ZipRecruiter

Log In

1

Google Big Data Jobs (NOW HIRING)

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 ...

Tata Consultancy Services

SRE with Data Engineer

Phoenix, AZ · On-site

$113K - $136K/yr

... g., Google Big Query) • Strong analytical and problem-solving skills to address complex data challenges • Basic knowledge on JAVA, Springboot • Strong SQL skill Company : Tata Consultancy ...

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 ...

Saransh Inc

GCP Big Query Admin

Ashburn, VA · On-site

Please don't share GCP Engineers / Data Engineers - Need Admin candidates We are looking for a BQ ... Google Big Query environments, including datasets, tables, and access controls • Monitor and ...

USM

Big Data Engineer

Washington, DC · On-site

$63.25 - $83.50/hr

Job Title: Big Data Engineer Location: Washington, DC Duration: 6 Months Face to Face Must (NO ... Experience with hosted cloud storage services such as AWS or Google Cloud Platform. Understanding ...

Jobsbridge

Big Data Architect

Boston, MA · On-site

$69.25 - $89/hr

... Web Services, Google, Azure - Experience managing the full lifecycle of a Hadoop Solution ... big data solutions like Hadoop, MapReduce, Hive, HBASE, MongoDB, Cassandra, Spark, Impala, Oozie ...

IntraEdge

GCP Data Engineer

Austin, TX · On-site

$113K - $136K/yr

You need to have expertise in Google Big Query, Google Cloud Storage, Dataflow, Cloud Composer, Python, and SQL will be crucial in developing effective data solution that support our fraud data ...

next page

Showing results 1-20

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 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.

Technical Lead Big data

Futran Tech Solutions Pvt. Ltd.

Atlanta, GA • On-site

Full-time

Re-posted 27 days ago

Job description

  • 10 years of experience and working as a Lead Data Engineer
  • Senior Experience in designing, building and operationalizing large-scale enterprise data solutions and applications using one or more of GCP data and analytics services in combination with 3rd parties - Spark, Hive, Databrick, Cloud Data Proc, Cloud Dataflow, Apache Beam composer, Big Table, Cloud Big Query, Cloud Pub Sub, Cloud storage Cloud Functions & GitHub
  • Experience working in GCP and Google Big Query Strong SQL knowledge - able to translate complex scenarios into queries
  • Mentor other data engineers, having a voice in defining the challenging technical culture, and helping to build a fast-growing team
  • Possess excellent written and verbal communication skills with the ability to communicate with team members at various levels, including business leaders
  • Coordinate with developers architects stakeholders and cross functional teams from organization and customer side
  • Strong Programming experience in Python or Java Experience with Data modeling and mapping.
  • Experience in Google Cloud platform (especially Big Query) Experience developing scripts for flowing data into GBQ from external data sources.
  • Experience in Data Fusion for automation of data movement and QA. Experience with Google Cloud SDK & API Scripting.
  • Experience in per forming detail assessments of current state data platforms and creating an appropriate transition path to GCP cloud
  • Active Google Cloud Data Engineer Certification or Active Google Professional Cloud Architect Certification will be great
  • Data migration experience from on prim legacy systems Hadoop, Exadata, Oracle Teradata, or Netezza to any cloud platform
  • Experience with Data Lake, data warehouse ETL build and design
  • Experience in designing and building production data pipelines from data ingestion to consumption within a hybrid big data architecture, using Cloud Native GCP, Java, Python, Scala, SQL etc.
  • Experience in implementing next generation data and analytics platforms on GCP cloud
  • Experience in Jenkins, Jira, confluence.

Apply