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Data Engineer (AI/Data Platform)

CodeRoad
CompanyCodeRoad
CategoryUncategorised
LocationLatin America
RemoteOn-site (inferred)
EmploymentNot stated
LevelNot stated
SalaryNot stated by the employer
Posted1 Apr 2026
Last verified30 Jul 2026
SourceEmployer career page (greenhouse)
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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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