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Google Big Data Jobs (NOW HIRING)

Sr. Big Data Engineer

Chicago, IL · On-site

$84 - $94/hr

Design and implement pipelines within trusted environments across AWS, Google Cloud Platform, Azure, and on-premises infrastructure. * Implement access controls, data classification policies, lineage ...

Data Engineer, GCS Data Science

New York, NY · On-site

$125K - $150K/yr

Experience working with big data tools, distributed computing and non-relational databases ... Google Customer Solutions (GCS) sales teams are trusted advisors and competitive sellers who ...

Google Cloud Platform Data Engineer

Dearborn, MI · On-site

$105K - $126K/yr

Extensive experience with big data technologies, such as Apache Spark, Hadoop, Kafka, and Flink.Proven experience with cloud platforms, including AWS, Azure, or Google Cloud Platform, and their data ...

Senior Data Steward

Bentonville, AR · On-site

$92K - $130K/yr

Maintaining data assets in Google Big Query/Data Discovery. Employerwill accept any amount of graduate coursework, graduate researchexperienceor professional experience with the required skills. Rate ...

GCP Data Engineer

$117K - $140K/yr

Experience working in GCP based Big Data deployments (Batch/Real-Time)Leveraging Big Query,Fusion, Dataflow, Dataproc, etc. * Demonstrated mastery in Google BigQuery * Strong knowledge on Google ...

Data Engineer with GCP

$117K - $140K/yr

Experience working in GCP based Big Data deployments (Batch/Real-Time)Leveraging Big Query,Fusion, Dataflow, Dataproc, etc. * Demonstrated mastery in Google BigQuery * Strong knowledge on Google ...

US Sogeti | US Sogeti

$56.25 - $69.75/hr

Minimum of 5 years of experience in modern data engineering, data warehousing (Azure Synapse, Azure SQL, Amazon Redshift, Snowflake or Google Big Query), and data lake technologies on tperson Azure ...

Senior Data Engineer

Nashville, TN · On-site

$47 - $59/hr

... form and complex Google Big Query Some basic Python knowledge Problem solving skills ... This team will be responsible for designing and building data infrastructure, developing ...

Showing results 41-60

Google Big Data information

See salary details

$46K

$165K

$243.5K

How much do google big data jobs pay per year?

As of Aug 6, 2026, the average yearly pay for google big data in the United States is $165,018.00, according to ZipRecruiter salary data. Most workers in this role earn between $133,500.00 and $170,000.00 per year, depending on experience, location, and employer.

What types of projects or challenges can I expect to work on in a Google Big Data role?

In a Google Big Data position, you can expect to work on large-scale data integration, processing, and analysis projects that support business, product development, or customer insights. Typical challenges include designing scalable data pipelines, optimizing queries on massive datasets, ensuring data quality, and implementing advanced analytics or machine learning solutions. You'll often collaborate with data scientists, engineers, and product teams, using a variety of Google Cloud and open-source tools. This work environment is dynamic and encourages innovation, problem-solving, and continuous learning, providing opportunities to shape both technical solutions and strategic business outcomes.

What are the key skills and qualifications needed to thrive in the Google Big Data position, and why are they important?

To thrive in a Google Big Data role, you need a strong background in data engineering, distributed systems, and analytical problem-solving, typically supported by a degree in computer science or a related field. Mastery of big data technologies such as Hadoop, Spark, Cloud Dataflow, and familiarity with programming languages like Python or Java are essential, along with certifications in Google Cloud Platform (GCP) being highly desirable. Effective collaboration, strong communication skills, and the ability to translate complex data insights into actionable business recommendations help you excel on cross-functional teams. These skills and qualities are crucial for designing scalable big data solutions, uncovering meaningful insights, and driving impactful business decisions within a fast-paced tech environment.

What is a Google Big Data?

A Google Big Data job typically involves working with large-scale data storage, processing, and analytics using Google Cloud technologies like BigQuery, Dataflow, and Dataproc. Professionals in this field design, optimize, and manage data pipelines to help businesses extract insights from massive datasets. Responsibilities often include data engineering, machine learning integration, and performance tuning to ensure efficient data operations. Strong knowledge of cloud computing, SQL, and distributed computing frameworks is usually required.

More about Google Big Data jobs
What states have the most Google Big Data jobs? States with the most job openings for Google Big Data jobs include:
Infographic showing various Google Big Data job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 12% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $165,018 per year, or $79.3 per hour.

Big Data Engineer - Q123

R2 Technologies Corporation

Alpharetta, GA • On-site

$111K - $134K/yr

Full-time

Medical, Dental, Vision, PTO

Re-posted 5 days ago


Job description

Overview:
R2 Technologies Corporation (R2) is a technology services provider headquartered in Alpharetta, GA, with expertise in a range of cutting-edge technologies. R2 specializes in Java, Dot Net, Big Data, Cloud Computing, artificial intelligence (AI), machine learning (ML), software development, project management, SAP, and enterprise resource planning (ERP) systems. Additionally, R2 offers highly skilled resources and productivity platforms that enable clients to rapidly deliver business value to their stakeholders.
R2's strength lies in providing platform-based solutions, architecting, and designing enterprise solutions, leveraging cloud technologies such as Amazon Web Services (AWS), Google Cloud Platform (GCP), and Microsoft Azure to deliver scalable and cost-effective solutions.
R2's expertise in AI and ML enables clients to leverage the power of data to make data-driven decisions and improve their overall performance. R2 also provides solutions for internet of things (IoT) and blockchain technologies, which can help clients improve their supply chain management and streamline their operations.
Since its inception, R2 has rapidly grown to become one of the most respected and trusted technology companies in the United States, providing product development and staffing services to a diverse range of clients, including small and midsize businesses, as well as Fortune 1000 companies.
Job Title: Big Data Engineer
Location: Alpharetta, GA.
Type: Full-time / C2C
Overview:
We are seeking a skilled and experienced Developer to join our team. The ideal candidate will have expertise in programming and experience in building scalable and reliable applications.
Responsibilities:
• Develop and maintain a public cloud infrastructure and solutions to support the availability, orchestration, configuration, maintenance, and monitoring of cloud environments.
• Actively work with cloud and application architects to build cloud infrastructure for customer-facing applications and services.
• Build and maintain automation frameworks and tools to ensure high speed & low-cost provisioning, maximum uptime, and predictability while preventing outages and service interruptions or degradations.
• Communicate, coordinate, and collaborate with peers in Cloud Engineering.
Required Skills:
• Minimum of 3 years of experience working in an IT Infrastructure team in a Cloud, PaaS environment and supporting mission-critical services.
• Minimum of 3 years of experience designing, building, and supporting multi-regional IaaS/PaaS solutions on MS Azure or GCP or AWS.
• Experience in cloud automation, configuration management, and deployment of enterprise-scale infrastructures as code (IaC) using Ansible, Terraform, and Python.
• Experience with one or more container platforms such as Kubernetes or Docker is preferred.
• Proficient knowledge of the security processes, standards & issues involved in multi-tier cloud or hybrid applications, including relevant data privacy and compliance requirements. Familiarity with principles of network, application, and information security.
• Understanding of software engineering, including DevOps, CI/CD pipeline, test automation, environment, configuration automation, etc.
• Experience managing configuration, build and deployments for enterprise software solutions
• Experience with Kubernetes administration and operations
• Experience working on cloud-based infrastructure e.g Google Cloud Platform
• Experience with infrastructure as code (Terraform or CloudFormation)
• Experience with containerized systems and container orchestration
• Experience automating cloud platform configuration, build and deployments
• Excellent knowledge of Linux/Bash technologies
• Strong understanding of network fundamentals
• Familiarity with Agile methodologies and practices
• Experience managing multiple projects and priorities simultaneously
• Ability to understand critical issues and bring appropriate resolution to complex issues
Optional Skills:
• Experience with cloud-native architecture and Microservices with CI/CD pipelines are a plus.
• Experience with building cloud automation capabilities using VMware vRA stack.
• Agile methodology experience and working experience in a scrum team are preferred.
• Experience in infrastructure architecture, database architecture or networking
• Experience working within support, services, software development or Internet-related industries
• Experience migrating or transforming legacy customer solutions to the cloud
• Experience managing highly available data center operations with responsibility for infrastructure robustness, including networking, server hardware and storage
• Familiarity/experience with Atlassian products ( Jira, Confluence, Bitbucket, etc. ) and related technology
• AWS cloud cost model and services
Qualifications:
• Bachelor's degree in computer science, Engineering, or related field.
• Relevant certification.
Attributes:
We are seeking a candidate who is passionate, intelligent, and a critical thinker. The ideal candidate should be a proactive communicator, documenting their work clearly and succinctly. They should be detail-oriented, thoughtful, and respectful, with a focus on teamwork. The candidate should possess strong problem-solving skills and have the ability to work independently and within a team. They should be able to adapt to changing requirements and maintain a positive attitude in a fast-paced environment.
What's In It for You?
We offer competitive benefits, pay, and bonus potential, including group health insurance, vision and dental insurance, and paid vacation.
Skills:
Big Data,Cloud Computing IaaS,Cloud Applications,PaaS