Senior Data Engineer

CodeRoad Inc; Ciudad de México; Remote; MXN 1,540,000 - 3,080,000; Full time

Benefits offered by this job

Remote USA contractor

Competitive USD pay

Holidays & PTO

Health insurance support

Exposure to cutting-edge tech stacks

Job summary

CodeRoad Inc seeks an experienced Data Engineer to architect and scale data models, lead architectural decisions, and build production-grade data services on Python-based stacks. You will streamline pipelines using Airflow or Cloud Composer and collaborate with Finance and Operations leaders.

You will work 100% remotely for US-based clients, earning competitive USD pay and gaining exposure to cutting-edge tech stacks. Strong English communication is essential.

Qualifications

• 5+ years of hands-on data engineering experience with architectural leadership.
• Strong SQL and data modeling skills.
• Proficient in modern transformation tools (dbt, Dataform).
• Experience with cloud data platforms and data warehousing.
• Excellent English communication.

Responsibilities

• Architect and scale data models across heterogeneous sources.
• Drive engineering standards for cloud warehousing and pipelines.
• Build production-grade data services and APIs in Python.
• Orchestrate automated pipelines with Airflow/Cloud Composer.
• Collaborate with executives across Finance and Ops.

Skills

Data engineering

Cloud data platforms

English fluency

End-to-end ownership

Tools

Google Cloud Platform (GCP)

Google BigQuery

dbt

Dataform

Apache Airflow

Job description

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 Data Models: Design and implement robust, normalized data models capable of harmonizing complex, heterogeneous source systems into a unified single source of truth.
• Drive Strategic Engineering Standards: Lead org-wide architectural decisions across cloud warehousing, orchestration, and pipeline reliability, establishing benchmarks for performance and maintainability.
• Build Production-Grade Services: Develop and maintain high-throughput backend data services, microservices, and internal tooling using Python and modern frameworks such as FastAPI or Flask.
• Orchestrate Automated Pipelines: Engineer and optimize scalable transformation pipelines and workflow automation using dbt, Dataform, and Apache Airflow (or Google Cloud Composer).
• Ensure Data Trustworthiness & Resilience: Implement comprehensive data quality frameworks featuring automated testing, anomaly detection, real-time observability, and disciplined incident response protocols.
• Cross-Functional Technical Leadership: Partner closely with executive stakeholders across Finance and Operations, translating complex technical tradeoffs into clear, actionable business strategies.

What You Bring

• Extensive Domain Expertise: 5+ years of hands-on data engineering experience, with demonstrated leadership in driving org-wide architecture and foundational data systems.
• Core Cloud Stack Mastery: Strong expertise in Google Cloud Platform (GCP), particularly Google BigQuery, preferred, and modern transformation frameworks (dbt or Dataform), backed by advanced SQL proficiency.
• Advanced Python Engineering: Proven ability to build, deploy, and support production services, RESTful APIs, or microservices within cloud environments.
• Scalable Orchestration & Modeling: Demonstrated success managing distributed workflows using Airflow or Cloud Composer, alongside expertise in relational and analytical dimensional modeling.
• Autonomous Ownership: Exceptional analytical mindset with end-to-end accountability for system reliability, data hygiene, and performance optimization.
• Communication & English Fluency: Advanced English proficiency (C1/C2, written and verbal) with the ability to articulate technical architecture to US-based cross-functional partners.

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.