Slalom Flex (Project Based)- Data Vault Data Engineer

Overview In this remote, MT-hours role, you will help build a greenfield data platform for clients as part of a fast-paced, outcomes-driven delivery team. You’ll design and productionize reliable data pipelines using Databricks and dbt Cloud, driving scalability and maintainability. You collaborate with stakeholders to shape data architecture and governance, balancing delivery risk with practical solutions. This is an opportunity to influence cloud data modernization in a client-facing environment and contribute to impactful data solutions. Compensation / Benefitsmeaningful time off and paid holidays401(k) with matchhealth, dental, and vision coverageadoption and fertility assistancelong-term disabilitywell-being reimbursement $350/year ResponsibilitiesAssess existing data workloads and identify issues impacting deliveryDesign, build, test, deploy, and support pipelines with Databricks and dbt CloudRemediate production-readiness challenges and optimize pipelinesMove priority workloads into production with focus on reliability and scalabilityContribute to data architecture, modeling, testing, and deployment decisionsCollaborate with solution leadership and engineers to establish sustainable practicesCommunicate risks, recommendations, and progress to technical and non-technical stakeholdersWork as part of an outcomes-focused delivery team Key requirementsProfessional experience delivering modern data engineering solutionsHands-on Databricks experienceHands-on dbt Cloud experienceData Vault experienceAdvanced SQL and production-grade pipelinesData transformation, modeling, and ETL/ELTExperience in consulting or client-facing environmentsStrong communication, collaboration, adaptability, and problem-solving skillsAbility to work remotely during Mountain Time business hourscommunicationcollaborationadaptabilityDatabricksdbt CloudSQL