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Google Big Data Jobs (NOW HIRING)

zdata

Big Data DevOps Engineer

Boise, ID

$45.75 - $62.50/hr

Company Description zData Inc is taking Big Data to a new level by providing best-in-class Big Data ... Experience with Data Warehousing and ETL/ELT Experience with AWS, Google Cloud Bachelor's Degree 5+ ...

Stellantis

Data Engineer

Auburn Hills, MI

$108K - $130K/yr

Comprehensive experience working with Big Data platforms (i.e., Spark, Google Big Query, Azure, AWS S3, etc.) * Familiarity with time series database, data streaming applications, event driven ...

zdata

Big Data DevOps Engineer

Boise, ID · On-site

$45.75 - $62.50/hr

Company Description zData Inc is taking Big Data to a new level by providing best-in-class Big Data ... Google Cloud • Bachelor's Degree • 5+ years of technical expertise. • Ability to Travel.

Futran Tech Solutions Pvt. Ltd.

Data Engineer

Houston, TX · On-site

$109K - $131K/yr

Big Data Engineer Houston Texas (Remote to start) Long Term Responsible for designing, developing ... Knowledge of Spark, Scala and other programming languages knowledge in airflow, google cloud, data ...

Ruri Software Technologies LLC

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 ...

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All JobsGoogle Big Data Jobs

Google Big Data information

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$46K

$165K

$243.5K

How much do google big data jobs pay per year?

As of Jul 17, 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.

Is big data a good career option?

A career in big data, including roles like data engineer or data analyst, is considered promising due to the increasing demand for data-driven decision making across industries. Success often requires skills in programming, data management tools, and analytics platforms like Hadoop or Spark. The field offers competitive salaries and growth opportunities for those with technical expertise and certifications.

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 is the salary of big data analyst in Google?

The salary of a Big Data Analyst at Google typically ranges from $80,000 to $150,000 annually, depending on experience, location, and skill level. Google values expertise in data analysis tools like SQL, Python, and BigQuery, and often offers competitive compensation packages for this role.

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 job?

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.

What tech jobs pay $400,000 a year?

In the tech industry, senior roles such as Data Engineering Managers, Cloud Architects, and Machine Learning Directors can reach or exceed $400,000 annually, especially with extensive experience, advanced skills in cloud platforms like AWS or GCP, and leadership responsibilities. These positions often require advanced degrees, certifications, and a strong track record in managing large-scale data systems or infrastructure.

How difficult is it to get hired at Google?

Getting hired for a Google Big Data role is competitive and typically requires strong technical skills in data engineering, proficiency with tools like Hadoop and Spark, and relevant experience or advanced education. Candidates often go through multiple interview rounds assessing technical knowledge, problem-solving, and cultural fit.
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:
What job categories do people searching Google Big Data jobs look for? The top searched job categories for Google Big Data jobs are:
Google Big Data jobs near you
Infographic showing various Google Big Data job openings in the United States as of July 2026, with employment types broken down into 2% As Needed, 67% Full Time, 28% Part Time, and 3% Contract. Highlights an 95% Physical, 1% Hybrid, and 4% Remote job distribution, with an average salary of $165,018 per year, or $79.3 per hour.
Software Developer/Engineer - Big Data

Software Developer/Engineer - Big Data

R2 Technologies Corporation

Alpharetta, GA • On-site

$111K - $134K/yr

Full-time

Medical, Dental, Vision, PTO

Re-posted 12 days ago

Job description

Overview:
We hire the best employees to serve our customers. We are looking for an experienced Software Developers and Engineers who has a passion for building software solutions, asking questions to solve customer problems and is comfortable working in a product environment.
Office Location: Alpharetta, GA
Alpharetta, GA
Full Time
F2F required & 100% Onsite from Day 1
This is a great opportunity to onboard on an emerging team to build software solutions that makes a direct impact to positive claims customer experience. You will be entering a high performance environment that inspires you to develop, guide, mentor and build solutions. The diversity of experience you will gain is dependent on your curiosity, your excitement to peek into the current state and express the future, challenge leadership with idea generation to continually refine the skills.
We Are Looking For Candidates With
  • Support or collaborate with application developers, database architects, data analysts and data scientists to ensure optimal data delivery architecture throughout ongoing projects/operations.
  • Design, build, and manage analytics infrastructure that can be utilized by data analysts, data scientists, and non-technical data consumers, which enables functions of the big data platform for Analytics.
  • Develop highly scalable data management interfaces, as well as software components by employing programming languages and tools.
  • Design, document, build, test and deploy data pipelines that assemble large complex datasets from various sources and integrate them into a unified view.
  • Identify, design, and implement operational improvements: automating manual processes, data quality checks, error handling and recovery, re-designing infrastructure as needed.
  • Create data models that will allow analytics and business teams to derive insights about customer behaviors
  • Build new data pipelines, identify existing data gaps and provide automated solutions to deliver analytical capabilities and enriched data to applications.
  • Develop techniques supporting trending and analytic decision making processes
  • Ensure systems meet business requirements and industry practices
  • Research opportunities for data acquisition and new uses for existing data
  • Develop data set processes for data modeling, mining and production
  • Hadoop development and implementation
  • Strong in Object Oriented Development in Scala/Java platform
  • Hands on experience in big data technologies including Scala or Spark, Hadoop, Hive, HDFS.
  • Strong SQL skills and experience
  • Designing, building, installing, configuring and supporting Big Data Clusters Spark/Kafka
  • Translate complex functional and technical requirements into detail design Implementing ETL process for integration of data from disparate sources
  • Cloud Experience is a plus
  • AWS or GCP or Azure: 2 years (Preferred)
  • Big Data Engineering: 5 years (Required)
  • Hadoop: 4 years (Required)

Educational Requirements
  • Bachelor's degree in STEM (Science, Technology, Engineering)
  • Master's degree in STEM (Science, Technology, Engineering)

Competencies
  • Communication
  • Initiative
  • Relationship Building
  • Critical Thinking
  • Technical/Functional Expertise

What You Can Expect
  • Next Steps: Competitive candidates may be invited to participate in the interview process. This is where the excitement begins!
  • Applicants are required to be eligible to lawfully work in the U.S. immediately; Preferably U.S Citizens and GC Holders.

What's In It for you?
  • Competitive Benefits, Pay and Bonus Potential, Group Health Insurance, Vision and Dental Insurance. Paid Vacation.

About R2 Technologies
R2 Technologies Corporation (R2) a Georgia Corporation with headquarters in Alpharetta GA, is a technology company in the space of Big Data, Oracle E-business Suite, DevOps & Managed Services, Mobile Application Development, HRMS, productivity platforms, which enables the end clients to deliver business value to their stakeholders. Platform based solutions provides an opportunity for quick turnaround of solutions. Google cloud, AWS and frameworks are part of our key solutions. We have been serving US industry since inception of the business, R2 is one of the fastest growing companies specializing in product development and staffing for leading local, regional and national clients consisting of small, midsize and fortune 1000 companies.
Skills:
Big Data

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