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Google Big Data Jobs (NOW HIRING)

MST Solutions

Data Engineer

Phoenix, AZ

$109K - $131K/yr

In-depth knowledge of Google big data technologies. Skills: * Proficiency in building and optimizing data pipelines. * Strong understanding of data management and transformation. * Experience with ...

MST Solutions

Data Engineer

Phoenix, AZ · On-site

$109K - $131K/yr

In-depth knowledge of Google big data technologies. Skills: * Proficiency in building and optimizing data pipelines. * Strong understanding of data management and transformation. * Experience with ...

MST Solutions

Data Engineer

Phoenix, AZ

$109K - $131K/yr

In-depth knowledge of Google big data technologies. Skills: * Proficiency in building and optimizing data pipelines. * Strong understanding of data management and transformation. * Experience with ...

Sarian, Inc.

Data Architect

$65.25 - $84/hr

In-depth knowledge of data warehousing concepts and tools (e.g., Redshift, Snowflake, Google Big Query) * Experience with big data platforms (e.g., Hadoop, Spark, Kafka). * Familiarity with cloud ...

Tror AI for everyone

Big Data Developer

Atlanta, GA · On-site

$51 - $66/hr

Only USC / GC Experience: 8+ Years Job Summary We are seeking an experienced Big Data Developer with strong expertise in Google Cloud Platform (GCP), Dataflow, and modern Big Data technologies . The ...

MST Solutions

Java Engineer

Phoenix, AZ · On-site

$49.50 - $68/hr

At least basic working knowledge of GCP and Google big data technologies would be a plus. Responsibilities will be center around the challenges in our business area including: * Scale of data: every ...

GMV

Big Data engineer

Naples, NC · On-site +1

$53.25 - $70.50/hr

... AI, Google AI, etc.), and big data architectures to respond to the needs of a society that is ... evolving more and more rapidly. You will be part of our Big Data team whose mission is to ...

Guru Schools

Big Data Engineer

Irving, TX · On-site

$53.50 - $70.75/hr

Big Data Engineer Location : Irving TX (hybrid role) (Only local candidates) Duration : 12 Months ... Working experience on Google Cloud platform is a big plus * Development experience for tools and ...

GMV

Big Data engineer

Naples, NC · On-site +1

$53.25 - $70.50/hr

... AI, Google AI, etc.), and big data architectures to respond to the needs of a society that is ... evolving more and more rapidly. You will be part of our Big Data team whose mission is to ...

Tencent

This role requires a blend of deep technical expertise in big data and a keen insight into the ... Familiarity with mainstream global cloud products such as AWS EMR/Redshift, Google BigQuery ...

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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 Jun 12, 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 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.

More about Google Big Data jobs
What cities are hiring for Google Big Data jobs? Cities with the most Google Big Data job openings:
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 June 2026, with employment types broken down into 1% As Needed, 91% Full Time, 6% Part Time, and 2% Contract. Highlights an 94% Physical, 2% Hybrid, and 4% Remote job distribution, with an average salary of $165,018 per year, or $79.3 per hour.

Big Data Hadoop Developer

Purple Drive Technologies

Phoenix, AZ • On-site

Full-time

Posted 21 days ago

Job description

Overview:
Hi All,
Role Descriptions: Must Have TechnicalFunctional SkillsIn-depth knowledge of the Hadoop ecosystem| including HDFS| MapReduce| Spark | Scala | HiveExpertise in Hive for data warehousing and querying large datasets.Strong experience with Apache Spark for distributed data processing and real-time analytics.Advanced proficiency in Scala programming for big data application development.Familiarity with data modeling| ETL processes| and data integration techniques.Experience with cloud platforms and big data tools (e.g.| Google Big Query).Strong analytical and problem-solving skills to address complex data challenges.Basic knowledge on JAVA | SpringbootStrong SQL skill.Roles ResponsibilitiesArchitect and design scalable big data solutions leveraging technologies like Hadoop| Hive| Spark| and Scala.Develop and optimize data pipelines and workflows for processing and analyzing large-scale datasets.Manage and fine-tune distributed computing frameworks to ensure high performance and reliability.Collaborate with cross-functional teams| including data engineers| analysts| and business stakeholders| to gather and define data requirements.Implement data security| governance| and compliance measures in big data environments.Diagnose and resolve technical issues in big data systems to maintain operational efficiency.Generic Managerial Skills| If anyDecision Making| Problem Solving| Leadership| Time Managementproficient in Java Application development| Java script and Application developemnt
Essential Skills: Must Have TechnicalFunctional SkillsIn-depth knowledge of the Hadoop ecosystem| including HDFS| MapReduce| Spark | Scala | HiveExpertise in Hive for data warehousing and querying large datasets.Strong experience with Apache Spark for distributed data processing and real-time analytics.Advanced proficiency in Scala programming for big data application development.Familiarity with data modeling| ETL processes| and data integration techniques.Experience with cloud platforms and big data tools (e.g.| Google Big Query).Strong analytical and problem-solving skills to address complex data challenges.Basic knowledge on JAVA | SpringbootStrong SQL skill.Roles ResponsibilitiesArchitect and design scalable big data solutions leveraging technologies like Hadoop| Hive| Spark| and Scala.Develop and optimize data pipelines and workflows for processing and analyzing large-scale datasets.Manage and fine-tune distributed computing frameworks to ensure high performance and reliability.Collaborate with cross-functional teams| including data engineers| analysts| and business stakeholders| to gather and define data requirements.Implement data security| governance| and compliance measures in big data environments.Diagnose and resolve technical issues in big data systems to maintain operational efficiency.Generic Managerial Skills| If anyDecision Making| Problem Solving| Leadership| Time Managementproficient in Java Application development| Java script and Application developemnt

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