Data Engineer
Analytics
Azure
Azure Data Factory
Azure Databricks
Azure Synapse Analytics
Business Analytics
Business Intelligence
Data Analysis
Data Analytics
Data Architecture
Data Engineer
Data Integration
Data Lake
Data Lakehouse
Data Pipeline
Data Platform
Data Processing
Data Visualization
Data Warehouse
Database
Databricks
ETL
Integration
Microsoft Azure
MS SQL
Power BI
Reporting and Analytics
Spark Sql
SQL
Job Description
This Data Engineer role at INSPYR Solutions is based in Spring, Texas and requires onsite work three days per week. The position centers on designing scalable data models and Azure based pipelines to support analytics and business intelligence across the organization.
Location and Schedule
Spring, TX — onsite. Three days per week on site.
Compensation and Contract Type
Hourly rate of USD 70 to 85; this is a contract engagement.
Responsibilities
- Design and implement dimensional data models and semantic layers to support enterprise reporting and analytics, applying best practices in data warehousing and architecture.
- Build modular, reusable ETL and ELT pipelines using Azure Data Factory, Synapse Pipelines, and Databricks.
- Transform and structure data with Spark SQL, DBT, and Azure Synapse to deliver analytics-ready formats, including data quality checks and schema evolution strategies.
- Leverage Azure technologies such as SQL Server, Synapse Analytics, Databricks, and Delta Lake to construct 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 deployment.
- Support reporting and visualization 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.
Requirements
- 5–7 years of experience in data engineering or related roles.
- Proven expertise in data modeling (with emphasis on 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
Benefits
- Comprehensive medical benefits
- Competitive pay, 401(k)
- Retirement plan
- …and much more!
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