> Markdown version of [/jobs/ext/2021031-data-engineer](https://www.wearedevelopers.com/jobs/ext/2021031-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:** TechniPros, LLC - **Location:** San Antonio, TX, United States (Remote available) - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Microsoft Azure, Information Engineering, Data Governance, Extract Transform Load (ETL), Data Warehousing, Python (Programming Language), Power BI, Standard Sql, Azure Data Lake, Data Ingestion, Azure Data Factory, Apache Spark, HybridCloud, Microsoft Fabric, Azure Synapse Analytics, Data Pipelines - **Published:** August 11, 2026 - **Apply:** https://www.dice.com/job-detail/e77da80e-bfa8-4483-9940-2a587cfb755f ## About the Role * Microsoft Fabric * Azure Data Factory * Azure Synapse * Azure Data Lake * Spark * Python * SQL * Power BI * Microsoft Purview * Azure DevOps * ETL Mandatory Skills: * Microsoft Fabric * Azure Data Factory * Synapse Analytics * Azure Data Lake * Spark * SQL * Python * Power BI * ETL ## Description We are hiring an Azure Data Engineer with strong expertise in Microsoft Fabric, Azure Data Factory, Synapse Analytics, and enterprise cloud data engineering. The ideal candidate will build scalable analytics platforms and AI-ready data pipelines., * Build enterprise data pipelines using Azure Data Factory. * Develop Lakehouse solutions using Microsoft Fabric. * Design data warehouses using Synapse Analytics. * Develop Spark notebooks. * Build real-time ingestion pipelines. * Implement data governance using Microsoft Purview. * Optimize Power BI semantic models. * Develop scalable ETL pipelines. * Collaborate with AI and analytics teams. ## Related Videos - [PySpark - Combining Machine Learning & Big Data](https://www.wearedevelopers.com/videos/44-pyspark-combining-machine-learning-big-data) - [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) - [Beyond Dashboards: Fixing Text-to-SQL with Semantic RAG](https://www.wearedevelopers.com/videos/2036-beyond-dashboards-fixing-text-to-sql-with-semantic-rag) - [Data Analytics with Microsoft Fabric: End-to-End Use Case with Data Agents](https://www.wearedevelopers.com/videos/1547-data-analytics-with-microsoft-fabric-end-to-end-use-case-with-data-agents) - [Enjoying SQL data pipelines with dbt](https://www.wearedevelopers.com/videos/823-enjoying-sql-data-pipelines-with-dbt) - [REST, GraphQL, gRPC, and more: A comparison of modern API styles](https://www.wearedevelopers.com/videos/100247-rest-graphql-grpc-and-more-a-comparison-of-modern-api-styles) ## Related Articles - [Top Big Data Technologies That You Need to Know](https://www.wearedevelopers.com/magazine/108-top-big-data-technologies-that-you-need-to-know) - [What Are The Top Skills Required For Azure Developers?](https://www.wearedevelopers.com/magazine/77-what-are-the-top-skills-required-for-azure-developers) - [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) - [The Most Popular IT Jobs on the Market](https://www.wearedevelopers.com/magazine/376-the-most-popular-it-jobs-on-the-market) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers)