Databricks Engineer

As a databricks engineer, you will help design, build, and support data management solutions that enable reliable, scalable, and secure use of data across business and technology functions. In this role, you will collaborate with cross-functional stakeholders to develop data pipelines, improve data quality, and support data governance and integration efforts. The ideal candidate brings hands-on experience in data engineering and the ability to manage multiple priorities in a dynamic environment.Work you'll doAs a databricks engineer on the data management solutions team, you will be responsible for...Design, build, test, and maintain data pipelines and data integration solutionsSupport data modeling, transformation, and storage processes across structured and unstructured data sourcesMonitor data workflows, troubleshoot issues, and implement fixes to improve reliability and performanceCollaborate with business, analytics, and technology teams to define data requirements and support delivery prioritiesApply data quality, metadata, and governance standards across data assets and processesA successful candidate would possess these skills:Ability to work independently and collaborate as part of a teamEffective written and verbal communication skillsMeticulous attention to detail and quality of work productAbility to build and sustain professional relationshipsAbility to manage and prioritize multiple tasks in a fast-paced and dynamic environmentStrong interpersonal skills and professional demeanorAbility to meet deadlinesAbility to provide clear guidance to othersThe teamOur team supports the design, development, and delivery of data management solutions that help organizations improve the quality, accessibility, and usability of their data. We work across functions to enable trusted data for reporting, analytics, operations, and strategic decision-making. Team members collaborate closely with stakeholders to solve complex data challenges in a fast-paced, client-service environment.QualificationsRequired:Bachelor's degree required2+ years of experience in data engineering, data integration, or data management, including 3+ years of experience with Structured Query Language (SQL)2+ years of experience building or supporting extract, transform, and load (ETL) or extract, load, and transform (ELT) pipelines2+ years of experience with Python and PySpark1+ years of experience with Databricks and cloud-based data platforms, including data pipeline development and data transformationAbility to travel 10-15%, on average, based on the work you do and the clients and industries/sectors you serveMust be legally authorized to work in the United States without the need for employer sponsorship, now or at any time in the futurePreferred:Experience with data warehousing concepts and dimensional data modelingExperience with data quality, metadata, or data governance processesExperience working with application programming interfaces (APIs) and system integrationsExperience supporting Agile delivery teamsExperience in a professional services environmentYou may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.