--- title: 'Data Engineer at CodeRoad' canonical: 'https://feeny.ai/job/data-engineer-coderoad-latin-america-wg6sg1f60xyh' type: 'job' last_seen: '2026-10-29' --- # Data Engineer at CodeRoad - **Company:** CodeRoad - **Location:** Latin America - **Work type:** remote - **Posted:** 2026-10-19 - **Last confirmed live:** 2026-10-29 - **Apply:** https://job-boards.greenhouse.io/coderoad/jobs/4458055009 ## 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 - Build & Maintain Scalable Data Pipelines: Develop, optimize, and maintain reliable ETL/ELT pipelines to ingest, transform, validate, and load transactional data into relational databases, particularly Microsoft SQL Server and PostgreSQL. - Support AI & Data-Driven Solutions: Contribute to data ingestion and preparation workflows that support AI applications, including document processing, metadata management, chunking, and embedding generation for Retrieval-Augmented Generation (RAG) systems. - Leverage AI-Assisted Engineering: Proactively use modern AI tools to accelerate code development, improve data transformation workflows, troubleshoot issues, and identify opportunities to make data engineering processes more efficient. - Orchestrate & Monitor Data Workflows: Develop, schedule, and monitor data processing jobs using tools such as Airflow, Azure Data Factory (ADF), and SQL Server Agent. Investigate pipeline failures and implement data quality checks to ensure reliable processing. - Improve Database & Data Model Performance: Write and optimize SQL queries, contribute to data modeling, and improve the efficiency and reliability of database operations and analytical data structures. - Collaborate & Support Production Workloads: Work alongside Senior Data Engineers, data scientists, product owners, and IT Operations to resolve production issues, implement improvements, maintain documentation, and follow established Git, Bitbucket, and Jira workflows. ## What You Bring - Core Experience: 3+ years of professional experience in data engineering, building, maintaining, and troubleshooting data pipelines and data processing workflows in production environments. - Python & SQL Proficiency: Hands-on experience with Python, particularly for data processing and transformation, and strong SQL skills, including joins, CTEs, window functions, aggregations, and query optimization. Familiarity with pandas and experience with Microsoft SQL Server or PostgreSQL are expected. - Pipeline Orchestration & Cloud Knowledge: Practical experience developing or managing data workflows using Airflow, Azure Data Factory (ADF), or SQL Server Agent. Familiarity with cloud environments, preferably Azure, is an advantage. - Data Modeling & AI Data Preparation: Understanding of data modeling, relational database structures, and data quality principles. Exposure to document ingestion, embeddings, vector search, or data pipelines supporting AI and RAG applications is a plus. - Engineering Practices & Tools: Experience with Git-based version control, collaborative development workflows, and issue tracking tools such as Bitbucket and Jira. Familiarity with CI/CD practices and Docker is an advantage. - AI-Driven Problem Solving: A proactive mindset toward adopting AI tools to accelerate development, improve code quality, automate repetitive tasks, and solve technical challenges. Curiosity and initiative in exploring practical applications of AI in data engineering are highly valued. - Analytical Thinking & Ownership: Strong troubleshooting and problem-solving skills, attention to detail, and the ability to take ownership of assigned tasks, investigate issues independently, and collaborate effectively with senior engineers. - Communication & Collaboration: Good English communication skills, both written and verbal, with the ability to explain technical concepts clearly to cross-functional stakeholders. Ability to overlap with U.S. Central business hours is required. ## 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!](https://job-boards.greenhouse.io/coderoad) ## About CodeRoad ## Company Overview - **One-liner**: CodeRoad is a next-generation technology execution partner that delivers nearshore software development, AI engineering, and digital transformation services through its Velocity-as-a-Service™ model. - **Entity Type**: Private (bootstrapped / internally funded – no external funding rounds publicly disclosed) - **Headquarters**: Not publicly disclosed; delivery hubs across 14 countries in Latin America with US-based leadership team. First delivery center opened in La Paz, Bolivia (2008). - **Founded**: 2002 - **Founders**: Not publicly named; leadership team includes Dennis Odishoo (CEO & Partner), Todd Workman (COO & VP of Sales), Marcelo Schenone (VP of Delivery & Engineering), and Jess Young (Director of People & Culture). ## Core Business - **Primary industries**: Software engineering services, AI engineering, digital transformation consulting, nearshore outsourcing. - **Target customers**: Enterprise and mid-market companies (B2B) across luxury retail, financial services, automotive, and enterprise software. - **Mission**: “Empower organizations to accelerate technology delivery through AI-ready systems and end-to-end software solutions that foster innovation, seamless integration, and measurable business impact.” ## Products & Services - **Velocity-as-a-Service (VaaS)**: Outcome-based delivery model combining elite nearshore engineers, AI-powered development systems, and senior-led delivery pods. Measures success through execution performance and business value, not just staffing. - **AI Engineering**: AI readiness assessments, agentic workflows, production deployment of AI/ML models, and AI-native delivery – built with secure-by-design governance (SOC2, HIPAA, PCI-DSS). - **Nearshore Software Development**: Senior-led pods operating in U.S. time zones, providing full-stack, backend, frontend, mobile, DevOps, data engineering, and QA automation. - **Digital Transformation**: Modernization of legacy systems, platform migration, and strategic execution of large-scale transformation programs with embedded architects and product leaders. ## Market Standing - **Valuation / Funding**: Not publicly available (no disclosed valuation or funding rounds). - **Key Metrics**: - Client satisfaction rating: 4.8/5 - Client retention: over 80% of clients stay beyond 5 years - 20+ years of SDLC execution experience - Delivery footprint across 14 Latin American countries - **Notable Clients / Partners**: Historical clients include GM, Ford, and Whirlpool (from early supply chain platform). Current clients span luxury retail, financial services, automotive, and enterprise software (specific names not disclosed). - **Growth Signals**: - 36 active job openings as of July 2026 (Senior AI Engineer, MLOps, Delivery Director, etc.) - Expanding AI engineering and agentic workflow capabilities - Nearshore 3.0 model embedding talent, product leadership, and delivery accountability ## Competitive Advantages - **Velocity-as-a-Service™ model** – moves from hiring to active production in weeks, not months, with outcome-based accountability. - **Nearshore advantage** – LATAM engineers aligned to U.S. business hours, same time zone, cultural alignment, and cost efficiency. - **Senior-led delivery pods** – experienced engineering leaders co-own delivery outcomes, not just staff augmentation. - **Secure-by-design** – SOC2, HIPAA, and PCI-DSS built into architecture from day one, eliminating costly compliance retrofits. - **Long-term partnerships** – over 80% retention for 5+ years demonstrates trust and consistent value delivery. - **AI-powered SDLC** – agentic AI embedded into workflows, multi-agent systems for automation, and real-time performance dashboards. ## Strategic Focus - Scaling the Velocity-as-a-Service model as the primary go-to-market offering. - Deepening AI engineering capabilities (agentic workflows, production AI deployments, ML pipelines). - Expanding nearshore delivery capacity across more LATAM countries while maintaining senior talent density. - Helping enterprise clients move from AI experimentation to measurable business outcomes. - Continuing to differentiate from traditional staff augmentation by embedding product leadership and delivery accountability. ## Why Work Here - **Remote-first work model** – engineers can work from home across Latin America. - **Competitive compensation**: Salaries paid in USD, plus health insurance assistance, paid vacation/holidays. - **Career growth & learning**: Quarterly bootcamps, tech summits, mentorship programs, training and educational reimbursement. - **High-impact projects**: Work on complex, real-world challenges for global industry leaders, building AI systems and modern platforms. - **Culture**: “People-first” environment with a diverse global team, emphasis on collaboration and continuous innovation. - **Senior talent density**: Opportunity to work alongside experienced engineering leaders and product managers. - **Work schedule**: Aligned to U.S. business hours, enabling close collaboration with North American teams. ## Sources 1. [coderoad.com](https://coderoad.com/) 2. [coderoad.com/about-us](https://coderoad.com/about-us) 3. [coderoad.com/careers](https://coderoad.com/careers) 4. [job-boards.greenhouse.io/coderoad](http://job-boards.greenhouse.io/coderoad) 5. [linkedin.com/company/coderoad-inc](https://www.linkedin.com/company/coderoad-inc) ## Other roles at CodeRoad - [Senior FullStack Developer (Backend oriented)](https://feeny.ai/job/senior-fullstack-developer-backend-oriented-coderoad-latin-america-sd1efbnyvqys) — Latin America - [Lead Salesforce Admin](https://feeny.ai/job/lead-salesforce-admin-coderoad-latin-america-v8nfh6k482kv) — Latin America - [Data Scientist](https://feeny.ai/job/data-scientist-coderoad-latin-america-n7hea0nyj9ea) — Latin America - [Data Engineer - Support Project L2](https://feeny.ai/job/data-engineer-support-project-l2-coderoad-latin-america-bg2q2r7w5ecd) — Latin America - [Fullstack Developer (Python/ React)](https://feeny.ai/job/fullstack-developer-python-react-coderoad-latin-america-393jaw9n7vew) — Latin America - [Sr Fullstack Developer (Python/ React)](https://feeny.ai/job/sr-fullstack-developer-python-react-coderoad-latin-america-ax6tkhnen931) — Latin America - [Data Engineer](https://feeny.ai/job/data-engineer-coderoad-latin-america-vvg6ys00h3wz) — Latin America - [Senior AI Product Owner](https://feeny.ai/job/senior-ai-product-owner-coderoad-latin-america-1t6nahefztan) — Latin America - [Mid Azure DevOps Engineer](https://feeny.ai/job/mid-azure-devops-engineer-coderoad-latin-america-k1es9kefh6fs) — Latin America - [Lead Agentic AI Engineer](https://feeny.ai/job/lead-agentic-ai-engineer-coderoad-united-states-xsvbcx1z5z1d) — United States