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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Data Engineer - **Company:** Urus Group LLC - **Location:** United States (Remote available) - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Data Analysis, Microsoft Azure, Information Systems, Databases, Information Engineering, Data Infrastructure, Data Integration, Extract Transform Load (ETL), Data Warehousing, Python (Programming Language), Microsoft SQL Server, SQL Databases, SQL Server Reporting Services, SQL Server Integration Services, Data Streaming, Transact-SQL, Enterprise Software Applications, Cloud Platform System, Apache Spark, Microsoft Fabric, Data Lakes, Information Technology, Data Pipelines, Databricks - **Published:** August 28, 2026 - **Apply:** https://hdjm.fa.ca2.oraclecloud.com/hcmUI/CandidateExperience/en/sites/CX_5/jobs/preview/2115 ## About the Role * Bachelor's degree in Computer Science, Information Systems, or a related field. * Strong hands-on experience with Databricks, including Python, Spark, and Delta Lake. * Strong SQL Server and data warehousing experience, including T-SQL. * Experience with SSIS and SSRS. * Experience with Microsoft Azure; Microsoft Fabric is a plus. * Experience using AI-assisted development tools as part of the engineering workflow. * Strong analytical, problem-solving, communication, and collaboration skills. ## Description Hiring Remotely in United States Entry level In-Office or Remote Hiring Remotely in United States Entry level Designs, builds, and maintains scalable batch and streaming data pipelines and datasets in Databricks using Python, Spark, and SQL. Supports SQL Server, SSIS, SSRS, and data warehousing environments while improving performance, reliability, data quality, and scalability. Integrates enterprise data sources, enables reporting and AI/ML workloads, and partners with business and IT teams to deliver technical data solutions. The summary above was generated by AI VAS, a URUS Group company, is looking for a Data Engineer to help design, build, and improve the data solutions that support our global business. Working primarily in Databricks, you'll develop and maintain pipelines and datasets that power reporting, analytics, and AI/ML workloads. This role works across both modern and established data technologies, with a focus on improving performance, reliability, data quality, and scalability. We're looking for someone with strong data engineering fundamentals, hands-on Databricks experience, and a solid understanding of data warehousing and Microsoft-based data environments., * Design, build, and maintain scalable ETL/ELT pipelines and datasets in Databricks using Python, Spark, and SQL. * Develop and support batch and streaming data architectures for reporting, analytics, and AI/ML workloads. * Troubleshoot and optimize Databricks and existing data integration processes for performance, reliability, and data latency. * Support and enhance existing SQL Server, SSIS, and SSRS solutions while contributing to ongoing platform modernization. * Implement data quality checks, validation, cleansing, and data warehousing best practices across data pipelines and reporting environments. * Integrate Databricks with enterprise applications, databases, and other data sources. * Partner with business users, analysts, and IT teams to translate reporting and data needs into scalable technical solutions. * Contribute to continuous improvement through emerging data engineering practices, AI-assisted development tools, documentation, and ongoing learning ## Related Videos - [Empowering Retail Through Applied Machine Learning](https://www.wearedevelopers.com/videos/976-empowering-retail-through-applied-machine-learning) - [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) - [Kubernetes and Microservices with Multi-Model Databases](https://www.wearedevelopers.com/videos/382-kubernetes-and-microservices-with-multi-model-databases) - [Cutting LLM Costs Without Cutting Quality: How to Beat Proprietary LLMs with Fine-Tuned Open Source](https://www.wearedevelopers.com/videos/100151-cutting-llm-costs-without-cutting-quality-how-to-beat-proprietary-llms-with-fine-tuned-open-source) - [OLTP in the Lakehouse: Redefining Data for AI Workloads](https://www.wearedevelopers.com/videos/2038-oltp-in-the-lakehouse-redefining-data-for-ai-workloads) - [Enabling intelligent logistics automation: home-grown Industrial IoT platform at Austrian Post](https://www.wearedevelopers.com/videos/2018-enabling-intelligent-logistics-automation-home-grown-industrial-iot-platform-at-austrian-post) ## Related Articles - [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) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-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) - [What Are The Top Skills Required For Azure Developers?](https://www.wearedevelopers.com/magazine/77-what-are-the-top-skills-required-for-azure-developers) - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer)