Find & Apply For Data Engineer Jobs in Midvale, Utah

We are seeking a Senior Database Engineer for a 6+ month contract position in Midvale, Utah. In this role, you will partner with solution architects, business analysts, data scientists, and client stakeholders to design, develop, and support enterprise-scale data solutions that power mission-critical business initiatives for commercial and public sector clients. You will leverage modern cloud technologies, big data frameworks, and analytics platforms to build high-performance data pipelines and scalable solutions in a collaborative Agile environment. Responsibilities Design, develop, test, deploy, and maintain enterprise data engineering solutions using modern cloud and big data technologies. Design and implement scalable ETL/ELT pipelines utilizing Databricks, Apache Spark (PySpark), Delta Lake, and Azure Data Factory. Build high-performance data ingestion, transformation, and integration frameworks supporting enterprise analytics and reporting. Develop, optimize, and maintain complex SQL queries, stored procedures, and data transformation processes. Design and implement scalable data models supporting business intelligence, analytics, and AI initiatives. Build and integrate RESTful APIs, event-driven architectures, and legacy SOAP services to facilitate seamless enterprise data exchange. Develop and maintain streaming and messaging solutions using Apache Kafka. Monitor, troubleshoot, and optimize production data pipelines while performing root cause analysis and implementing long-term solutions. Implement data quality, governance, security, and performance best practices across enterprise platforms. Manage source code using Git while following CI/CD and enterprise DevOps best practices. Collaborate with Solution Architects, Product Owners, Business Analysts, and cross-functional engineering teams to translate business requirements into technical solutions. Participate in Agile ceremonies including sprint planning, backlog refinement, architecture discussions, code reviews, and retrospectives. Create technical documentation, deployment artifacts, testing documentation, and operational runbooks. Mentor junior engineers and contribute to engineering standards, best practices, and continuous improvement initiatives. Qualifications Required Bachelor's degree in Computer Science, Information Systems, Engineering, or a related technical discipline (or equivalent professional experience) 6+ years of experience designing, developing, and supporting enterprise data platforms, cloud analytics solutions, or large-scale data engineering initiatives Strong hands-on experience with Databricks Strong hands-on experience with Apache Spark (PySpark) Strong hands-on experience with Python Strong hands-on experience with SQL Strong hands-on experience with Scala Experience working with the Databricks ecosystem, including Databricks Workspaces, Delta Lake, Unity Catalog, Delta Live Tables (DLT), Databricks SQL, MLflow, and Databricks Jobs Strong SQL development experience, including query optimization and performance tuning Experience designing and implementing ETL/ELT solutions using Azure Data Factory or comparable cloud integration platforms Experience with Apache Kafka or other event streaming technologies Experience integrating enterprise applications using REST APIs, JSON, XML, and SOAP web services Experience with Azure Data Lake Storage (ADLS Gen2) or comparable cloud storage platforms Experience using Git for source code management and collaborative software development Experience working within Linux environments, including shell scripting and command-line utilities Strong analytical, troubleshooting, and problem-solving skills Experience working in Agile environments utilizing Scrum, Kanban, or SAFe methodologies Demonstrated ability to manage multiple priorities while delivering high-quality solutions Proven ability to work independently while mentoring teammates and contributing to technical leadership Preferred Familiarity with Infrastructure as Code (IaC) tools