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Associate Data Engineer Jobs in Sunnyvale, CA (NOW HIRING)

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 ...

Lead Data Engineer

Alameda, CA · Remote

$155K - $175K/yr

Experience & SkillsYou'llBring * 10+ years of data engineering experience maintaining data platform ... CA Pay Range is $155,000 - $175,000 annually #LI-LO1 #LI-Remote Full time and Part time associates ...

Azure Data Engineer Associate (DP-203) * Azure Fundamentals (AZ-900) Good to Have * Experience with real-time analytics. * Knowledge of Lakehouse architecture. * Experience with Agile/Scrum ...

Data Strategy-Manager

San Francisco, CA · On-site

$99K - $232K/yr

... Associate - SAP Master Data Governance (MDG) - SnowPro Core / SnowPro Advanced - Databricks Certified Data Engineer / Data Analyst / ML - Proven leadership in data-driven strategies - Experience in ...

... Associate - SAP Master Data Governance (MDG) - SnowPro Core / SnowPro Advanced - Databricks Certified Data Engineer / Data Analyst / ML Travel Requirements Up to 80% Job Posting End Date The salary ...

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Associate Data Engineer information

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How much do associate data engineer jobs pay per hour?

As of Sep 4, 2026, the average hourly pay for associate data engineer in Sunnyvale, CA is $21.99, according to ZipRecruiter salary data. Most workers in this role earn between $18.08 and $23.41 per hour, depending on experience, location, and employer.

What does an associate data engineer do?

An Associate Data Engineer is responsible for supporting the development, maintenance, and optimization of data pipelines and databases. They work closely with senior data engineers and other IT professionals to ensure data is accessible, reliable, and efficiently processed for analytics and business use. Typical tasks include writing and testing code for data integration, troubleshooting data issues, and implementing data security best practices. This entry-level position is a foundational role that builds technical skills and experience in data engineering.

What are the key skills and qualifications needed to thrive as an associate data engineer?

To thrive as an Associate Data Engineer, you need a solid understanding of data modeling, SQL, Python, and foundational knowledge of database concepts, often backed by a degree in computer science or a related field. Familiarity with data warehousing tools (like AWS Redshift, Google BigQuery), ETL frameworks, and cloud platforms as well as industry certifications such as AWS Certified Data Analytics is beneficial. Strong problem-solving skills, attention to detail, and effective communication help you navigate complex data challenges and collaborate with teams. These abilities are crucial for ensuring data systems are reliable, scalable, and aligned with organizational goals.

What are some common challenges an associate data engineer may face when working with large-scale data pipelines?

As an Associate Data Engineer, you may often encounter challenges such as optimizing data pipeline performance, ensuring data quality, and troubleshooting bottlenecks when processing large volumes of data. Working with distributed systems can introduce complex issues like latency and data consistency. Collaborating effectively with data scientists, analysts, and senior engineers is crucial for aligning data infrastructure with evolving project requirements. Regularly learning new tools and best practices will help you adapt to these challenges and grow in your role.

What is the difference between Associate Data Engineer vs Data Engineer?

AspectAssociate Data EngineerData Engineer
Required CredentialsBachelor's degree in CS, Data Science, or related field; basic knowledge of SQL and PythonBachelor's or Master's degree; advanced knowledge of SQL, Python, Spark, and cloud platforms
Work EnvironmentEntry-level, team-focused, often in tech or finance industriesMid to senior level, designing and maintaining data pipelines in various industries
Employer & Industry UsageCommon in tech companies, startups, and finance firmsUsed across industries for building scalable data infrastructure
Common Search & ComparisonOften compared for career progression and skill requirements

The Associate Data Engineer role is an entry-level position focusing on supporting data infrastructure, while the Data Engineer is a more advanced role responsible for designing and maintaining complex data systems. The roles share similar educational backgrounds and work environments but differ in experience level and responsibilities.

Is an associate data engineer entry level?

An associate data engineer is typically an entry-level position suitable for candidates with limited professional experience in data engineering. It often requires foundational skills in SQL, Python, or cloud platforms and serves as a starting point for a career in data engineering.

What are the most commonly searched types of Data Engineer jobs in Sunnyvale, CA?

The most popular types of Data Engineer jobs in Sunnyvale, CA are:

What are popular job titles related to Associate Data Engineer jobs in Sunnyvale, CA?

For Associate Data Engineer jobs in Sunnyvale, CA, the most frequently searched job titles are:

What job categories do people searching Associate Data Engineer jobs in Sunnyvale, CA look for?

The top searched job categories for Associate Data Engineer jobs in Sunnyvale, CA are:

What cities near Sunnyvale, CA are hiring for Associate Data Engineer jobs?

Cities near Sunnyvale, CA with the most Associate Data Engineer job openings:

Google Senior Data Engineer

Accenture

Mountain View, CA • On-site

$94 - $266/hr

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted 22 days ago


Accenture Federal Services rating

8.7

Company rating: 8.7 out of 10

Based on 20 frontline employees who took The Breakroom Quiz

51st of 500 rated business services


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.

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.

Accenture is committed to providing veteran employment opportunities to our service men and women.

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.

California requires additional notifications for applicants and employees. If you are a California resident, live in or plan to work from Los Angeles County upon being hired for this position, please click here for additional important information.

Please read Accenture’s Recruiting and Hiring Statement for more information on how we process your data during the Recruiting and Hiring process.

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