Google Senior Data Engineer

Accenture; United States; On-site; USD 120,000 - 210,000; Full time

Benefits offered by this job

Medical coverage

401(k) plan

Bonus opportunities

Paid holidays

Paid time off

Job summary

Accenture is seeking a GCP Senior Data Engineer to deliver data modernization and AI solutions on Google Cloud Platform. You will design data pipelines, model building, and support analytics initiatives alongside senior architects and client teams.

You will work with BigQuery, Dataflow, Dataproc, Looker, Vertex AI, and related MLOps practices, contributing to secure, governed data architectures and reusable accelerators across engagements.

Qualifications

• Minimum 5 years hands-on experience in Data Engineering, Analytics, or ML fields.
• Minimum 4 years practical experience with Google Cloud Platform.
• Minimum 5 years experience with SQL, data modeling and data pipelines.
• Minimum 3 years Python or AI/GenAI tools (Vertex AI preferred).
• Bachelor's degree or equivalent work experience (12 years).

Responsibilities

• Deliver data modernization, analytics, and AI solutions on GCP.
• Build data pipelines and models; support architecture design.
• Contribute to dashboards using Looker/Looker Studio and data quality.
• Collaborate with clients and senior architects; ensure security and governance.
• Support MLOps, model testing, and documentation.

Skills

Data Engineering

GCP

SQL

Python

Analytics

Education

Bachelor's degree or equivalent

Tools

BigQuery

Dataflow

Dataproc

Looker

Vertex AI

Job description

We Are

Accenture is a premier Google Cloud partner helping organizations modernize data ecosystems, build real-time analytics capabilities, and responsibly scale AI. As part of Accenture Cloud First and the Accenture Google Business Group (AGBG), we deliver solutions leveraging Google Cloud’s Data & AI platform—including BigQuery, Looker, Vertex AI, Gemini Foundation Models, and Gemini Enterprise.

We Are

Accenture is a premier Google Cloud partner helping organizations modernize data ecosystems, build real-time analytics capabilities, and responsibly scale AI. As part of Accenture Cloud First and the Accenture Google Business Group (AGBG), we deliver solutions leveraging Google Cloud’s Data & AI platform—including BigQuery, Looker, Vertex AI, Gemini Foundation Models, and Gemini Enterprise.

You Are

A hands-on Engineer with foundational experience in Data Engineering, Analytics, or Machine Learning—now building deep expertise in Google Cloud Platform (GCP). You are eager to apply technical skills, learn advanced Data & AI patterns, and support delivery teams in designing and implementing modern data and AI solutions. You’re comfortable working directly with clients, supporting senior architects, and contributing to end-to-end project execution.

The Work (What You Will Do)

As a GCP Senior Data Engineer, you will help deliver data modernization, analytics, and AI solutions on GCP. You will support architecture design, build data pipelines and models, perform analysis, and contribute to technical implementations under guidance from senior team members.

• Hands-On Technical Delivery
• 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.
• Support Agentic AI & ML Solution Development
• 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.
• Requirements Gathering & Client Collaboration
• 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.
• Data Governance, Quality & Security Support
• 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.
• Continuous Learning & Team Support
• 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.

Travel may be required for this role. The amount of travel will vary from 0 to 100% depending on business need and client requirements.

Here’s What You Need

• Minimum of 5 years of hands‑on experience in Data Engineering, Data Analytics, ML Engineering, or related fields.
• Minimum of 4 years of practical experience with Google Cloud Platform.
• Minimum of 5 years of experience with SQL, data modeling, and building data pipelines.
• Minimum of 3 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 minimum 6 years work experience)

Bonus point if you have

• Experience 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.

Compensation at Accenture varies depending on a wide array of factors, which may include but are not limited to the specific office location, role, skill set, and level of experience. As required by local law, Accenture provides a reasonable range of compensation for roles that may be hired as set forth below. We anticipate this job posting will be posted until 09/30/2026.

Benefits

Accenture offers a market competitive suite of benefits including medical, dental, vision, life, and long-term disability coverage, a 401(k) plan, bonus opportunities, paid holidays, and paid time off.

See more information on our benefits here:

U.S. Employee Benefits | Accenture

• California $94,400 to $266,300
• Cleveland $87,400 to $213,000
• Colorado $94,400 to $230,000
• District of Columbia $100,500 to $245,000
• Illinois $87,400 to $230,000
• Maine $80,400 to $196,000
• Maryland $94,400 to $230,000
• Massachusetts $94,400 to $245,000
• Minnesota $94,400 to $230,000
• New York $87,400 to $266,300
• New Jersey $100,500 to $266,300
• Virginia $87,400 to $245,000
• Washington $100,500 to $245,000

• Albany, NY
• Arlington, VA
• Atlanta, GA
• Austin, TX
• Beaverton, OR
• Bentonville, AR
• Boston, MA
• Carmel, IN
• Charlotte, NC
• Chicago, IL
• Cincinnati, OH
• Cleveland, OH
• Columbus, OH
• Culver City, CA
• Denver, CO
• Des Moines, IA
• Detroit, MI
• Hartford, CT
• Houston, TX
• Irving, TX
• Kirkland, WA
• Miami, FL
• Milwaukee, WI
• Minneapolis, MN
• Morristown, NJ
• Mountain View, CA
• Nashville, TN
• New York City, NY
• Oklahoma City, OK
• Overland Park, KS
• Philadelphia, PA
• Pittsburgh, PA
• Raleigh, NC
• Redmond, WA
• Sacramento, CA
• San Diego, CA
• San Francisco, CA
• Scottsdale, AZ
• Seattle, WA
• St. Louis, MO
• St. Petersburg, FL
• Walnut Creek, CA

Requesting an Accommodation

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If you would like to be considered for employment opportunities with Accenture and have accommodation needs such as for a disability or religious observance, please call us toll free at 1 [phone] or send us an email or speak with your recruiter.

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