Job description

Position: Data Infrastructure Engineer (Tulsa, OK) Are you ready to take on a challenging role in building cutting-edge data infrastructure? We’re seeking a highly skilled Data Infrastructure Engineer who can help us revolutionize how we manage and scale our data across the cloud. If you’re a technical expert with experience in Azure and enjoy solving complex data challenges, this could be your next big career move. What You’ll Do: • Design, implement, and optimize robust cloud-based data solutions on Azure, leveraging Databricks and other Azure tools. • Focus on the architecture and deployment of end-to-end data pipelines that enable seamless data integration and analytics. • Work closely with cross-functional teams to ensure data flows efficiently from source to insight while maintaining the highest standards of quality and performance. • Proactively monitor and enhance data solutions to ensure their scalability, security, and reliability in a cloud environment. • Lead initiatives for continuous improvement, finding creative ways to streamline processes and solve problems related to data performance and storage. Key Skills & Tools You’ll Use: • Deep expertise in Databricks and Databricks SQL for building powerful data pipelines. • Proficiency with Python, PySpark, and T-SQL for processing and transforming large datasets. • Strong understanding of Azure tools like Azure Synapse, Azure Data Factory, and Azure Dev Ops for continuous integration and delivery. • Experience with data monitoring, tuning, and troubleshooting to ensure top-tier system performance. What We’re Looking For: • A proven track record of 3+ years working with cloud data engineering, ideally with Azure technologies. • Familiarity with cloud-native data architecture, including data lakes and data warehouses. • Strong problem-solving skills, especially when working with large, complex datasets. • Excellent communication skills to interact with both technical teams and non-technical stakeholders. • A passion for exploring the latest in data innovation and a drive for continuous learning. If you want to shape the future of data infrastructure and work with some of the most innovative technologies in the cloud, we’d love to meet you! #J-18808-Ljbffr

Requirements