Senior Data Engineer

CodeRoad

. Design and implement robust, normalized data models that harmonize complex, heterogeneous source systems into a unified single source of truth .

Posted 11/10/2026contractRemoteSeniorWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in designing and implementing robust data models and scalable transformation pipelines, with a strong focus on cloud data warehousing and performance optimization. Proven ability to lead architectural decisions and collaborate with stakeholders to translate technical solutions into business strategies.

Highest-signal resume keywords

Data Engineering ExperienceCloud Data WarehousingPython DevelopmentSQL ProficiencyWorkflow Automation

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data ModelingMicroservices DevelopmentRESTful APIsPerformance OptimizationData Quality FrameworksAutomated TestingAnomaly DetectionDimensional ModelingCloud EnvironmentsDistributed Workflows

Soft Skills

Analytical MindsetCross-Functional CommunicationLeadership

Tools & Technologies

Google BigQueryDbtDataformApache AirflowGoogle Cloud ComposerFastAPIFlask

Industry Keywords

Data EngineeringCloud ArchitectureData HygieneSystem ReliabilityPerformance Benchmarking

Tech Stack

Tools & technologies

AirflowApacheBigQueryCloudFlaskMicroservicesPythonSQL

About the role

Key responsibilities & impact

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
Establish benchmarks for performance and maintainability
Develop and maintain high-throughput backend data services, microservices, and internal tooling using Python and modern 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 incident response protocols
Partner with executive stakeholders across Finance and Operations to translate technical tradeoffs into actionable business strategies

Requirements

What you’ll need

5+ years of hands-on data engineering experience, with demonstrated leadership in driving org-wide architecture and foundational data systems
Deep expertise in modern cloud data warehouses; Google BigQuery preferred
Expertise in dbt or Dataform
Advanced SQL proficiency
Proven ability to build, deploy, and support production services, RESTful APIs, or microservices within cloud environments
Demonstrated success managing distributed workflows using Airflow or Cloud Composer
Expertise in relational and analytical dimensional modeling
Exceptional analytical mindset with end-to-end accountability for system reliability, data hygiene, and performance optimization
Advanced English proficiency (C1/C2, written and verbal)
Ability to articulate technical architecture to US-based cross-functional partners

Benefits

Comp & perks

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
Agentic AI tools and training
Coursera Enterprise
Studio practice labs
High-touch onboarding
Transparent leadership communication
Community recognition
Psychological safety
Continuous multi-project pipeline
L1-L7 Career Framework