Job Title : Azure Data Engineer / Senior Data Engineer Consultant Job Location : Remote Job Duration : 6 month(s)+ (Contract) Employment Type: W-2 Only
Mandatory skills :
Snowflake
Azure Data Factory
Azure Data Lake Storage
Detailed Job Description:
Seeking a hands-on Senior Data Engineer Consultant to rapidly design, build, and deploy scalable enterprise data products.
The successful consultant will combine strong technical depth with a bias for action, end-to-end ownership, and disciplined delivery. Core Responsibilities
Design, develop, test, review and support enterprise data pipelines using Snowflake, Azure Data Factory, Azure Data Lake Storage, SQL, and Python.
Build and optimize bronze, silver, and gold data products using scalable ETL/ELT, data modeling, orchestration, and data quality practices.
Translate business requirements into production-ready technical solutions, delivering from design through deployment and support.
Troubleshoot UAT and Production issues, perform root-cause analysis, and implement sustainable fixes.
Create reusable engineering patterns and clear technical documentation; collaborate effectively in Agile teams with architects, product owners, engineers, and business stakeholders.
Comfortable using AI to develop using specs - design, code, build, and review production grade pipelines. Required Technical Skills
Platforms Snowflake; Azure Data Factory; Azure Data Lake Storage Engineering Advanced SQL; Python; ETL/ELT; pipeline orchestration Architecture Data warehousing; dimensional modeling; medallion architecture Operations Performance tuning; data quality; observability; production support Delivery Git; CI/CD; automated testing.
Agile delivery Experience and Delivery Profile 10+ years of hands-on data engineering experience delivering production-grade pipelines and enterprise data products.
Proven ability to work independently, manage technical risks and dependencies, and deliver committed outcomes with minimal supervision.
Strong problem-solving, communication, and stakeholder collaboration skills in a fast-paced global environment.
Demonstrated focus on automation, scalability, maintainability, and measurable business value.
Preferred Experience Power BI, semantic modeling, or analytics enablement. Jira, Azure DevOps, ServiceNow, Control-M, or equivalent engineering and delivery tools.
AI-assisted development, agentic workflows, and modern data product architectures.
Commercial, customer, quality, field-service, or operational reporting data products.
Numbers & Facts
Location
Bolingbrook, IL (Remote)
Skills
Acceptance Testingunmatched
Agile Programming Methodologiesunmatched
Artificial Intelligence (AI)unmatched
Atlassian JIRAunmatched
Automationunmatched
Consultingunmatched
Continuous Deployment/Deliveryunmatched
Continuous Integrationunmatched
Data Lakeunmatched
Data Managementunmatched
Data Modelingunmatched
Data Qualityunmatched
Data Storageunmatched
Data Warehousingunmatched
Database Extract Transform and Load (ETL)unmatched
DevOpsunmatched
Dimensional Modelingunmatched
Engineeringunmatched
Engineering Consultingunmatched
Gitunmatched
Identify Issuesunmatched
Microsoft Windows Azureunmatched
On Site Supportunmatched
Performance Tuning/Optimizationunmatched
Power BIunmatched
Problem Solving Skillsunmatched
Product Engineeringunmatched
Production Supportunmatched
Python Programming/Scripting Languageunmatched
Requirements Managementunmatched
Risk Managementunmatched
Root Cause Analysisunmatched
SQL (Structured Query Language)unmatched
Scalable System Developmentunmatched
ServiceNowunmatched
Snowflake Schemaunmatched
Storage Softwareunmatched
Team Playerunmatched
Technical Deliveryunmatched
Technical Leadershipunmatched
Technical Writingunmatched
Test Automationunmatched
Test Plan/Scheduleunmatched
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