2

Remote Google Bigquery Jobs in Georgia (NOW HIRING)

Data Engineer - GCP

Atlanta, GA · On-site +1

$110K - $132K/yr

Our Google Cloud Data Engineer will play a key role in designing, developing, and managing scalable ... Design and implement data storage solutions using BigQuery, Cloud Storage, and Firestore.

Data Engineer - GCP

Atlanta, GA · On-site +1

$110K - $132K/yr

Our Google Cloud Data Engineer will play a key role in designing, developing, and managing scalable ... Design and implement data storage solutions using BigQuery, Cloud Storage, and Firestore.

Backend & AI/ML Engineer

Alpharetta, GA · On-site +1

$106K - $160K/yr

... Google Cloud Platform services including GKE, Cloud Run, BigQuery, AlloyDB, Cloud Storage, and ... The starting pay range for this remote role is $106,840.00 to $160,260.00. This range reflects the ...

Backend & AI/ML Engineer

Alpharetta, GA · On-site +1

$106K - $160K/yr

... Google Cloud Platform services including GKE, Cloud Run, BigQuery, AlloyDB, Cloud Storage, and ... The starting pay range for this remote role is $106,840.00 to $160,260.00. This range reflects the ...

This is a remote position, open to candidates who reside in: Atlanta, GA. You will be fully remote ... Proficiency in SQL/BigQuery to analyze large datasets * Proficiency working with NetSuite and ...

This is a remote position, open to candidates who reside in: Atlanta, GA. You will be fully remote ... Proficiency in SQL/BigQuery to analyze large datasets * Proficiency working with NetSuite and ...

Remote Google Bigquery information

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?

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?

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.
Infographic showing various Remote Google Bigquery job openings in Georgia as of July 2026, with employment types broken down into 6% Locum Tenens, 5% As Needed, 83% Full Time, 1% Part Time, 4% Contract, and 1% Nights. Highlights an 77% Physical, 3% Hybrid, and 20% Remote job distribution.

DevOps & Data Engineer - GCP (Google Cloud Platform)

NTT DATA Services

Alpharetta, GA • On-site, Remote

$106K - $160K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 12 days ago


NTT Data rating

7.4

Company rating: 7.4 out of 10

Based on 92 frontline employees who took The Breakroom Quiz

117th of 223 rated it services


Job description

Req ID: 383088 

NTT DATA strives to hire exceptional, innovative and passionate individuals who want to grow with us. If you want to be part of an inclusive, adaptable, and forward-thinking organization, apply now.

We are currently seeking a DevOps & Data Engineer - GCP (Google Cloud Platform) to join our team in Alpharetta, Georgia,, Georgia (US-GA), United States (US).

Day to Day Job Duties: 

  • Develop AI/ML applications leveraging Google's Gemini API for natural language understanding and generation.
  • Build and enhance cloud-native applications using Python, Databricks, and Google Cloud Platform.
    Design, develop, and maintain scalable backend services using Cloud Run and serverless architectures.
  • Develop and optimize APIs using Google Cloud API Gateway while following security and performance best practices.
  • Build and maintain AI/ML data pipelines using Databricks.
  • Develop and maintain CI/CD pipelines using GitOps methodologies.
  • Manage build artifacts and repositories using JFrog Artifactory and Azure DevOps.
  • Work with GCP data services including BigQuery, AlloyDB, Cloud Storage, and Spanner.
  • Develop event-driven integrations using Pub/Sub and Kafka.
  • Implement Infrastructure as Code using Terraform.
  • Collaborate with Product, Data Engineering, and Infrastructure teams to deliver scalable AI solutions.
  • Follow GCP security, IAM, encryption, and cloud best practices throughout the development lifecycle.
    Required Qualifications
  • 5+ years of experience in Backend Development, AI/ML Engineering, DevOps, or Cloud Engineering.
  • 5+ years experience with Google Cloud Platform services including Cloud Run, GKE, BigQuery, AlloyDB, Cloud Storage, and serverless technologies.
  • 5+ years experience developing applications using Python.
  • 5+ years experience with Databricks for AI/ML and data processing workloads.
  • 5+ years experience with REST API development and Google Cloud API Gateway.
  • 5+ years experience with CI/CD, GitOps, Azure DevOps, and JFrog Artifactory.
  • 5+ years Experience implementing Infrastructure as Code using Terraform.
  • 5+ years experience with Pub/Sub or Kafka.
  • 5+ years experience of GCP IAM, encryption, and cloud security best practices.

Preferred Qualifications.

  • Strong analytical, troubleshooting, and problem-solving skills.
  • Good communication and collaboration skills.

Education

  • Bachelor's degree in Computer Science, Engineering, or a related field.

#LI-NorthAmerica

NTT DATA provides a reasonable range of compensation for U.S.-based positions. The starting pay range for this remote role is $106,840.00 to $160,260.00. This range reflects the minimum and maximum target compensation for the position across all US locations. Actual compensation will depend on a number of factors, including the candidate's actual work location, relevant experience, technical skills, and other qualifications. This position may also be eligible for incentive compensation based on individual and/or company performance. If the position offered in temporary, the position will not be eligible for incentive compensation.

This position is eligible for company benefits including medical, dental, and vision insurance with an employer contribution, flexible spending or health savings account, life and AD&D insurance, short and long term disability coverage, paid time off, employee assistance, participation in a 401k program with company match, and additional voluntary or legally-required benefits.

About NTT DATA

NTT DATA is a $30 billion business and technology services leader, serving 75% of the Fortune Global 100. We are committed to accelerating client success and positively impacting society through responsible innovation. We are one of the world's leading AI and digital infrastructure providers, with unmatched capabilities in enterprise-scale AI, cloud, security, connectivity, data centers and application services. our consulting and Industry solutions help organizations and society move confidently and sustainably into the digital future. As a Global Top Employer, we have experts in more than 50 countries. We also offer clients access to a robust ecosystem of innovation centers as well as established and start-up partners. NTT DATA is a part of NTT Group, which invests over $3 billion each year in R&D.

Whenever possible, we hire locally to NTT DATA offices or client sites. This ensures we can provide timely and effective support tailored to each client's needs. While many positions offer remote or hybrid work options, these arrangements are subject to change based on client requirements. For employees near an NTT DATA office or client site, in-office attendance may be required for meetings or events, depending on business needs. At NTT DATA, we are committed to staying flexible and meeting the evolving needs of both our clients and employees. NTT DATA recruiters will never ask for payment or banking information and will only use @nttdata.com, @nttdatafed.com and @talent.nttdataservices.com email addresses. If you are requested to provide payment or disclose banking information, please submit a contact us form, https://us.nttdata.com/en/contact-us.

NTT DATA endeavors to make https://us.nttdata.com accessible to any and all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please contact us at https://us.nttdata.com/en/contact-us. This contact information is for accommodation requests only and cannot be used to inquire about the status of applications. NTT DATA is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status. For our EEO Policy Statement, please click here. If you'd like more information on your EEO rights under the law, please click here. For Pay Transparency information, please click here.


What NTT Data employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom


NTT DATA logo

About NTT DATA

Sourced by ZipRecruiter

NTT DATA Services is a global business and IT services provider specializing in digital, cloud and automation across a comprehensive portfolio of consulting, applications, infrastructure and business process services. We are part of the NTT family of companies, a partner to 85 % of the Fortune 100.

Industry

It services

Company size

10,000+ Employees

Headquarters location

Plano, TX, US

Year founded

1967