> Markdown version of [/jobs/ext/917382-data-engineer](https://www.wearedevelopers.com/jobs/ext/917382-data-engineer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Data Engineer - **Company:** Inspyr Solutions - **Location:** Spring, TX, United States - **Experience:** Expert - **Salary:** $145,600.0 - $176,800.0 - **Contract:** Permanent contract - **Skills:** Automation of Tests, Microsoft Azure, Business Intelligence Development, Continuous Delivery, Continuous Integration, Data Architecture, Data Validation, Information Engineering, Data Infrastructure, Data Integration, Extract Transform Load (ETL), Data Transformation, Data Systems, Data Visualization, Data Warehousing, DevOps, Dimensional Modeling, Apache Hive, Microsoft SQL Server, Power BI, Standard Sql, DataOps, Azure Data Factory, System Availability, Git, Data Layers, Data Lakes, Azure Synapse Analytics, Software Version Control, Data Pipelines, Databricks - **Published:** June 8, 2026 - **Apply:** https://www.dice.com/job-detail/dca8e971-38e8-4b18-ab57-39a645c51dfa ## About the Role * 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. ## 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., 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. ## Related Videos - [From Messy Queries to Scalable Systems - How Data Engineering actually works](https://www.wearedevelopers.com/videos/100203-from-messy-queries-to-scalable-systems-how-data-engineering-actually-works) - [How a Small Team Shrank a Microsoft Monorepo by 94%](https://www.wearedevelopers.com/videos/1236-how-a-small-team-shrank-a-microsoft-monorepo-by-94) - [From DevOps to Scaled DevOps: How We’re Rebuilding Continuous Delivery as a Platform](https://www.wearedevelopers.com/videos/100018-from-devops-to-scaled-devops-how-we-re-rebuilding-continuous-delivery-as-a-platform) - [Enjoying SQL data pipelines with dbt](https://www.wearedevelopers.com/videos/823-enjoying-sql-data-pipelines-with-dbt) - [Git for Code Reviews](https://www.wearedevelopers.com/videos/429-git-for-code-reviews) - [DevOps Maturity Check – a way to balance autonomy and alignment](https://www.wearedevelopers.com/videos/58-devops-maturity-check-a-way-to-balance-autonomy-and-alignment) ## Related Articles - [Data Engineer Salary UK](https://www.wearedevelopers.com/magazine/253-data-engineer-salary-uk) - [Making Data Warehouses Fast: A Developer’s Story](https://www.wearedevelopers.com/magazine/107-making-data-warehouses-fast-a-developer-s-story) - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [What Are The Top Skills Required For Azure Developers?](https://www.wearedevelopers.com/magazine/77-what-are-the-top-skills-required-for-azure-developers) - [Top-Paying Tech Jobs (with Salaries)](https://www.wearedevelopers.com/magazine/372-top-paying-tech-jobs-with-salaries)