--- title: 'Senior Data Engineer at CodeRoad' canonical: 'https://feeny.ai/job/senior-data-engineer-coderoad-latin-america-cw3w80d618vx' type: 'job' last_seen: '2026-11-05' --- # Senior Data Engineer at CodeRoad - **Company:** CodeRoad - **Location:** Latin America - **Work type:** remote - **Posted:** 2026-11-04 - **Last confirmed live:** 2026-11-05 - **Apply:** https://job-boards.greenhouse.io/coderoad/jobs/4476334009 ## Job description Engagement Type: Contractor (100% Remote, Latin America) ## 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 - Architect & Scale Robust Pipelines: Design, build, and maintain high-performance batch and real-time streaming data pipeline architectures that ingest, process, and deliver large, complex datasets reliably. - Drive Automation & System Reliability: Identify opportunities to automate manual workflows, optimize query execution, and re-engineer cloud infrastructure to enhance data freshness, scalability, and system fault tolerance. - Modernize Cloud Data Infrastructure: Build production-grade ETL/ELT pipelines using Python, SQL, and enterprise cloud ecosystems (Azure / GCP) to extract and unify data across distributed sources. - Empower Analytics & AI Initiatives: Develop, test, and maintain tailored data tooling, data marts, and feature stores that enable analytics engineers and data scientists to deploy performant models and business intelligence solutions. - Take Technical Ownership: Collaborate directly with cross-functional stakeholders in North America, leading root cause analysis on pipeline bottlenecks, managing dependencies, and ensuring sound data governance across environments. ## What You Bring - Proven Engineering Track Record: 4+ years of professional experience in data engineering, with proven expertise in data modeling, metadata management, and workload orchestration. - Core Technology Mastery: Advanced proficiency in Python and complex SQL; hands-on production experience with Databricks (Scala experience is a strong plus). - Big Data & Cloud Tooling: Practical experience with distributed processing engines like Apache Spark, paired with cloud data platforms such as Azure Data Factory, Azure Synapse, or Google BigQuery. - Modern Pipeline Delivery: Solid track record architecting both stream-based and batch-oriented data pipelines capable of handling semi-structured and unstructured data at scale. - Consultative Mindset & Communication: Advanced English proficiency (B2+/C1) with exceptional written and spoken communication skills, comfortable driving technical conversations with U.S.-based engineering teams aligned to East or West Coast business hours. ## 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 QA Automation Engineer](https://feeny.ai/job/senior-qa-automation-engineer-coderoad-latin-america-7dg4wmbby9x0) — Latin America - [Senior QA Engineer - Performance Testing](https://feeny.ai/job/senior-qa-engineer-performance-testing-coderoad-latin-america-mmtf7wsj130c) — 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-wg6sg1f60xyh) — 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