Data Engineer

INSPYR Solutions offers an onsite contract opportunity in Spring, Texas for a Data Engineer who will design scalable data models and Azure based pipelines to empower analytics and business intelligence across the organization. This role is carved for collaboration, technical growth, and delivering reliable data infrastructure. The compensation range is USD 70 to 85 per hour, with the work onsite three days per week.

Benefits

• Comprehensive medical benefits
• Competitive pay and 401(k)
• Retirement plan
• Onsite collaboration with a dedicated team and access to ongoing learning opportunities
• Contracts designed to support career growth and practical data engineering impact

Responsibilities

• Design and implement data models that support enterprise reporting and analytics, maintaining dimensional models and semantic layers while applying data warehousing best practices
• Build scalable, modular ETL and ELT pipelines using Azure Data Factory, Synapse Pipelines, and Databricks
• Transform and structure raw data with Spark SQL, DBT, and Azure Synapse to deliver analytics-ready data, including data quality checks and schema evolution strategies
• Leverage Azure technologies such as SQL Server, Synapse Analytics, Databricks, and Delta Lake to construct and manage scalable data infrastructure and pipelines
• Enable CI/CD and DevOps by integrating data workflows with Azure DevOps and Git for version control, automated testing, and continuous deployment
• Support reporting and visualization efforts by collaborating with analysts and BI developers to optimize data models for Power BI
• Troubleshoot and optimize data pipelines and models to ensure high availability and performance of data systems
• Stay current with evolving data engineering practices, tools, and technologies to maintain a forward-looking data stack

Requirements

• 5 to 7 years of experience in data engineering or related roles
• Proven expertise in data modeling, particularly 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 abilities and a collaborative mindset

Technologies

• Azure Data Factory
• Synapse Analytics
• Databricks
• DBT
• Spark SQL
• SQL Server
• Delta Lake
• Power BI
• Azure DevOps
• Git