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Data Engineer (AI/Data Platform)

Posted 3 months ago

OfficeLatin America

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
Job details
Workplace
Office
Location
Latin America

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Key team members

Mateusz Choma

Mateusz Choma

Marcin Kołodziej

Marcin Kołodziej

Weronika Choma

Weronika Choma

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