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CodeRoad

AI-enabled nearshore software development and services

Senior Data Engineer

Data EngineeringPosted on Nov 10
Full-timeNo salary listed

About the Job

Requirements

  • At least 5 years of hands-on data engineering experience, including demonstrated leadership in driving organization-wide architecture and foundational data systems.
  • Deep expertise in modern cloud data warehouses and transformation frameworks, with Google BigQuery preferred and dbt or Dataform experience.
  • Advanced SQL proficiency.
  • Ability to build, deploy, and support production services, RESTful APIs, or microservices in cloud environments.
  • Experience managing distributed workflows using Airflow or Cloud Composer, and expertise in relational and analytical dimensional modeling.
  • Advanced English proficiency (C1/C2), written and verbal, with ability to articulate technical architecture to U.S.-based cross-functional partners.

Responsibilities

  • Design and implement robust, normalized data models that harmonize complex, heterogeneous source systems into a unified single source of truth.
  • Lead organization-wide architectural decisions across cloud warehousing, orchestration, and pipeline reliability, establishing performance and maintainability benchmarks.
  • Develop and maintain high-throughput backend data services, microservices, and internal tooling using Python and frameworks such as FastAPI or Flask.
  • Engineer and optimize scalable transformation pipelines and workflow automation using dbt, Dataform, and Apache Airflow or Google Cloud Composer.
  • Implement data quality frameworks with automated testing, anomaly detection, real-time observability, and disciplined incident response protocols.
  • Partner with executive stakeholders across Finance and Operations, translating technical tradeoffs into actionable business strategies.

Desired Qualifications

  • Experience with Google BigQuery.

About the Company

CodeRoad

AI-enabled nearshore software development and services

CodeRoad is an AI-first technology partner that helps large enterprises build software, use AI, and secure digital systems. Its Velocity-as-a-Service (VaaS) platform blends delivery planning, real-time insights, and AI-enhanced engineering to speed up projects, while it provides AI enablement, app development, cybersecurity, and data analytics. The company stands out with its long-standing nearshore model—using Latin American talent—and a platform that ties delivery work to AI tools, including integrations with Microsoft 365 and Azure AI. Its goal is to grow as a solutions-focused partner, expand its Latin American talent footprint, and help clients accelerate digital transformation with AI-powered software and services.

Company size
51-200
Company stage
Not listed
Total funding
Not listed
Headquarters
Boca Raton, FL
Founded
2002

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