Data Engineer

CodeRoad; United States; À distance; USD 120 000 - 160 000; Plein temps

Avantages offerts par ce poste

Remote US contractor

Competitive USD pay

Paid time off

Health insurance support

Work with US clients

Résumé du poste

CodeRoad is a technology execution partner for North American clients, delivering data engineering and AI initiatives since 2002. We seek a Data Engineer to design semantic models, build robust data pipelines, and ensure governance and security across analytics platforms while collaborating with AI teams.

This remote USA role offers exposure to high-growth clients and advanced tech stacks. Join a collaborative environment where you own meaningful work, grow with experienced professionals, and

Qualifications

• 3+ years of data engineering experience with SQL (Azure SQL, PostgreSQL, or cloud warehouses).
• Proven track record building and maintaining ETL/ELT data pipelines and analytics structures.
• Experience with database security: RBAC, RLS, and dynamic data masking for PII.
• Tuning complex queries for low-latency analytics; Kimball dimensional modeling and dbt semantic layers.
• Strong ownership mindset and proactive problem solving in nearshore teams.
• Advanced English fluency for daily client collaboration.

Responsabilités

• Design and implement modern semantic models for AI querying and analytics.
• Build curated, high-performance analytical views and production ELT/ETL pipelines.
• Optimize database query performance through indexing and schema tuning.
• Implement granular data governance: RBAC, RLS, and dynamic data masking.
• Establish comprehensive data quality, pipeline monitoring, and anonymization standards.
• Collaborate with AI engineering teams to align data with RAG architectures.

Connaissances

SQL

Azure SQL

PostgreSQL

ETL pipelines

dbt

Dimensional modeling

RBAC

RLS

Data governance

English fluency

Airflow/Prefect

Vector databases

RAG frameworks

Outils

Airflow

Prefect

Description du poste

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.