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Google Big Data Jobs (NOW HIRING)

ZipRecruiter

Senior Software Engineer, Big Data

Seattle, WA · Remote

$140K - $200K/yr

Experience with Hadoop, Spark, Hive, and/or other big data technologies * Comprehensive computer ... Familiarity with Apache Hudi, Apache Beam, Apache Flink, Google Cloud Dataflow, Amazon Kinesis Data ...

ZipRecruiter

Senior Software Engineer, Big Data

Seattle, WA · Remote

$140K - $200K/yr

Experience with Hadoop, Spark, Hive, and/or other big data technologies * Comprehensive computer ... Familiarity with Apache Hudi, Apache Beam, Apache Flink, Google Cloud Dataflow, Amazon Kinesis Data ...

ZipRecruiter

Senior Software Engineer, Big Data

Seattle, WA · Remote

$140K - $200K/yr

Experience with Hadoop, Spark, Hive, and/or other big data technologies * Comprehensive computer ... Familiarity with Apache Hudi, Apache Beam, Apache Flink, Google Cloud Dataflow, Amazon Kinesis Data ...

KK Associates

Big Data Technical Architect

Manhattan, NY · On-site

$70.25 - $90.50/hr

Exceptional hands-on proficiency and deep architectural understanding of the Big Data ecosystem ... or Google Cloud Platform (e.g., Dataproc, BigQuery, Cloud Storage). * Expert-level hands-on ...

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+ ...

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.

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 ...

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Showing results 21-40

All JobsGoogle Big Data Jobs

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:
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 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 / Developer ___ Remote ___ Contract

Acestack

Richmond, VA • Remote

$57 - $75.50/hr

Contractor

Re-posted 19 days ago

Job description

Role: Big Data Engineer / Developer
Location: Remote (Virginia / EST Time)
Long Term Contract – W2 / C2C Only

Required Skills & Experience:

  • Overall IT Experience: 8-10 Years.
  • 7+ years of experience in application development including Python, SQL, Scala, or Java
  • 4+ years of experience with a public cloud (AWS, Microsoft Azure, Google Cloud)
  • 4+ years’ experience with Distributed data/computing tools (MapReduce, Hadoop, Hive, EMR, Kafka, Spark, Gurobi, or MySQL)
  • 4+ year experience working on real-time data and streaming applications
  • 4+ years of experience with NoSQL implementation (Mongo, Cassandra)
  • 4+ years of data warehousing experience (Redshift or Snowflake)
  • 4+ years of experience with UNIX/Linux including basic commands and shell scripting
  • 2+ years of experience with Agile engineering practices

If interested, please share your resume to vivekk@acestackllc.com 

AceStack logo

About AceStack

Sourced by ZipRecruiter

AceStack is a global IT consulting & Staffing agency. We deal in Health care (Nursing, Allied, Clinical/Non-clinical) Staffing, Engineering Staffing & I.T. Staffing. Founded in 2017 in New Jersey, AceStack has reported consistent growth and profit every year and carries zero debt. AceStack consultants are placed across USA, Canada, Mexico, and Asia. In addition to our headquarters in New Jersey – USA, we also have offices in Canada, Noida, and Ahmedabad. AceStack’s exceptionally high-touch service keeps our clients satisfied and our Consultants/Travelers engaged. We believe in investing in our Consultants/Clients in a variety of ways. We employ AceStack ambassador who helps guide Consultants through the on-boarding process and ensure the transition into their new role with our Client is seamless. We also have dedicated Consultant care representatives located throughout our organization who provide the same level of attention throughout our Consultant’s tenure. Due to this level of attention and care, AceStack enjoys not only one of the highest retention rates in the staffing industry but also one of the highest redeployment rates in the industry.

Company size

51 - 200 Employees

Headquarters location

NJ, US

Year founded

2017

Social media

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