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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.

1. 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.

2. 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.

3. 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.

4. 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.

5. 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
• long-term disability coverage
• a 401(k) plan
• bonus opportunities
• paid holidays
• paid time off

See more information on our benefits here:

Role Location Annual Salary Range

• 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

Requesting an Accommodation

Accenture is committed to providing equal employment opportunities for persons with disabilities or religious observances, including reasonable accommodation when needed. If you are hired by Accenture and require accommodation to perform the essential functions of your role, you will be asked to participate in our reasonable accommodation process. Accommodations made to facilitate the recruiting process are not a guarantee of future or continued accommodations once hired.

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 (877) 889-9009 or send us an email or speak with your recruiter.

Equal Employment Opportunity Statement

We believe that no one should be discriminated against because of their differences. All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by federal, state, or local law. Our rich diversity makes us more innovative, more competitive, and more creative, which helps us better serve our clients and our communities.

For details, view a copy of the Accenture Equal Opportunity and Aff id iviative Action Statement

Accenture is an EEO and Aff ite ce Action Employer of Females/Minorities/Veterans/Individuals with Disabilities.

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Other Employment Statements

Applicants for employment in the US must have work authorization that does not now or in the future require sponsorship of a visa for employment authorization in the United States.

Candidates who are currently employed by a client of Accenture or an affiliated Accenture business may not be eligible for consideration.

Job candidates will not be obligated to disclose sealed or expunged records of conviction or arrest as part of the hiring process. Further, at Accenture a criminal conviction history is not an absolute bar to employment.

The Company will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. Additionally, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the Company's legal duty to furnish information.

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