> Markdown version of [/jobs/ext/562571-azure-data-engr](https://www.wearedevelopers.com/jobs/ext/562571-azure-data-engr). 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). --- # Azure Data Engr - **Company:** Acclive Inc. - **Location:** Houston, TX, United States - **Contract:** Permanent contract - **Skills:** Agile Methodology, Data Analysis, Microsoft Azure, Microsoft Online Services, Data Warehousing, IBM InfoSphere DataStage, Apache Hive, Job Scheduling, Python (Programming Language), Microsoft SQL Server, SQL Azure, Azure Data Lake, SQL Databases, SQL Server Integration Services, Azure Data Factory, Git, Build Management, Data Lakes, Pyspark, Git Flow, Azure Synapse Analytics, Software Version Control, Databricks - **Published:** June 15, 2026 - **Apply:** https://www.dice.com/job-detail/6c0732b5-b8a1-4f2e-8ca9-566cbc3e6540 ## About the Role Design and Build the integration jobs that move data from existing SoR applications into and throughout the Microsoft Cloud environment (Data Lake, Azure SQL, Azure DWH) leveraging client's common/standard integration patterns, tools and languages (Azure Data Factory, Databricks, Synapse, Spark SQL, Python, PySpark) Technical Skills: Azure Data Factory (ADF) Azure Databricks Python Spark SQL & PySpark Azure Synapse, Azure SQL, Azure DWH Azure Data Lake Storage / Analytics Azure Database Migration Services Knowledge in older integration and storage tools is beneficial (MS SQL Server, MS SSIS, IBM DataStage, etc.) Soft Skills: Ability to navigate and comprehend mapping documents Experience with CI/CD pipelines, branching strategies, & GIT for code management Experience with Azure DevOps (ADO) tool for work management Practitioner of Agile/SAFe practices Experience with Job Scheduling tools Experience in Oil & Gas domain is mandatory ## Related Videos - [Git for Code Reviews](https://www.wearedevelopers.com/videos/429-git-for-code-reviews) - [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) - [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) - [Why Git Still Matters](https://www.wearedevelopers.com/videos/100288-why-git-still-matters) - [Applying DevOps in Flutter mobile development](https://www.wearedevelopers.com/videos/60-applying-devops-in-flutter-mobile-development) ## Related Articles - [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 Big Data Technologies That You Need to Know](https://www.wearedevelopers.com/magazine/108-top-big-data-technologies-that-you-need-to-know) - [Making Data Warehouses Fast: A Developer’s Story](https://www.wearedevelopers.com/magazine/107-making-data-warehouses-fast-a-developer-s-story) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [Data Engineer Salary UK](https://www.wearedevelopers.com/magazine/253-data-engineer-salary-uk) - [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)