Data Engineer

Title: Data Engineer
Location: Spring, TX on site 3 days per week. Tues, Wed, Thurs onsite. Only candidates local to the Houston, TX area will be considered.
Duration: 6 months
Compensation: $70 to $85 per hour W2
Work Requirements: US Citizen, GC Holders or Authorized to Work in the US


Job Description:
We are looking for a highly motivated Data Engineer with a passion for data modeling, data architecture patterns, and modern engineering practices. In this role, you will be instrumental in designing and building scalable, reliable, and high-performance data solutions that power our analytics and business intelligence platforms.


You will work closely with senior data engineers and cross-functional teams to implement robust data models and pipelines using cutting-edge tools in the Azure ecosystem. This is a unique opportunity to shape the foundation of our data infrastructure and contribute to the evolution of our data products.


Duties/Responsibilities:

1. Design & Implement Data Models: Develop and maintain dimensional data models and semantic layers that support enterprise reporting and analytics. Apply best practices in data warehousing and data architecture.
2. Build Scalable Data Pipelines: Create modular, reusable, and pattern-driven ETL/ELT pipelines using Azure Data Factory, Synapse Pipelines, and Databricks.
3. Transform & Structure Data: Use Spark SQL, DBT, and Azure Synapse to transform raw data into structured, analytics-ready formats. Implement data quality checks and schema evolution strategies.
4. Leverage Azure Technologies: Utilize Azure services such as SQL Server, Synapse Analytics, Databricks, and Delta Lake to build and manage scalable data infrastructure. and data pipelines
5. Enable CI/CD & DevOps: Integrate data workflows with Azure DevOps and Git for version control, automated testing, and continuous deployment.
6. Support Reporting & Visualization: Collaborate with analysts and BI developers to ensure data models are optimized for tools like Power BI.
7. Troubleshoot & Optimize: Monitor and resolve issues in data pipelines and models. Ensure high availability and performance of data systems.
8. Stay Ahead of the Curve: Continuously learn and apply the latest in data engineering best practices, tools, and technologies.

Skillset / Experience:

• 5-7 years of experience in data engineering or related roles.
• Proven expertise in data modeling (especially dimensional modeling) and data warehouse design.
• Hands-on experience with Azure Data Factory, Synapse Analytics, Databricks, and DBT.
• Strong SQL and Spark SQL skills.
• Experience with CI/CD, DevOps, and version control (Git, Azure DevOps).
• Familiarity with Power BI or similar visualization tools.
• Solid understanding of data integration, data quality, and data transformation best practices.
• Strong problem-solving skills and a collaborative mindset.

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.


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