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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Data Engineer - Microsoft Fabric / Azure - Intermediate - **Company:** ION SYSTEMS, INC. - **Location:** Philadelphia, PA, United States (Remote available) - **Experience:** Expert - **Salary:** $104,000.0 - $114,400.0 - **Contract:** Temporary to permanent - **Skills:** Application Programming Interfaces (APIs), Data Analysis, Microsoft Azure, Software as a Service, Databases, Information Engineering, Data Governance, Data Infrastructure, Extract Transform Load (ETL), Data Transformation, Relational Databases, Document-Oriented Databases, Python (Programming Language), Meta-Data Management, Power BI, DataOps, Azure Data Lake, Software Deployment, SQL Databases, Transact-SQL, Enterprise Software Applications, Azure Data Factory, Apache Spark, Git, Data Layers, Microsoft Fabric, Data Lakes, Pyspark, Semi-structured Data, Deployment Automation, Tools for Reporting, Restful APIs, Data Pipelines - **Published:** August 29, 2026 - **Apply:** https://www.careerjet.com/jobad/us8ab1582eb0165da7a38b37645f8f9836 ## About the Role * 7+ years of experience in data engineering and enterprise data integration. * Strong hands-on experience with Microsoft Fabric and related Azure data services. * Strong experience with PySpark, SparkSQL, Python, and SQL/T-SQL. * Experience building ingestion and transformation pipelines from APIs, files, databases, and third-party platforms. * Experience with curated data layers, data modeling, and analytics-ready datasets. * Experience tuning data pipelines for scale, resiliency, and cost optimization. * Working knowledge of security, access controls, and data governance practices. * Experience with Azure DevOps and Git-based deployment automation., Preferred / Nice-to-Have Skills * Experience with Microsoft Fabric Lakehouse and Warehouse architectures. * Experience with OneLake. * Experience with Fabric Data Factory / Data Pipelines. * Experience with Azure Data Factory. * Experience with Azure Data Lake Storage (ADLS Gen2). * Experience with Delta Lake / Delta tables. * Knowledge of medallion architecture Bronze, Silver, and Gold data layers. * Experience supporting enterprise analytics or reporting platforms such as Power BI. * Experience designing reusable ingestion frameworks and metadata-driven pipelines. * Understanding of data observability, lineage, metadata management, and governance frameworks. * Experience working within large enterprise or SaaS/product technology environments. Required Skills & Qualifications Additional Criteria * Strong understanding of ETL/ELT architecture and data integration patterns. * Experience implementing data-quality checks, error handling, monitoring, and recovery mechanisms. * Strong troubleshooting and analytical skills. * Ability to work effectively in a distributed, fully remote engineering environment. ## Description * Design, develop, and maintain scalable enterprise data pipelines using Microsoft Fabric and Azure data services. * Build ingestion frameworks for structured and semi-structured data from REST APIs, flat files, relational databases, cloud platforms, third-party applications and enterprise systems. * Develop complex data transformation and processing workflows using PySpark, SparkSQL, Python, SQL, and T-SQL. * Build and maintain raw, curated, and analytics-ready data layers supporting reporting, analytics, and downstream applications. * Design efficient data models and datasets optimized for analytical consumption. * Implement data quality, validation, reconciliation, and monitoring mechanisms across ingestion and transformation pipelines. * Troubleshoot pipeline failures, performance bottlenecks, data-quality issues, and integration problems. * Collaborate with architects and business teams to translate data requirements into scalable technical solutions. * Support production deployments, monitoring, troubleshooting, and continuous improvement of the data platform. * Document data flows, transformation logic, technical designs, dependencies, and operational procedures. ## Related Videos - [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) - [PySpark - Combining Machine Learning & Big Data](https://www.wearedevelopers.com/videos/44-pyspark-combining-machine-learning-big-data) - [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) - [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) - [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) ## Related Articles - [Data Engineer Salary UK](https://www.wearedevelopers.com/magazine/253-data-engineer-salary-uk) - [What Are The Top Skills Required For Azure Developers?](https://www.wearedevelopers.com/magazine/77-what-are-the-top-skills-required-for-azure-developers) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [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) - [Fully Remote Software Engineer Jobs](https://www.wearedevelopers.com/magazine/447-fully-remote-software-engineer-jobs)