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Part Time Google Bigquery Jobs (NOW HIRING)

... Google Cloud Platform (GCP) (7) BigQuery, (8) Airflow, (9) MS SQL Server, (10) ETL Workflows, (11 ... Part-time telecommuting is an option. Hybrid work from Checkr office in San Francisco, CA. Salary ...

Part Time Google Bigquery information

How difficult is it to get hired at Google?

Getting hired for a part-time Google BigQuery role typically requires strong SQL skills, experience with data analysis, and familiarity with cloud platforms. The hiring process is competitive and often involves multiple interview rounds assessing technical knowledge and problem-solving abilities.

What is the difference between Part Time Google Bigquery vs Part Time Data Analyst?

AspectPart Time Google BigqueryPart Time Data Analyst
Required SkillsSQL, data warehousing, cloud platformsData interpretation, SQL, Excel, visualization tools
Work EnvironmentCloud-based, technical, project-focusedOffice or remote, analytical, reporting-oriented
Industry UsageTech, data-driven companies, cloud servicesBusiness, marketing, finance sectors

Part Time Google Bigquery roles focus on managing and analyzing large datasets using cloud-based tools, requiring technical skills like SQL and data warehousing. In contrast, Part Time Data Analyst positions involve interpreting data, creating reports, and visualizations, often in office or remote settings. Both roles are common in data-driven industries but serve different functions within organizations.

Does Google hire part-time employees?

Google generally hires full-time employees for most roles, including those related to Google BigQuery. However, the company occasionally offers part-time or contract positions in certain departments or projects, often requiring specific skills and flexible schedules. Availability of part-time roles varies by location and business needs.

Is Google BigQuery hard?

Working as a part-time Google BigQuery professional involves understanding SQL, data warehousing concepts, and cloud-based data analysis tools. While it requires technical skills, many find it manageable with training and practice, especially if they have a background in data or programming. The complexity depends on the specific tasks and level of expertise required for the role.

Is Google BigQuery paid?

Google BigQuery is a paid cloud data warehouse service that charges based on data storage, query processing, and data streaming. As a data analyst or engineer working with BigQuery, understanding its pricing model is important for managing costs effectively.
More about Part Time Google Bigquery jobs
What are the most commonly searched types of Google Bigquery jobs? The most popular types of Google Bigquery jobs are:
Infographic showing various Part Time Google Bigquery job openings in the United States as of June 2026, with employment types broken down into 100% Part Time. Highlights an 100% In-person job distribution.

Data Engineer (Part time) - BigQuery / GA4

LHH US

Portland, OR • Remote

$50 - $70/hr

Part-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 8 days ago


Job description

Location: Portland, OR (Remote)
Duration: ~3 weeks (Approx. 45-55 hours total)
Pay Rate: $50-$70/hour on W2
About the Role
We're seeking a Data Engineer with strong marketing analytics experience to support a short-term engagement focused on building and validating a BigQuery-based data foundation.
This role will work across multiple client accounts to ensure analytics data is properly structured, integrated, and ready for reporting, with a focus on GA4, paid media, and CRM data sources.
Key Responsibilities
  • Set up and configure BigQuery / GCP environments , including datasets, permissions, and naming conventions
  • Enable and validate GA4 → BigQuery data exports
  • Ensure key events and conversions are accurately captured and flowing
  • Connect and validate priority data sources (GA4, paid media platforms, CRM, email tools)
  • Create reporting-ready tables or views for analytics and performance tracking
  • Perform data QA and validation across sources (GA4, ad platforms, CRM)
  • Identify data gaps, inconsistencies, and potential risks
  • Ensure existing dashboards and reports remain functional
  • Document data architecture, sources, and workflows
  • Provide clear handoff documentation and recommendations for future improvements
Required Qualifications
  • Hands-on experience with Google BigQuery and Google Cloud Platform (GCP)
  • Strong understanding of GA4 (Google Analytics 4) and data exports
  • Experience working with Google Tag Manager (GTM)
  • Proficiency in SQL for data transformation and reporting
  • Experience integrating marketing data sources (paid media, CRM, email platforms)
  • Strong data validation and QA skills
  • Ability to work independently in a fast-paced, short-term engagement
Preferred Qualifications
  • Experience in marketing analytics or agency environments
  • Familiarity with tools like Salesforce, Google Ads, Mailchimp , or similar platforms
  • Experience creating lightweight reporting layers or data models
  • Strong documentation and stakeholder communication skills
What Success Looks Like
  • BigQuery environments are fully set up and structured
  • GA4 data is correctly flowing into BigQuery
  • Key data sources are connected and validated
  • Reporting tables/views are available and usable
  • Data accuracy is confirmed across platforms
  • Documentation and handoff materials are complete
Benefit Offering
Benefit Offerings:
Benefit offerings include medical, dental, vision, life insurance, short-term disability, additional voluntary benefits, EAP program, and 401K plan. Our program provides employees the flexibility to choose the type of coverage that meets their individual needs. Available paid leave may include Paid Sick Leave, where required by law; any other paid leave required by Federal, State, or local law; and Holiday pay upon meeting eligibility criteria.
Equal Opportunity Employer/Veterans/Disabled
To read our Candidate Privacy Information Statement, which explains how we will use your information, please navigate to https://www.lhh.com/us/en/candidate-privacy
The Company will consider qualified applicants with arrest and conviction records in accordance with federal, state, and local laws and/or security clearance requirements.
Pay Details: $50.00 to $70.00 per hour
Search managed by: Sharanya Ram
Benefit offerings available for our associates include medical, dental, vision, life insurance, short-term disability, additional voluntary benefits, EAP program, commuter benefits and a 401K plan. Our benefit offerings provide employees the flexibility to choose the type of coverage that meets their individual needs. In addition, our associates may be eligible for paid leave including Paid Sick Leave or any other paid leave required by Federal, State, or local law, as well as Holiday pay where applicable.
Equal Opportunity Employer/Veterans/Disabled
Military connected talent encouraged to apply
To read our Candidate Privacy Information Statement, which explains how we will use your information, please navigate to https://www.lhh.com/us/en/candidate-privacy
The Company will consider qualified applicants with arrest and conviction records in accordance with federal, state, and local laws and/or security clearance requirements, including, as applicable:
  • The California Fair Chance Act
  • Los Angeles City Fair Chance Ordinance
  • Los Angeles County Fair Chance Ordinance for Employers
  • San Francisco Fair Chance Ordinance
Massachusetts Candidates Only: It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.