--- title: 'Data Engineer - Support Project L2 at CodeRoad' canonical: 'https://feeny.ai/job/data-engineer-support-project-l2-coderoad-latin-america-bg2q2r7w5ecd' type: 'job' last_seen: '2026-10-29' --- # Data Engineer - Support Project L2 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/4458106009 ## 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 - Investigate & Resolve Data Issues: Identify, investigate, and troubleshoot missing, duplicate, inconsistent, or unexpected data in operational systems. Use SQL queries to trace issues, identify root causes, and help implement appropriate resolutions. - Monitor Data Pipelines & Scheduled Jobs: Monitor data processing workflows, scheduled jobs, and pipeline executions. Investigate failures, identify bottlenecks, and coordinate troubleshooting to help maintain reliable data flows. - Support Data Reporting & Refresh Processes: Troubleshoot data discrepancies, failed refreshes, and issues affecting reporting tools and dashboards, working with the appropriate teams to restore accurate and reliable data. - Maintain Data Integrity: Perform approved data corrections and operational changes while following established procedures, documentation, and data integrity standards. - Automate & Improve Operational Workflows: Identify opportunities to streamline recurring investigations, reduce manual effort, and improve operational efficiency through scripting, automation, and AI-assisted tools. Proactively experiment with AI solutions to accelerate troubleshooting and find smarter ways to solve everyday problems. - Collaborate Within the Infrastructure Team: Work as part of a three-person infrastructure team to investigate and resolve data-related operational issues. Track incidents and resolutions through ticketing systems and collaborate with developers, IT Operations, and business stakeholders as needed. ## What You Bring - Relevant Experience: 1–3 years of professional experience in IT Operations, Data Operations, application support, database support, or a similar technical troubleshooting role. - SQL & Database Fundamentals: Hands-on experience writing SQL queries to investigate data issues, validate records, identify discrepancies, and troubleshoot problems. Familiarity with relational databases, particularly Microsoft SQL Server, is preferred. - Data Processing & Pipeline Knowledge: Basic understanding of data pipelines, ETL/ELT processes, scheduled jobs, and how data moves between operational systems and reporting environments. Exposure to tools such as Azure Data Factory, Airflow, or SQL Server Agent is a plus. - Reporting & Troubleshooting: Familiarity with data reporting tools, dashboards, or data refresh processes. Experience with Tableau or similar BI platforms is an advantage. - Scripting & Automation: Basic experience with Python, PowerShell, or other scripting tools is a plus. A proactive approach to leveraging AI-assisted coding and automation tools to simplify workflows, reduce repetitive work, and solve operational problems is especially desirable. - AI-Driven Problem Solving: A proactive mindset toward adopting AI tools to investigate issues, automate repetitive tasks, improve troubleshooting, and identify opportunities to make daily operations more efficient. Curiosity, initiative, and a willingness to experiment with emerging AI technologies are highly valued. - Operational Mindset & Problem Solving: Strong analytical and troubleshooting skills, attention to detail, and a proactive approach to identifying and resolving issues. Comfortable following documented procedures, managing tickets, and escalating issues when necessary. - Communication & Collaboration: Good English communication skills, both written and verbal, with the ability to document findings, communicate technical issues clearly, and collaborate effectively within a small, cross-functional team. ## 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 - [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 - [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