Data Engineer at CodeRoad

Job description

Engagement Type: Full-Time / Contractor About CodeRoad CodeRoad is a technology execution partner trusted by companies across North America since 2002. We work alongside our clients to engineer, modernize, and scale the technology that powers their businesses, combining deep technical expertise, specialized teams, and shared accountability for outcomes. Our capabilities span product engineering, platform engineering, legacy modernization, and AI engineering. Our engineers, designers, delivery leaders, and technology specialists collaborate through Velocity Studios: specialized teams developed within CodeRoad to deliver complex technology initiatives. Being assigned to a project means you become part of a collaborative environment where you can strengthen your expertise, take ownership of meaningful work, and grow alongside experienced professionals. Why Build Your Career at CodeRoad? High-Velocity Work & Client Exposure: We work close to the technology, teams and roadmaps that move real outcomes. Direct engagement with U.S. client teams and roadmaps. Career Continuity & Long-Term Opportunity: Your career here can outlast any single project. Continuous multi-project pipeline; long-tenure CodeRoaders. Engineering Autonomy & Technical Mastery: We invest in the skills that shape what's next. Agentic AI tools and training, Coursera Enterprise, Studio practice labs, L1-L7 Career Framework. High-Trust Employee Experience: You grow in an environment built on trust, transparency and recognition. High-touch onboarding, transparent leadership communication, community recognition, psychological safety. 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. Implement 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. What You Bring 3+ years of dedicated Data Engineering experience with strong, production-grade command of SQL across Azure SQL, PostgreSQL, or modern cloud data warehouses. Proven production track record building and maintaining resilient ETL/ELT data pipelines and optimized analytical structures. Demonstrated experience in database security , including role-based permissions (RBAC), Row-Level Security (RLS), and dynamic data masking for PII protection. Hands-on expertise tuning complex queries for low-latency analytical workloads alongside a strong foundation in dimensional modeling (Kimball) and semantic layers (dbt). Strong ownership mindset and proactive problem-solving abilities within collaborative nearshore team environments, with bonus exposure to orchestration platforms (Airflow/Prefect), vector databases, or RAG frameworks. Advanced English fluency (both written and spoken) is strictly required for daily direct client collaboration. What You’ll Love USA Contractor / 100% Remote Competitive Pay (USD) Holidays Off & Paid Time Off Health insurance assistance program Opportunity to work with high-growth US-based companies and cutting-edge tech stacks. Ready to Build What Actually Ships? Explore opportunities and submit your application today!

Requirements

Must-haves

Engagement Type: Full-Time / Contractor
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.
Implement 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.
3+ years of dedicated Data Engineering experience with strong, production-grade command of SQL across Azure SQL, PostgreSQL, or modern cloud data warehouses.
Proven production track record building and maintaining resilient ETL/ELT data pipelines and optimized analytical structures.
Demonstrated experience in database security , including role-based permissions (RBAC), Row-Level Security (RLS), and dynamic data masking for PII protection.
Hands-on expertise tuning complex queries for low-latency analytical workloads alongside a strong foundation in dimensional modeling (Kimball) and semantic layers (dbt).
Advanced English fluency (both written and spoken) is strictly required for daily direct client collaboration.
What You’ll Love
USA Contractor / 100% Remote
Competitive Pay (USD)
Opportunity to work with high-growth US-based companies and cutting-edge tech stacks.
Ready to Build What Actually Ships?
Explore opportunities and submit your application today!

Nice-to-haves

Strong ownership mindset and proactive problem-solving abilities within collaborative nearshore team environments, with bonus exposure to orchestration platforms (Airflow/Prefect), vector databases, or RAG frameworks.

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

aisqlazure

Platform: greenhouse
Effort: quick

Benefits

Benefits detected in the listing.

Health Insurance

Paid Time Off