Cloud Data Engineer

Overview

Remote
On Site
Hybrid
BASED ON EXPERIENCE
Contract - Independent
Contract - W2
Contract - 6+ mo(s)

Skills

Employment Authorization
Risk Management
Migration
Microsoft SQL Server
Collaboration
Performance Tuning
Workflow
Data Quality
Cloud Computing
Computer Science
Information Systems
Data Engineering
SQL Azure
SQL
ELT
Extract
Transform
Load
Version Control
Continuous Integration
Continuous Delivery
DevOps
GitHub
Analytical Skill
Financial Services
Microsoft
Microsoft Azure
Analytics
SANS
Agile
FOCUS
Professional Services
Genetics
Law

Job Details

Position: Cloud Data Engineer
Location: Minneapolis, MN
Duration: 6 months
Compensation:
$50/hr. - $58.50/hr.
Work Authorization:
, Holders or Authorized to Work in the US.

Job Summary

The Cloud Data Engineer contractor will support Risk Technology Services in migrating and modernizing its on-premises Microsoft SQL Server-based data platform to Azure. This role focuses on building and optimizing scalable, secure, and efficient cloud-native data pipelines and platforms in collaboration with cross-functional teams. The ideal candidate brings hands-on experience with Azure data services, strong SQL and ETL skills, and a practical understanding of cloud migration workflows.

Key Responsibilities:

  • Support the execution of the team's cloud data strategy through development and migration tasks.
  • Build and maintain robust, secure, and efficient data pipelines using Azure Data Factory, Synapse Analytics, and Azure SQL.
  • Migrate existing on-premises SQL Server data and ETL processes to Azure-based solutions.
  • Collaborate with engineering and business stakeholders to translate data requirements into production-grade solutions.
  • Perform data transformation, validation, and performance tuning across cloud data workflows.
  • Support automation efforts through CI/CD pipelines and DevOps best practices.
  • Ensure data quality, integrity, and operational support for cloud-based processes.
Qualifications:
  • Bachelor degree in Computer Science, Information Systems, or related field (or equivalent experience).
  • Minimum 3-5 years of experience, preferably 5-10 in data engineering, including at least 1-2 years working with Azure data services.
  • Hands-on experience with tools such as Azure Data Factory, Synapse, Azure SQL, ADLS, and Key Vault.
  • Proficiency in SQL and ELT/ETL processing.
  • Experience with version control systems and CI/CD pipelines (e.g., Azure DevOps, GitHub).
  • Strong analytical and troubleshooting skills with the ability to work independently and collaboratively.

Preferred Qualifications:
  • Experience supporting enterprise-scale data environments in financial services or risk domains.
  • Familiarity with Microsoft Fabric or modern medallion/lakehouse architectures.
  • Exposure to Azure governance and monitoring tools (e.g., Purview, Monitor, Log Analytics).
  • Comfortable working in an Agile environment with distributed teams.

Our benefits package includes:
  • Comprehensive medical benefits
  • Competitive pay
  • 401(k) retirement plan
  • and much more!

About INSPYR Solutions
Technology is our focus and quality is our commitment. As a national expert in delivering flexible technology and talent solutions, we strategically align industry and technical expertise with our clients' business objectives and cultural needs. Our solutions are tailored to each client and include a wide variety of professional services, project, and talent solutions. By always striving for excellence and focusing on the human aspect of our business, we work seamlessly with our talent and clients to match the right solutions to the right opportunities. Learn more about us at inspyrsolutions.com.

INSPYR Solutions provides Equal Employment Opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability, or genetics. In addition to federal law requirements, INSPYR Solutions complies with applicable state and local laws governing nondiscrimination in employment in every location in which the company has facilities

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

About INSPYR Solutions