Senior Data Engineer

CodeRoad

. Design, build, and maintain high-performance batch and real-time streaming data pipeline architectures .

Posted 11/4/2026contractRemoteSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in designing and maintaining high-performance data pipelines, utilizing advanced skills in Python, SQL, and cloud technologies such as Azure and GCP. Proven ability to collaborate with cross-functional teams and drive technical discussions while ensuring data governance and optimizing workflows.

Highest-signal resume keywords

Data Engineering ExperienceAdvanced Python ProficiencyComplex SQL ExpertiseHands-On Experience with DatabricksExperience with Azure Data Factory

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data ModelingMetadata ManagementWorkload OrchestrationETL/ELT Pipeline DevelopmentApache SparkBatch Data ProcessingReal-Time Streaming DataData GovernanceData IngestionData Tooling

Soft Skills

Exceptional Communication SkillsTechnical Conversation Facilitation

Tools & Technologies

AzureGCPDatabricksAzure SynapseGoogle BigQueryAzure Data Factory

Industry Keywords

Data Pipeline ArchitectureData FreshnessScalabilityFault ToleranceSemi-Structured DataUnstructured Data

Tech Stack

Tools & technologies

ApacheAzureBigQueryCloudETLGoogle Cloud PlatformPythonSparkSQL

About the role

Key responsibilities & impact

Design, build, and maintain high-performance batch and real-time streaming data pipeline architectures
Ingest, process, and reliably deliver large, complex datasets
Automate manual workflows and optimize query execution
Re-engineer cloud infrastructure to improve data freshness, scalability, and fault tolerance
Build production-grade ETL/ELT pipelines using Python, SQL, Azure, and/or GCP
Extract and unify data across distributed sources
Develop, test, and maintain data tooling, data marts, and feature stores
Enable analytics engineers and data scientists to deploy performant models and business intelligence solutions
Collaborate with cross-functional stakeholders in North America
Lead root cause analysis on pipeline bottlenecks
Manage dependencies and ensure sound data governance across environments

Requirements

What you’ll need

4+ years of professional experience in data engineering
Proven expertise in data modeling, metadata management, and workload orchestration
Advanced proficiency in Python and complex SQL
Hands-on production experience with Databricks
Practical experience with Apache Spark
Experience with Azure Data Factory, Azure Synapse, or Google BigQuery
Experience architecting stream-based and batch-oriented data pipelines
Experience handling semi-structured and unstructured data at scale
Advanced English proficiency (B2+/C1)
Exceptional written and spoken communication skills
Comfortable driving technical conversations with U.S.-based engineering teams aligned to East or West Coast business hours

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
Direct engagement with U.S. client teams and roadmaps