Google Data Engineer

Overview As a Data Engineer in Slalom's Google COE, you will design, build, and modernize enterprise data platforms on Google Cloud, delivering scalable, governed data foundations for analytics and AI. You will collaborate in cross-functional teams to migrate and modernize data estates, implement real-time and batch pipelines, and enable analytics-driven insights. The role offers hands-on work with GCP services to drive impactful data platforms for clients. A strong hook is the focus on AI-ready data foundations and modern cloud-native architectures. Compensation / Benefitsmeaningful time off and paid holidaysparential leave401(k) with matchsubsidized health, dental, & vision coverageadoption and fertility assistanceshort/long-term disability ResponsibilitiesDesign, build, and modernize enterprise data platforms on Google Cloud Platform (GCP)Deliver solutions using BigQuery, Dataplex, Dataflow, Dataproc, Pub/Sub, Cloud Storage, Vertex AI, Looker, and other Google Cloud servicesMigrate and modernize data estates; implement real-time and batch pipelinesEnable governed analytics and AI-ready data foundationsParticipate in design sessions and manage development items in project backlogHybrid work arrangement requiring in-person collaboration as needed Key requirementsPassion for Google Cloud and modern data engineeringHands-on delivery experience and ongoing learning through certificationsAbility to solve complex data challenges and build scalable, cloud-native platformsExperience with data engineering tools and platforms listed belowcollaborationproblem-solvinglearning mindsetDataprocApache SparkBigQuery