---
title: 'Senior Data Engineer at CodeRoad'
canonical: 'https://feeny.ai/job/senior-data-engineer-coderoad-latin-america-xwdp1ztaxhpc'
type: 'job'
last_seen: '2026-09-10'
---

# Senior Data Engineer at CodeRoad

- **Company:** CodeRoad
- **Location:** Latin America
- **Work type:** remote
- **Posted:** 2026-08-04
- **Last confirmed live:** 2026-09-10
- **Apply:** https://job-boards.greenhouse.io/coderoad/jobs/4354588009

## Job description

Senior Data Engineer

Latin America | 100% Remote

## About CodeRoad

CodeRoad provides end-to-end software development services, helping businesses scale with ideal infrastructure solutions. From staff augmentation to dedicated IT teams and general software engineering, our nearshore technology services empower businesses to thrive in an ever-evolving digital landscape.

## About the Role

As a Senior Data Engineer, you will serve as the technical backbone of our data architecture, owning end-to-end data pipelines and driving org-wide decisions that elevate how complex data ecosystems are built, normalized, and maintained. You will hands-on design and scale robust architectures using modern cloud warehouses like BigQuery, leverage dbt or Dataform for transformations, and construct reliable production services in Python to keep critical business data flowing seamlessly.

This role is critical to transforming heterogeneous source systems into a single source of truth, directly powering high-impact decisions across Finance and Operations. You won't just deliver pipelines, you will anchor the architectural standards, testing frameworks, and monitoring protocols that guarantee data trustworthiness, resilience, and operational excellence across the enterprise.

## Key Responsibilities

- Design and implement standardized, normalized data models capable of integrating heterogeneous and complex source systems.
- Lead org-wide architectural decisions for data warehousing, orchestration, and pipeline reliability across the data engineering ecosystem.
- Build and maintain production-grade data services and internal tooling utilizing Python and modern frameworks like FastAPI or Flask.
- Optimize automated data transformations and workflow orchestration using tools like dbt, Dataform, and Apache Airflow or Google Cloud Composer.
- Establish comprehensive data quality frameworks, including automated testing, anomaly detection, monitoring, and structured incident response processes.
- Collaborate with cross-functional partners in Finance and Operations, translating complex technical tradeoffs into clear business strategies.

## Requirements

- 5+ years of hands-on data engineering experience, including 2–3+ years operating at a staff or principal level with org-wide architectural scope.
- Tech Stack Mastery: Deep expertise in BigQuery (or equivalent cloud data warehouse) and SQL-based transformation tools like dbt or Dataform.
- Advanced Python Proficiency: Proven track record building and maintaining production services, microservices, or APIs (FastAPI, Flask, or equivalent).
- Production Orchestration: Hands-on experience managing complex workflows at scale using Airflow, Cloud Composer, or similar orchestrators.
- Data Modeling & Trustworthiness: Demonstrated success designing normalized models from complex sources, paired with robust testing, monitoring, and incident response practices.
- Soft Skills: Strong ownership mindset, strategic thinking, and top-tier analytical skills.
- Language Proficiency: Advanced English (written and spoken) with the ability to explain technical tradeoffs to non-technical stakeholders.
- Education: Bachelor's degree in Computer Science, Engineering, a related field, or equivalent practical experience.

## Nice to Have

- Experience with real-time streaming architectures using Apache Kafka, Pub/Sub, or Flink.
- Exposure to Data Mesh paradigms, data governance tools, and automated data lineage platforms.
- Experience with warehouse cost optimization (FinOps) and performance tuning in large-scale BigQuery environments.
- Infrastructure as Code (Terraform) experience for provisioning cloud data infrastructure.

## What You’ll Love

- 100% Remote culture allowing you to work from anywhere in Latin America.
- Holidays off to celebrate local national holidays.
- Paid Time Off (PTO) for vacation and personal days.
- Health insurance assistance to support your well-being.
- Competitive USD compensation paid directly in US Dollars.
- Growth opportunities through high-impact projects and ongoing professional development.

## 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)

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