Google Senior Data Engineer

Overview In this role you help deliver data modernization, analytics, and AI solutions on Google Cloud. You will work with cross-functional teams to design data pipelines, models, and dashboards, while supporting ML/AI initiatives and MLOps. You’ll engage with clients, translate requirements into technical tasks, and ensure data governance and security practices. This position offers hands-on delivery, collaboration with senior engineers, and ongoing learning in GCP data & AI patterns. Compensation / Benefitsmedical, dental, vision, life, and long-term disability401(k) planbonus opportunitiespaid holidayspaid time off ResponsibilitiesBuild and optimize data pipelines using GCP services (BigQuery, Dataflow, Dataproc, Pub/Sub, Cloud Storage)Assist data modeling, performance tuning, and query optimization in BigQueryDevelop ML/AI solutions and ML pipelines with Vertex AI and Gemini models; support embeddings and RAG experimentsSupport dashboard development with Looker or Looker StudioParticipate in client workshops to gather data needs and translate requirements into tasksImplement metadata management, data quality checks, and data lineage using Dataplex and IAMContribute to internal accelerators, documentation, and reusable componentsStay aligned with GCP releases and AI frameworks; promote best practices across the team Key requirements5+ years in Data Engineering, Data Analytics, ML Engineering, or related fields4+ years hands-on experience with Google Cloud Platform5+ years experience with SQL, data modeling, and building data pipelines3+ years experience with Python or AI/GenAI tools (Vertex AI preferred)Bachelor’s degree or equivalent work experience (minimum 12 years)Bonus points for experience with Looker, Vertex AI, Gemini models, embeddings, or RAG patternsCI/CD, Git, or cloud-native engineering practices; cloud certificationsExperience in agile delivery environmentsclient collaborationcommunication of blockers and insightsteam learning and knowledge sharingBigQueryDataflowDataproc