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
We are seeking a Data Engineer for a contract role with INSPYR Solutions, based onsite in Spring, TX. The position focuses on designing scalable data models and Azure-based pipelines to enable organization-wide analytics and business intelligence. The assignment requires onsite work in Spring, TX, three days per week.
Job Details
- Location: Spring, TX (onsite)
- Job Type: Contract
- Salary: USD 70 - 85 per hour
- Required Experience: 5 years minimum
Responsibilities
- Design and maintain dimensional data models and semantic layers to support enterprise reporting and analytics, applying data warehousing and architecture best practices.
- Develop scalable, modular ETL and ELT pipelines using Azure Data Factory, Synapse Pipelines, and Databricks.
- Transform raw data into analytics-ready structures with Spark SQL, DBT, and Azure Synapse; implement data quality checks and schema evolution strategies.
- Leverage Azure services including SQL Server, Synapse Analytics, Databricks, and Delta Lake to build and manage scalable data infrastructure and pipelines.
- Integrate data workflows with Azure DevOps and Git for version control, automated testing, and continuous deployment.
- Collaborate with analysts and BI developers to ensure data models support reporting and visualization in tools such as Power BI.
- Monitor data pipelines and models, troubleshoot issues, and optimize for high availability and performance.
- Continuously adopt and apply current data engineering practices, tools, and technologies.
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 systems such as Git and Azure DevOps.
- Familiarity with Power BI or similar visualization tools.
- Solid understanding of data integration, data quality, and data transformation best practices.
- Demonstrated problem-solving ability and a collaborative mindset.
Technologies
- Azure Data Factory
- Azure Synapse Analytics
- Databricks
- DBT
- Spark SQL
- SQL Server
- Delta Lake
- Power BI
- Azure DevOps
- Git
Benefits
- Comprehensive medical benefits
- Competitive pay with a 401(k) plan
- Retirement plan
- Additional benefits available
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