Google Data Specialist

Overview In this role you help deliver data modernization, analytics, and AI solutions on Google Cloud Platform. You will work with clients and senior engineers to design and implement end-to-end data and AI solutions, from pipelines and models to governance and validation. You will collaborate across the delivery team, stay current with GCP tech, and contribute to accelerators and reusable components. This is an opportunity to shape client outcomes in data, analytics, and AI at scale. Compensation / Benefitsmedical, dental, vision, life, and long-term disability coverage401(k) planbonus opportunitiespaid holidayspaid time off ResponsibilitiesBuild data pipelines and ETL/ELT processes on GCP (BigQuery, Dataflow, Dataproc, Pub/Sub, Cloud Storage)Assist with data modeling, performance tuning, and BigQuery optimizationImplement data ingestion for batch and streaming sourcesSupport analytics product development with Looker/Looker StudioAssist in developing ML/AI solutions with Vertex AI and Gemini modelsEstablish ML pipelines and MLOps processes (monitoring, retraining, deployment)Contribute to prompt engineering, embeddings, and retrieval-augmented generation (RAG) explorationParticipate in client workshops to translate requirements into technical tasksFollow data governance practices: metadata, data quality checks, data lineage (Dataplex, IAM)Support security/compliance and operational data validation and monitoringLearn and apply GCP Data & AI best practices; collaborate with senior engineers and architectsContribute to internal accelerators, documentation, and reusable componentsStay current with GCP releases and Gemini model updatesTravel may be required (0-100%) Key requirements2+ years of hands-on experience in Data Engineering, Data Analytics, ML Engineering, or related fields2+ years of practical experience with Google Cloud Platform2+ years of experience with SQL, data modeling, and building data pipelines2+ years of experience with Python or AI/GenAI tools (Vertex AI preferred)Bachelor's degree or equivalent (minimum 12 years' work experience)Familiarity with GCP services such as BigQuery, Dataflow, Pub/Sub, Dataproc, Cloud Storage, Looker is a bonusExposure to AI/ML development or experimentation with Vertex AI, Gemini models, embeddings, or RAG patterns is a bonusCI/CD, Git, or cloud-native engineering practices are a bonusGoogle Cloud certifications (Associate Cloud Engineer or Professional Data Engineer) are a bonusExperience in agile delivery environments is a bonusClient collaborationEffective communicationTeam-oriented mindsetBigQueryDataflowDataproc