Data Engineer
- Level
- Mid
Not stated in the posting: salary, work type, visa.
Open. First seen 19 October 2026.
About the role
Engagement Type: Full-Time / Contractor
CodeRoad's standard text
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
CodeRoad's standard text
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!
What this role asks for
Particular to this role
Airflow · PostgreSQL · dbt
Rare in CodeRoad's other 21 open postings.
Standard for data engineering roles
Data Warehousing · ETL · SQL
Common in data engineering postings at any company.
In most of CodeRoad's ads
Azure
Named in most of its open postings, whatever the role.
53% of this description is written for the role. The rest is CodeRoad's standard text, folded away below.
Compared with CodeRoad's other open jobs.
The team: CodeRoad HIRES STEADILY
This role is one of 23 open in CodeRoad. 9 were posted in the last 30 days and the oldest in January: a team that hires all year rather than one being built.
WHAT THE TEAM WORKS WITH, ACROSS ITS POSTINGS
Azure (15 of 23), CI/CD (13 of 23), Python (11 of 23), REST (11 of 23), AWS (10 of 23), SQL (10 of 23), LangChain (8 of 23)
OTHER ROLES ON THIS TEAM
- Senior Frontend Engineer posted Oct 8
- Senior AI Product Owner posted Oct 8
- Mid Azure DevOps Engineer posted Oct 7
- Lead Agentic AI Engineer posted Oct 7
- Senior Blazor / .NET Developer posted Oct 6
- Senior .Net/Blazor Developer posted Oct 2
- Senior Data Engineer posted Sep 22
- Agentic AI Engineer posted Sep 22
- Agentic AI Engineer posted Sep 15
- Senior .NET Engineer posted Aug 20
- Senior Agentic AI Engineer posted Aug 19
- Senior React Engineer posted Aug 11
- Lead Backend Java Developer posted Jul 22
- Senior QA Manual Engineer posted Jul 21
- Senior QA Automation Engineer posted Apr 8
- Senior .NET Developer posted Mar 5
- Senior Data Engineer posted Mar 4
- Senior Java Developer posted Mar 4
- Senior DevOps Engineer posted Mar 4
- Senior QA Automation Engineer posted Mar 3
- Senior Agentic AI Engineer posted Jan 27
- Machine Learning Operations Engineer (MLOps) posted Jan 26
From the team and dates on CodeRoad's own job board.
Salary context
66 other open postings titled Data Engineer state a salary: median USD 130,000 to USD 180,050 a year.
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