Senior Data Engineer

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: Deep expertise in modern cloud data warehouses (Google BigQuery preferred) and 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.

Ready to Build What Actually Ships?

Explore opportunities and submit your application today!