Senior Data Engineer

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
• Architect & Build Data Pipelines: Lead the design and implementation of scalable, production-grade ETL/ELT pipelines for large-scale data ingestion, transformation, and processing using tools like Apache Spark, Airflow, Kafka, and dbt.
• Evolve Cloud Data Architecture: Design and optimize cloud data warehouses, lakes, and lakehouses (Snowflake, Databricks, BigQuery, or Amazon Redshift) to support advanced analytics, BI, and reporting workloads.
• Drive Data Quality & Observability: Implement automated data validation schemas, monitoring frameworks, and testing suites to ensure low-latency performance, high data accuracy, and strict security compliance.
• Master Data Modeling & Optimization: Engineer resilient data models utilizing enterprise frameworks (Star Schema, Data Vault 2.0, Dimensional Modeling) while tuning query performance and storage efficiency.
• Collaborate Across Engineering PODs: Partner closely with Data Scientists, ML Engineers, and Business Analytics stakeholders to translate complex business objectives into scalable technical data architectures.
• Elevate Team Standards: Mentor mid-level and junior data engineers, establish automated deployment patterns for data pipelines, and maintain comprehensive architectural documentation. What You Bring
• Core

Experience:
5+ years of dedicated professional data engineering experience, with a proven track record of architecting distributed data platforms in high-velocity startup or nearshore environments.
• Data Tech Stack Mastery: Deep hands-on experience with modern data orchestration and processing engines (Spark, Airflow, Kafka, dbt) and cloud data warehouses (Snowflake, Databricks, BigQuery, or Redshift).
• Programming & Scripting: Advanced proficiency in Python or Scala, coupled with expert-level mastery of complex SQL performance tuning and query optimization.
• Cloud Infrastructure & Modeling: Hands-on experience building enterprise data solutions on AWS, Azure, or GCP, alongside a deep command of data modeling paradigms (Star Schema, Data Vault).
• Ownership Mindset: Strong autonomous troubleshooting capabilities, a passion for data integrity, and a proactive approach to optimizing workflow efficiencies.
• Language Proficiency: Advanced English fluency (both written and spoken) is mandatory for direct, real-time collaboration with U.
S.-based client teams and stakeholders. 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