Senior Database Engineer

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