Data Engineer
Posted 22 Sep 2026
Advertised as “Senior Data Engineer”
BranchFactor Summary
The original posting with the fluff stripped out
- Expected experience
- 4+ yrs
- Management level
- Individual contributor
- Employment
- Remote
No salary listed for this role.
Senior Data Engineer
Location/Region
Latin America | 100% Remote
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 Senior Data Engineer at CodeRoad, you will serve as the technical backbone responsible for architecting and optimizing an agent-ready data foundation and semantic layer. You will model complex analytical views, optimize low-latency query performance for downstream LLM retrieval, and anchor robust access control and data privacy policies across modern database environments.
This role is critical to bridging complex operational data systems with cutting-edge AI frameworks, ensuring that downstream AI agents and analytical engines access accurate, highly secure, and optimized data in real time.
Key Responsibilities
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Design and implement modern semantic models (facts, dimensions, and metrics stores using tools like dbt) to abstract complex operational databases for AI querying and analytical consumption.
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Build curated, high-performance analytical views and production ELT/ETL pipelines that streamline data retrieval, enhance freshness, and minimize redundant database queries.
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Optimize database query performance, indexing, and schema definitions for low-latency analytical workloads through systematic query log analysis.
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Lead the implementation of granular data governance frameworks, including Role-Based Access Control (RBAC), Row-Level Security (RLS), and dynamic data masking for PII protection.
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Establish comprehensive data quality, pipeline monitoring, and anonymization standards across all analytical layers.
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Collaborate with cross-functional AI engineering teams to align data structures with the operational requirements of RAG architectures and Agentic AI workflows.
Requirements
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4+ years of dedicated data engineering experience with strong, production-grade command of SQL (Azure SQL, PostgreSQL, or modern cloud data warehouses).