Senior Data Engineer
Confirmed on the employer's own hiring board on Oct 4, 2026. First seen by Alion on Sep 22, 2026. CodeRoad scores C on the Alion truth index.
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
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.
Build curated, high-performance analytical views and production ELT/ETL pipelines that streamline data retrieval, enhance freshness, and minimize redundant database queries.
Optimize database query performance, indexing, and schema definitions for low-latency analytical workloads through systematic query log analysis.
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.
Establish comprehensive data quality, pipeline monitoring, and anonymization standards across all analytical layers.
Collaborate with cross-functional AI engineering teams to align data structures with the operational requirements of RAG architectures and Agentic AI workflows.
Requirements
4+ years of dedicated data engineering experience with strong, production-grade command of SQL (Azure SQL, PostgreSQL, or modern cloud data warehouses).
Solid foundation in dimensional modeling (Kimball methodology) and semantic layer / metrics store architecture (e.g., dbt).
Proven production experience building and maintaining resilient ETL/ELT data pipelines.
Demonstrated experience implementing database security policies, granular role-based permissions, and dynamic data masking / PII protections.
Hands-on expertise tuning complex queries for low-latency analytical workloads.
Practical experience working with RAG Applications and Agentic AI Frameworks.
Soft Skills: Strong ownership mindset, proactive problem-solving ability, and a highly collaborative approach within nearshore team environments.
Language: Advanced English fluency (written and spoken) is strictly required.
Nice to Have
Experience with orchestration platforms such as Apache Airflow, Prefect, or Dagster.
Exposure to vector databases (e.g., pgvector, Pinecone, Qdrant) used in generative AI stacks.
Familiarity with streaming or event-driven technologies (e.g., Apache Kafka, AWS Kinesis).
Hands-on experience with cloud infrastructure as code (Terraform) or cloud-native CI/CD automation.
What You’ll Love
100% Remote culture allowing you to work from anywhere in Latin America.
Holidays off aligned with national and company calendars.
Paid Time Off (PTO) to ensure work-life balance.
Health insurance assistance coverage.
Competitive USD compensation paid directly to you.
Growth opportunities within high-impact, modern tech projects and multi-client ecosystems.