML data pipelines
What You’ll Love
100% Remote
Holidays off
Paid Time Off
Health insurance assistance program
Competitive USD compensation
Strong team culture and collaborative environment
Ongoing training and growth opportunities
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