Google Senior Data Engineer
Accenture
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Benefits offered by this job
Job summary
Accenture is a premier Google Cloud partner helping organizations modernize data ecosystems and build real-time analytics and AI capabilities.
As a GCP Senior Data Engineer, you will design and implement data pipelines, ML workflows, and analytics solutions on Google Cloud, collaborating with senior architects and delivery teams.
Qualifications
- 5+ years in Data Engineering, Analytics, ML Engineering, or related field.
- 4+ years hands-on GCP experience.
- 5+ years of SQL and data pipeline development.
- 3+ years Python or AI/GenAI tools (Vertex AI preferred).
- Bachelor’s degree or equivalent work experience (12 years total).
Responsibilities
- Deliver data modernization, analytics and AI solutions on GCP.
- Support architecture design and build data pipelines and models.
- Collaborate with clients and senior architects to translate requirements into tasks.
- Contribute to data governance, quality checks and security practices.
- Learn and apply GCP Data & AI best practices with the team.
Skills
Education
Tools
Job description
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.
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.
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.
- 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.
Travel may be required for this role. The amount of travel will vary from 0 to 100% depending on business need and client requirements.
- 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)
- 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.
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
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
Accenture is a leading global professional services company that helps the world’s leading businesses, governments and other organizations build their digital core, optimize their operations, accelerate revenue growth and enhance citizen services—creating tangible value at speed and scale. We are a talent- and innovation-led company with approximately 791,000 people serving clients in more than 120 countries. Technology is at the core of change today, and we are one of the world’s leaders in helping drive that change, with strong ecosystem relationships. We combine our strength in technology and leadership in cloud, data and AI with unmatched industry experience, functional expertise and global delivery capability. Our broad range of services, solutions and assets across Strategy & Consulting, Technology, Operations, Industry X and Song, together with our culture of shared success and commitment to creating 360° value, enable us to help our clients reinvent and build trusted, lasting relationships. We measure our success by the 360° value we create for our clients, each other, our shareholders, partners and communities.
Visit us at www.accenture.com
We have an unwavering commitment to diversity with the aim that every one of our people has a full sense of belonging within our organization. As a business imperative, every person at Accenture has the responsibility to create and sustain an inclusive environment.
Inclusion and diversity are fundamental to our culture and core values. Our rich diversity makes us more innovative and more creative, which helps us better serve our clients and our communities. Read more here
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.
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For details, view a copy of the Accenture Equal Opportunity Statement
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Candidates
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