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Remote Google Bigquery Jobs (NOW HIRING)

Genesis10

Data Engineer - Remote

$117K - $140K/yr

Responsibilities : • Design and manage datasets in Google BigQuery, including partitioning, clustering, and cost-optimization techniques • Orchestrate complex, production-grade data pipelines ...

The Maven Group, LLC

BigQuery Developer

Raleigh, NC · Remote

Experience with BigQuery and Looker is required along with as much Google Cloud Platform (GCP ... All roles will be remote and can be located anywhere in the US (preference to more West Coast)

The Maven Group, LLC

BigQuery Developer

Raleigh, NC · Remote

Experience with BigQuery and Looker is required along with as much Google Cloud Platform (GCP ... All roles will be remote and can be located anywhere in the US (preference to more West Coast)

Extractable

Python Integrations Developer

San Francisco, CA · Remote

$59.25 - $81.50/hr

Google Analytics 4, Google BigQuery, Google Tag Manager, Looker Requirements Must Have * 3+ years ... Remote-first culture * Opportunity to grow with a scaling fintech company * Direct impact on client ...

Extractable

Python Integrations Developer

San Francisco, CA · Remote

$59.25 - $81.50/hr

Google Analytics 4, Google BigQuery, Google Tag Manager, Looker Requirements Must Have * 3+ years ... Remote-first culture * Opportunity to grow with a scaling fintech company * Direct impact on client ...

Techpeople.US, Inc

CDO / CTO

Pittsburgh, PA · Remote

REMOTE * # of Positions: 1 * Eligibility: Open * Client Name / Domain: MFG. * Bill Rate: $?? per ... Snowflake, Databricks, Azure, AWS Synapse, AWS Fabric, Google BigQuery, Oracle Autonomous, AI Data ...

Vultr

Senior Business Intelligence Architect

$125K - $150K/yr

... 500 stipend for remote office setup in first year + $400 each following year * Internet ... Architect and maintain the end-to-end BI infrastructure, leveraging Google BigQuery, Fivetran ...

Judge Group, Inc.

GOOGLE Data Architect

Columbus, OH · Remote

$75 - $85/hr

Columbus, OH (4 days onsite, 1 day remote) Type: 3+ Months Contract to Hire Overview: We're looking ... Strong experience with Google Cloud Platform tools (BigQuery, Pub/Sub, Dataflow, Bigtable, GKE, etc.

Argano

Senior Pigment Consultant (Remote)

Minneapolis, MN · Remote

$95K - $130K/yr

... Google BigQuery, S3, etc.) * Knowledge of Excel, SQL, programming logic What We Offer * Flexible ... Remote work flexibility * Trendy, collaborative and dog-friendly office at our HQ in Minneapolis ...

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All JobsRemote Google Bigquery Jobs

Remote Google Bigquery information

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How much do remote google bigquery jobs pay per hour?

As of Jun 12, 2026, the average hourly pay for remote google bigquery in the United States is $27.67, according to ZipRecruiter salary data. Most workers in this role earn between $21.63 and $33.17 per hour, depending on experience, location, and employer.

What are some common challenges faced by professionals working remotely with Google BigQuery, and how can they be addressed?

One common challenge remote Google BigQuery professionals face is optimizing query performance while managing cost, since inefficient queries can quickly increase expenses. Collaboration with distributed teams can also be tricky, especially when aligning on data schema changes or troubleshooting issues across time zones. To address these, it's helpful to establish clear documentation practices, use version control for SQL scripts, and schedule regular check-ins with team members. Leveraging Google BigQuery's built-in monitoring and cost control tools also helps maintain project efficiency and budget constraints.

What is the difference between Remote Google Bigquery vs Remote Data Analyst?

AspectRemote Google BigqueryRemote Data Analyst
Required CredentialsSQL, Cloud certifications, Google Cloud certificationsSQL, Data analysis, Excel, sometimes certifications
Work EnvironmentCloud platforms, data warehouses, remote teamsData visualization tools, spreadsheets, reporting platforms
Industry UsageData engineering, cloud services, analyticsBusiness intelligence, reporting, insights

Remote Google Bigquery specialists focus on managing and querying large datasets using Google Cloud, requiring technical skills and cloud certifications. Remote Data Analysts interpret data, create reports, and provide insights, often using visualization tools. While both roles work remotely and handle data, Bigquery roles are more technical and cloud-focused, whereas Data Analysts focus on analysis and reporting.

What are the key skills and qualifications needed to thrive as a Remote Google BigQuery Specialist, and why are they important?

To excel as a Remote Google BigQuery Specialist, you need a solid background in SQL, data warehousing concepts, and experience with cloud-based analytics platforms, typically supported by a degree in computer science or a related field. Familiarity with Google Cloud Platform (GCP), BigQuery ML, data visualization tools like Looker or Tableau, and relevant certifications such as Google Professional Data Engineer are highly beneficial. Strong problem-solving skills, attention to detail, and effective remote communication set top performers apart. These skills and qualifications enable efficient management of large datasets, insightful analytics, and seamless collaboration in distributed teams.

What is a Remote Google BigQuery job?

A Remote Google BigQuery job is a position where professionals manage, analyze, and optimize large datasets using Google BigQuery, a fully-managed cloud data warehouse, while working from a location outside of a traditional office. These roles typically involve writing SQL queries, building data pipelines, and collaborating with data engineers and analysts to derive insights from data stored in the cloud. Remote BigQuery specialists may also be responsible for maintaining data security, optimizing query performance, and integrating BigQuery with other data tools. This flexible setup allows employees to work from anywhere with a stable internet connection while supporting organizations' data needs.
More about Remote Google Bigquery jobs
What cities are hiring for Remote Google Bigquery jobs? Cities with the most Remote Google Bigquery job openings:
What are the most commonly searched types of Google Bigquery jobs? The most popular types of Google Bigquery jobs are:
What states have the most Remote Google Bigquery jobs? States with the most job openings for Remote Google Bigquery jobs include:
What job categories do people searching Remote Google Bigquery jobs look for? The top searched job categories for Remote Google Bigquery jobs are:
Remote Google Bigquery jobs near you
Infographic showing various Remote Google Bigquery job openings in the United States as of June 2026, with employment types broken down into 57% Full Time, and 43% Contract. Highlights an 100% Remote job distribution, with an average salary of $57,562 per year, or $27.7 per hour.

Data Engineer (Part time) - BigQuery / GA4

LHH US

Portland, OR • Remote

$50 - $70/hr

Part-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 2 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.