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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Data Engineer - **Company:** Computer Task Group, Inc - **Location:** United States (Remote available) - **Experience:** Expert - **Salary:** $104,000.0 - $114,400.0 - **Contract:** Temporary contract - **Skills:** Agile Methodology, JIRA, Big Data, Cloud Database, Code Review, Information Systems, Continuous Integration, Data Architecture, Information Engineering, Data Integration, Extract Transform Load (ETL), Data Structures, Data Systems, Data Warehousing, Identity and Access Management, Metadata, Systems Integration, Teradata SQL, Enterprise Data Management, Data Processing, Data Ingestion, Snowflake, Apache Spark, Microsoft Fabric, Pyspark, Information Technology, Data Management, Dynamic Data, Data Pipelines, Jenkins, Databricks - **Published:** July 31, 2026 - **Apply:** https://www.dice.com/job-detail/68a2c083-6721-46f0-8efb-6d6b013ef819 ## About the Role Required * Strong experience with Microsoft Fabric, including: + Lakehouse architecture and implementation + Spark Notebook development + Schema design and management + File and folder structure management + Security, permissions, and access management * Hands-on Spark or PySpark development experience. * Experience building and orchestrating enterprise data pipelines. * Experience integrating data from multiple source systems (10+ preferred). * Strong understanding of lakehouse data structures and data organization. * Excellent analytical, troubleshooting, and problem-solving skills. Preferred * Databricks lakehouse engineering experience or experience with other modern lakehouse platforms. * Experience with cloud-based data engineering environments. * Jira, Kanban, and Agile methodologies. * Jenkins and CI/CD pipeline implementation. * Experience with enterprise data warehouse platforms such as Snowflake or Teradata. Experience: * 5+ years of experience in Data Engineering, Data Warehousing, or related disciplines. * Proven experience designing and implementing scalable enterprise data platforms. * Strong hands-on experience with Spark/PySpark for large-scale data processing. * Experience developing modern lakehouse solutions using Microsoft Fabric, Databricks, or similar technologies. * Experience integrating and managing large, complex datasets from multiple enterprise systems. * Strong understanding of data modeling, ETL/ELT processes, and enterprise data architecture. * Experience working within Agile software development environments. Education: * Bachelor's degree in Computer Science, Information Systems, Engineering, Data Science, or a related technical field. * Equivalent combination of education and relevant professional experience will also be considered. Excellent verbal and written English communication skills and the ability to interact professionally with a diverse group are required. ## Description Join a dynamic data engineering team responsible for designing and delivering modern lakehouse solutions that support enterprise analytics and data-driven decision-making. This role focuses on building scalable data pipelines, implementing Microsoft Fabric lakehouse architectures, and developing Spark/PySpark solutions that integrate data from multiple enterprise systems. Candidates with Databricks or comparable lakehouse platform experience are also encouraged to apply., * Design, develop, and support enterprise data engineering solutions using Microsoft Fabric. * Build and maintain scalable lakehouse architectures, including schema design and data organization. * Develop Spark Notebooks and Spark/PySpark applications for data ingestion, transformation, and processing. * Create and orchestrate reliable data pipelines integrating data from numerous enterprise source systems. * Design and manage file structures, metadata, and storage organization within lakehouse environments. * Implement and maintain security, permissions, and governance across Microsoft Fabric workspaces. * Optimize data processing performance and troubleshoot production issues. * Collaborate with architects, analysts, and business stakeholders to deliver high-quality data solutions. * Participate in Agile development processes, code reviews, testing, and CI/CD deployment activities. * Contribute to continuous improvement of data engineering standards and best practices. ## Related Videos - [PySpark - Combining Machine Learning & Big Data](https://www.wearedevelopers.com/videos/44-pyspark-combining-machine-learning-big-data) - [Modern Data Architectures need Software Engineering](https://www.wearedevelopers.com/videos/1030-modern-data-architectures-need-software-engineering) - [The Road to MLOps: How Verivox Transitioned to AWS](https://www.wearedevelopers.com/videos/1050-the-road-to-mlops-how-verivox-transitioned-to-aws) - [Collaboration Quantified: Lessons from Open Source Developer Networks](https://www.wearedevelopers.com/videos/1422-collaboration-quantified-lessons-from-open-source-developer-networks) - [Data Science in Retail](https://www.wearedevelopers.com/videos/586-data-science-in-retail) - [Empowering Retail Through Applied Machine Learning](https://www.wearedevelopers.com/videos/976-empowering-retail-through-applied-machine-learning) ## Related Articles - [Making Data Warehouses Fast: A Developer’s Story](https://www.wearedevelopers.com/magazine/107-making-data-warehouses-fast-a-developer-s-story) - [Data Engineer Salary UK](https://www.wearedevelopers.com/magazine/253-data-engineer-salary-uk) - [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) - [Fully Remote Software Engineer Jobs](https://www.wearedevelopers.com/magazine/447-fully-remote-software-engineer-jobs) - [The Most Popular IT Jobs on the Market](https://www.wearedevelopers.com/magazine/376-the-most-popular-it-jobs-on-the-market)