data
Posted 1 weeks agoData Engineer (AI/Data Platform)
at CodeRoad
Latin America, United StatesOn-site
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Responsibilities
- Design and implement scalable ETL pipelines across multiple data sources
- Manage and optimize data workflows for relational and cloud-based systems
- 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
Requirements
- 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
- Work with Snowflake and Microsoft Dataverse for structured data processing
- experience with ETL processes and job automation Hands-on
- experience with: Snowflake, Databricks, SQL (advanced querying) •
- 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
Experience
- 3+ years of experience in Data Engineering Strong
Benefits
- Health insurance assistance program
- Competitive USD compensation
Additional details
- 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