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# Google Senior Data Engineer

- **Company:** Accenture
- **Location:** Houston, TX, United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Data Analysis, BigQuery, Cloud Engineering, Cloud Storage, Continuous Integration, Data Validation, Information Engineering, Data Governance, Data Transformation, Data Flow Control, Identity and Access Management, Python (Programming Language), Machine Learning, Meta-Data Management, Performance Tuning, Query Optimization, Cloudera, SQL Databases, Google Cloud, Google Data Studio, Generative AI, Git, Data Lineage, Data Analytics, Machine Learning Operations, Looker Analytics, Data Pipelines
- **Published:** August 12, 2026
- **Apply:** https://us.experteer.com/career/view-jobs/google-senior-data-engineer-houston-tx-usa-58915380

## About the Role

senior 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

## Description

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


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