Google Senior Data Engineer

Experteer 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 / Benefits * Build and optimize data pipelines using GCP services (BigQuery, Dataflow, Dataproc, Pub/Sub, Cloud Storage) * Assist data modeling, performance tuning, and query optimization in BigQuery * Develop ML/AI solutions and ML pipelines with Vertex AI and Gemini models; support embeddings and RAG experiments * Support dashboard development with Looker or Looker Studio * Participate in client workshops to gather data needs and translate requirements into tasks * Implement metadata management, data quality checks, and data lineage using Dataplex and IAM * Contribute to internal accelerators, documentation, and reusable components * Stay aligned with GCP releases and AI frameworks; promote best practices across the team Tasks * 5+ years in Data Engineering, Data Analytics, ML Engineering, or related fields * 4+ years hands-on experience with Google Cloud Platform * 5+ years experience with SQL, data modeling, and building data pipelines * 3+ 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 patterns * CI/CD, Git, or cloud-native engineering practices; cloud certifications * Experience in agile delivery environments Key requirements * medical, dental, vision, life, and long-term disability * 401(k) plan * bonus opportunities * paid holidays * paid time off

offers management, data quality checks, and data lineage using Dataplex and IAM * Contribute to internal accelerators, documentation, and reusable components * Stay aligned with GCP releases and AI frameworks; promote best practices across the team Tasks * 5+ years in Data Engineering, Data Analytics, ML Engineering, or related fields * 4+ years hands-on experience with Google Cloud Platform * 5+ years experience with SQL, data modeling, and building data pipelines * 3+ 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 patterns * CI/CD, Git, or cloud-native engineering practices; cloud certifications * Experience in agile delivery environments Key requirements * medical, dental, vision, life, and long-term disability * 401(k) plan * bonus opportunities * paid holidays * paid time off