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 Robust Pipelines: Design, build, and maintain high-performance batch and real-time streaming data pipeline architectures that ingest, process, and deliver large, complex datasets reliably.

* Drive Automation & System Reliability: Identify opportunities to automate manual workflows, optimize query execution, and re-engineer cloud infrastructure to enhance data freshness, scalability, and system fault tolerance.

* Modernize Cloud Data Infrastructure: Build production-grade ETL/ELT pipelines using Python, SQL, and enterprise cloud ecosystems (Azure / GCP) to extract and unify data across distributed sources.

* Empower Analytics & AI Initiatives: Develop, test, and maintain tailored data tooling, data marts, and feature stores that enable analytics engineers and data scientists to deploy performant models and business intelligence solutions.

* Take Technical Ownership: Collaborate directly with cross-functional stakeholders in North America, leading root cause analysis on pipeline bottlenecks, managing dependencies, and ensuring sound data governance across environments.

What You Bring

* Proven Engineering Track Record: 4+ years of professional experience in data engineering, with proven expertise in data modeling, metadata management, and workload orchestration.

* Core Technology Mastery: Advanced proficiency in Python and complex SQL; hands-on production experience with Databricks (Scala experience is a strong plus).

* Big Data & Cloud Tooling: Practical experience with distributed processing engines like Apache Spark, paired with cloud data platforms such as Azure Data Factory, Azure Synapse, or Google BigQuery.

* Modern Pipeline Delivery: Solid track record architecting both stream-based and batch-oriented data pipelines capable of handling semi-structured and unstructured data at scale.

* Consultative Mindset & Communication: Advanced English proficiency (B2+/C1) with exceptional written and spoken communication skills, comfortable driving technical conversations with U.S.-based engineering teams aligned to East or West Coast business hours.

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!