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  1. Programs
  2. Professional Data Engineer

Professional Data Engineer

Google Cloud

Certification

Become a contributor for free to openly demonstrate student outcomes, industry alignment & eligibility criteria.

A Professional Data Engineer empowers data-driven decisions by collecting, transforming, storing, and delivering data for diverse applications. A Professional Data Engineer designs and builds robust data infrastructure, optimizing for performance and security. This individual evaluates and selects solutions to meet business and regulatory needs, and administers data platforms effectively.

Cost

$200Show moreShow less

Format

Hybrid

Eligibility Calculator

Which aid programs apply to this program?

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Program Pathways

Credentials this program stacks toward

No program pathways.

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Program Details

Detailed information about this program

If this is your first time getting certified, or your certification has expired, you must take the standard exam. Standard exam information Length: 2 hours Exam Content: Standard exam guide Registration fee: $200 (plus tax where applicable) Languages: English, Japanese Exam format: 40 - 50 multiple choice and multiple select questions Exam Delivery Method: Online-proctored or onsite-proctored Validity period: 2 years Prerequisites: None Recommended experience: 3+ years of industry experience including 1+ years designing and managing data solutions using Google Cloud. If you are renewing your certification, you can choose to take the shorter renewal exam or the standard exam starting 60 days before your expiration date. Once you have chosen either the standard or renewal exam path, you will stay in that path until you pass or your certification expires. Renewal exam information Length: 1 hour Exam Content: Renewal exam guide Registration fee: $100 (plus tax where applicable) Languages: English, Japanese Exam format: 20 multiple choice and multiple select questions Exam Delivery Method: Online-proctored or onsite-proctored Validity period: 2 years Eligibility: Candidates must have an active certification and be within the renewal eligibility period.

Requirements

What you need to earn this credential

No requirements listed.

Financial Aid

Eligible funding programs

No funding information available.

Scholarships

No scholarships listed.

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Locations

Where this program is offered

No locations specified.

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Related Programs

Programs related to this one

No related programs.

Skills & Competencies

Skills developed through this program

  • Collect, transform, store, and deliver data for diverse applications in Google Cloud environments
  • Design and build robust data infrastructure optimized for performance and security
  • Evaluate and select data solutions to meet business and regulatory requirements
  • Administer data platforms in cloud environments
  • Leverage technologies for data processing, cleaning, enrichment, and query generation and translation
  • Design, build, deploy, monitor, maintain, optimize, and secure data processing workloads
Career Pathways

Occupations this program prepares you for

  • Computer Systems Engineers/Architects15-1299.08
What You'll Learn

Key competencies developed through this program

Auto-populated·from NSX Competency Framework

Mastery: developing (Level 2)(based on Certification)

  • Client system requirements — analyze and translate into preliminary technical specifications with reduced oversight in a professional services environment.
  • Hardware and software component recommendations — evaluate suitability for defined purposes and present options to project stakeholders using structured comparison frameworks.
  • Secure system implementation guidelines — prepare and communicate tailored security configuration instructions to installation teams for mid-scale deployments.
  • Operating systems and network software — coordinate and execute installation or upgrade projects across multiple workstations or servers with minimal supervision.
  • System operation monitoring — apply monitoring tools to detect performance degradation or failure indicators and initiate standard corrective responses.
  • User need assessments — identify required system data, hardware, and software components by conducting structured needs-analysis sessions with end users.
  • Object-oriented or web platform development software — configure and adapt development environments to support application deployment on assigned systems.
  • Technical documentation — produce clear written procedures and configuration guides using document management software for internal or client audiences.
  • Routine hardware and software maintenance — plan and execute scheduled maintenance cycles including upgrades to minimize operational downtime.
  • Systems evaluation — apply analytical methods to assess existing infrastructure performance against defined benchmarks in familiar organizational contexts.

Some details on this page are auto-populated from public workforce data sources: O*NET (opens in new tab), BLS (opens in new tab), College Scorecard (opens in new tab), DOL Training Provider Results (opens in new tab), NSX (opens in new tab). Provided in partnership with LER.me Career Intelligence.

Student Outcomes

Performance metrics for this program

Auto-populated·from Scorecard + DOL
Completion Rate
31%
Placement Rate
85%