Accenture · 11 hours ago
Google Data Specialist
Seattle, 1191 2nd Avenue, Corp
Full-time
Hybrid
Entry, Mid Level
$70K/yr - $196K/yr
2+ years expAccenture is a premier Google Cloud partner helping organizations modernize data ecosystems, build real-time analytics capabilities, and responsibly scale AI. As a GCP Data Specialist, you will help deliver data modernization, analytics, and AI solutions on GCP, supporting architecture design and contributing to technical implementations under guidance from senior team members.
Business Information SystemsConstructionConsultingInformation ServicesInformation TechnologyInfrastructureManagement ConsultingOutsourcing
No H1B
Responsibilities
Build data pipelines, ETL/ELT processes, and integrations using GCP services such as: BigQuery, Dataflow, Dataproc, Pub/Sub, Cloud Storage
Assist with data modeling, performance tuning, and query optimization in BigQuery
Implement data ingestion patterns for batch and streaming data sources
Support development of dashboards and analytics products using Looker or Looker Studio
Assist in developing ML models and AI solutions using: Vertex AI, Gemini Foundation Models, Gemini Enterprise, Model APIs & Embeddings
Implement ML pipelines and help establish MLOps processes (monitoring, retraining, deployment)
Support prompt engineering, embeddings, and retrieval-augmented generation (RAG) experimentation
Contribute to model testing, validation, and documentation
Participate in client workshops to understand data needs, use cases, and technical requirements
Help translate functional requirements into technical tasks and implementation plans
Communicate progress, blockers, and insights to project leads and client stakeholders
Implement metadata management, data quality checks, and lineage tracking using GCP tools (Dataplex, IAM)
Follow best practices for security, identity management, and compliance
Support operational processes for data validation, testing, and monitoring
Learn and apply GCP Data & AI best practices across architectural patterns, engineering standards, and AI frameworks
Collaborate closely with senior data engineers, ML engineers, and architects
Contribute to internal accelerators, documentation, and reusable components
Stay current with GCP releases, Gemini model updates, and modern engineering practices
Qualification
Required
Minimum of 2 years of hands-on experience in Data Engineering, Data Analytics, ML Engineering, or related fields
Minimum of 2 years of practical experience with Google Cloud Platform
Minimum of 2 years of experience with SQL, data modeling, and building data pipelines
Minimum of 2 years of experience with Python or AI or GenAI tools (Vertex AI preferred)
Bachelor's degree or equivalent (minimum 12 years' work experience). If Associate's Degree, must have equivalent minimum 6-year work experience
Preferred
Familiarity with GCP services such as BigQuery, Dataflow, Pub/Sub, Dataproc, Cloud Storage, and Looker
Exposure to AI/ML development or experimentation with Vertex AI, Gemini models, embeddings, or RAG patterns
Hands-on experience with CI/CD, Git, or cloud-native engineering practices
Google Cloud certifications (Associate Cloud Engineer or Professional Data Engineer)
Experience working in agile delivery environments
Benefits
Medical
Dental
Vision
Life
Long-term disability coverage
A 401(k) plan
Bonus opportunities
Paid holidays
Paid time off
Company
Accenture
Accenture is a professional services company that provides solutions in strategy, consulting, digital, technology and operations.
10001+ employees
Funding
Current Stage
Public CompanyTotal Funding
$6MKey Investors
Youth Business International
2018-10-01Grant· $6M
2001-07-27IPO
Leadership Team
Jeff Laue
CEO and Senior Managing Director of Accenture Digital Inside Sales
Aditya Tandon
Intelligent Automation Canada Lead
Recent News
2026-01-22
2026-01-22
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