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Remote Google Bigquery Jobs (NOW HIRING)

Google BigQuery) is a plus * Understanding of best practices in web/app tracking and implementation and campaign tracking expertise is a plus #LI-JK1 #LI-REMOTE At MERGE, we're committed to fostering ...

GCP Data Engineer

$117K - $140K/yr

Denver, CO (Remote) Only W2 Candidates Job Summary We are seeking a highly skilled Data Engineer ... Strong hands-on experience with Google Cloud Platform (GCP) * Expertise in BigQuery (partitioning ...

New

$116K - $153K/yr

Aimpoint Digital is a dynamic and fully remote data and analytics consultancy. We work alongside ... Experience working with cloud data warehouses (Databricks, Snowflake, Google BigQuery, AWS Redshift ...

Data Scientist 1

OR · On-site +1

$95K - $115K/yr

Experience with Google BigQuery or Google Cloud Platform (GCP), AWS or Azure tools as they relate ... Monthly Remote Work Stipend * New Hire Office Equipment Reimbursement Adswerve is an Equal ...

Senior AI Data Architect

$68.75 - $92/hr

Remote, USA Posting Start Date: 4/7/26 Req Id: 7594 Required Travel: 0 - 20% Remote, Onsite or ... Google Cloud. Implement and manage core platforms and tools, including: * Data Services: BigQuery ...

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Remote Google Bigquery information

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$15

$27

$37

How much do remote google bigquery jobs pay per hour?

As of Jul 3, 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.

How can I make 2000 a week working from home?

A remote Google BigQuery professional can increase earnings by taking on multiple freelance or consulting projects, developing specialized skills, and building a strong portfolio. Earning $2000 weekly typically requires consistent work, high-demand expertise, and efficient project management, often involving remote collaboration tools and certifications. Such income levels are achievable with experience and a steady client base in data analysis or cloud data management roles.

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.

Does Google offer fully remote jobs?

Google offers a variety of remote job opportunities, including roles related to data analysis and cloud services such as Google BigQuery. Many positions are now available as fully remote or hybrid, depending on the role and team requirements, with remote work policies evolving to support flexible schedules and digital collaboration tools.

Is BigQuery in demand?

BigQuery is a widely used cloud data warehouse tool, and roles involving BigQuery are in high demand due to the growth of data analytics and cloud computing. Skills in SQL, data modeling, and cloud platforms like Google Cloud are valuable for professionals working with BigQuery.

How can I make $100,000 a year working from home?

A remote Google BigQuery professional can reach a $100,000 annual salary by gaining advanced skills in data analysis, SQL, and cloud computing, obtaining relevant certifications, and gaining experience in high-demand industries. Building a strong portfolio and working for companies that value remote data expertise can also increase earning potential. Consistent skill development and networking are key to reaching this income level remotely.

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:
Infographic showing various Remote Google Bigquery job openings in the United States as of June 2026, with employment types broken down into 85% Full Time, 8% Part Time, 1% Temporary, and 6% Contract. Highlights an 37% Physical, 3% Hybrid, and 60% Remote job distribution, with an average salary of $57,562 per year, or $27.7 per hour.
Manager, Applied Intelligence

Manager, Applied Intelligence

MERGE

Remote

$8/hr

Full-time

Medical, Dental, Vision, Life, Retirement

Posted 8 days ago


Job description

At MERGE, we are Built Different. We are a marketing and technology agency purpose-built for the intersection of health and wellness-where human impact matters most. By weaving storytelling through technology, we move beyond traditional engagement to Whole Human Marketing. This approach recognizes that humans are multidimensional and complex, and uses AI to ensure every brand interaction feels natural, contextual, and relevant.
This commitment to human-first innovation is what brings us together and propels us forward. We are united by our North Star: to unite people and brands to empower healthier, happier lives.
Emerge to the Top of Your Career
At MERGE, we strive to create a superior work experience where talented and ambitious people grow. An experience that encourages people to think higher and feel deeper. An experience where people engage their minds and hearts to do the best work of their careers.
As our Manager, Applied Intelligence you will...
Lead the performance reporting and analysis for various client engagements, including traditional, digital, and social media programs. The goal is to maximize our clients' return on marketing investment through ongoing program measurement, disciplined in-market testing, and results-based performance management.
Be Accountable and Responsible
  • Work closely with clients to understand measurement and reporting needs, bring thought leadership, and tailor viable web analytics solutions, visualizations, and analytics models
  • Proactive at performing exploratory data analysis to understand patterns, identify business drivers, and unearth insights to fuel optimization to improve customer experiences
  • Be an expert at creating innovative solutions to solve complex business problems and guide digital transformation for brands across different industries
  • Be responsible for owning all aspects of A/B testing from test design to delivering learnings and passionate about harvesting a strong testing culture
  • Be the day-to-day analytics resource on multiple client workstreams
  • Have the ability to partner with cross-functional teams and manage time efficiently across multiple projects
  • Define, drive, and track key performance indicators and success metrics for marketing content/experiences and web development operations
  • Be adept at communicating and representing results of analysis in a simple way to clients

These are the qualifications we're looking for
  • 5-7 years of digital analytics experience with at least 2+ years of experience designing Adobe Analytics or Google Analytics solutions, tagging via Adobe Launch or Google Tag Manager
  • 5-7 years of experience in digital measurement, strategic planning, analysis, quantitative research, data modeling, and/or management consulting work in a data-driven environment
  • 5-7 years of hands-on experience using data to conclude and presenting to clients and then proposing a learning agenda
  • Bachelor's Degree in related discipline or equivalent experience
  • Experience in engaging in constructive dialogues with client partners
  • Experience managing and mentoring data analytics teams
  • Advanced Excel or Google Sheets experience, proficiency with PowerPoint, and comfortability with Google Workspace
  • Functional understanding of HTML, CSS, and JavaScript for analytics and marketing tagging purposes
  • Knowledge of statistics: hypothesis setting, experimental design, modeling, etc.
  • Proficient in applying shared learnings across client engagements
  • Exposure to Customer Data Platforms (CDPs), Customer Relationship Management (CRM) or Data Management Platforms (DMPs)
  • Strong understanding of digital marketing channels including Email, Display, Paid Search, and Social Media Marketing
  • Self-starter with a solution-oriented mindset and experience communicating with clients and cross-functional internal teams
  • Exposure to retail, financial, or health industry is a plus
  • Basic proficiency with SQL, Python, or R is a plus
  • Familiarity with Data Cloud Platforms (e.g. Google BigQuery) is a plus
  • Understanding of best practices in web/app tracking and implementation and campaign tracking expertise is a plus

#LI-JK1
#LI-REMOTE
At MERGE, we're committed to fostering an environment where our team members can thrive in both their careers and personal lives, ensuring they feel supported and empowered to succeed.
We're a remote-friendly, hybrid company. We have hubs in Chicago, Atlanta, Boston, Kansas City, Denver, Raleigh, & New York. If you live within 40 miles of a hub, we'd love to see you in person for the moments that matter-like key meetings, team-building, or when a colleague is visiting from out of town. We value flexibility, but we believe the best collaboration happens when we're intentional about connecting in person.
MERGE believes in transparency and equity. In accordance with state regulations, we're proud to include salary ranges in our job postings to ensure fair compensation practices.
The salary range for this role is $88,450 - $129,750 based on the individual's skills, experience, qualifications, location, and other relevant factors. The salary pay range is subject to change and may be modified at any time.
MERGE is proud to invest in benefits that include meaningful Medical, Dental, Vision, Life Insurance, 401K, Lifestyle Spending Account, Employer Paid Life & Disability Insurance, Flexible Time off & Holidays plus many other benefits and rewards.
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.
And here's how we live our values at MERGE
  • Ability. Mastering our craft
  • Agility. Delivering with a growth mindset
  • Humility. Collaborating for shared success

MERGE is proud to be an Equal Opportunity Employer
MERGE welcomes and celebrates diversity regardless of race, religion, color, national origin, gender, sexual orientation, veteran status or people with abilities. We believe that the more diverse we are, the more creative our work will be!