> Markdown version of [/jobs/ext/2642199-microsoft-fabric-data-engineer](https://www.wearedevelopers.com/jobs/ext/2642199-microsoft-fabric-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). --- # Microsoft Fabric Data Engineer - **Company:** Ascii Group, LLC - **Location:** Richardson, TX, United States - **Experience:** Experienced - **Salary:** $133,120.0 - **Contract:** Temporary contract - **Skills:** Microsoft Azure, Computer Programming, Data Integration, Extract Transform Load (ETL), Data Mart, Data Transformation, Distributed Data Store, Apache Hive, Python (Programming Language), SQL Azure, Azure Data Lake, Scala (Programming Language), PL-SQL, SQL Databases, Data Streaming, Transact-SQL, Parquet, Azure Data Factory, Microsoft Fabric, Data Lakes, Pyspark, Star Schema, Azure Synapse Analytics, Data Pipelines, Databricks - **Published:** August 31, 2026 - **Apply:** https://www.dice.com/job-detail/25fef221-dd80-4779-a776-77888051b9d3 ## About the Role * · Minimum 7+ year of relevant experience in Azure data platform and 4+ years in designing, solutioning in Fabric, Databricks, PySpark and Azure Synapse * · Hands-on experience with Microsoft Fabric (Lakehouse, OneLake, Dataflows Gen2, Pipelines). * · Integrate Fabric capabilities for seamless data flow, governance, and collaboration across teams * · Strong understanding of Delta Lake, Parquet, and distributed data systems. * · Strong programming skills in Python, PySpark, Scala or Spark SQL/TSQL for data transformations. * · Strong experience in implementation and management of lake House using Databricks and Azure * · Tech stack (ADLS Gen2, ADF, Azure SQL) . * · Proficiency in data integration techniques, ETL processes and data pipeline architectures. * · Expert in writing T-SQL Synapse SQL Queries * · Expert in PL/SQL, Triggers Views, Indexes * · Expert in DB Model Schema like Star Schema, Snowflake Schema etc. * · Writing Poly base scripts for movement of Data from Data Lake to the staging area of the Azure Synapse (SQL Pools) * · Perform the design and extension of data marts, meta data, and data models. Must Have Skills: * · Microsoft Fabric * · Azure Synapse * · Databricks / PySpark * · Azure Data Factory / ADLS Gen2 * · T-SQL / SQL ## Related Videos - [PySpark - Combining Machine Learning & Big Data](https://www.wearedevelopers.com/videos/44-pyspark-combining-machine-learning-big-data) - [Parquet, Delta, Iceberg & Ducklake - An introduction for developers](https://www.wearedevelopers.com/videos/100075-parquet-delta-iceberg-ducklake-an-introduction-for-developers) - [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) - [Empowering Retail Through Applied Machine Learning](https://www.wearedevelopers.com/videos/976-empowering-retail-through-applied-machine-learning) - [Data Science in Retail](https://www.wearedevelopers.com/videos/586-data-science-in-retail) - [OLAP for AI Applications and why you should care](https://www.wearedevelopers.com/videos/100212-olap-for-ai-applications-and-why-you-should-care) ## 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) - [Making Data Warehouses Fast: A Developer’s Story](https://www.wearedevelopers.com/magazine/107-making-data-warehouses-fast-a-developer-s-story) - [Top Big Data Technologies That You Need to Know](https://www.wearedevelopers.com/magazine/108-top-big-data-technologies-that-you-need-to-know) - [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)