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Google Big Data Jobs (NOW HIRING)

Vanguard Group

Data Engineer, Specialist

Malvern, PA · On-site

$112K - $134K/yr

Hands-on experience with cloud-based data platforms such as AWS (Redshift, Glue), Google Cloud (Big Query, Dataflow), or Azure (Synapse, Data Factory). Special Factors Sponsorship Vanguard is not ...

Futran Tech Solutions Pvt. Ltd.

GCP DevOps

Baltimore, MD · On-site

$52.50 - $71.75/hr

... experience using Google's big data technology stack, including big query, big query storage, big query analytics and cloud data prep • Display behaviors in line with our Critical People ...

Vangard, Inc.

Data Engineer, Specialist

Malvern, PA

$112K - $134K/yr

Hands-on experience with cloud-based data platforms such as AWS (Redshift, Glue), Google Cloud (Big Query, Dataflow), or Azure (Synapse, Data Factory). Special Factors Sponsorship Vanguard is not ...

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 ...

PayPal

Sr Data Scientist

Chicago, IL

Google Big Query and Teradata (4 years) 9. Data visualization / Business Intelligence tools (Tableau, Amplitude, and Q-monitor) (4 years) 10. Database management: Big data and cloud (Hadoop, Hive ...

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 ...

Vangard, Inc.

Data Engineer, Specialist

Dallas, TX

$113K - $136K/yr

Hands-on experience with cloud-based data platforms such as AWS (Redshift, Glue), Google Cloud (Big Query, Dataflow), or Azure (Synapse, Data Factory). Special Factors Sponsorship Vanguard is not ...

Vanguard Group, Inc.

Data Engineer, Specialist

Malvern, PA · On-site

$112K - $134K/yr

Hands-on experience with cloud-based data platforms such as AWS (Redshift, Glue), Google Cloud (Big Query, Dataflow), or Azure (Synapse, Data Factory). Special Factors Sponsorship Vanguard is not ...

Intraedge

Google Cloud Platform Data Engineer

Austin, TX · Hybrid

$113K - $136K/yr

Job Title: Google Cloud Platform Data Engineer (Day 1 onsite Hybrid 3 days a week in office ... Hands-on expertise with application design and software development in Big Data (Spark(Pyspark ...

Intraedge

Google Cloud Platform Data Engineer

Phoenix, AZ · Hybrid

$113K - $136K/yr

Google Cloud Platform Data Engineer (Day 1 onsite - Hybrid 3 days a week in office) Location ... Hands-on expertise with application design and software development in Big Data (Spark(Pyspark ...

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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.
Data Engineer, Specialist

Data Engineer, Specialist

Vanguard Group

Malvern, PA • On-site

$112K - $134K/yr

Full-time

Posted 10 days ago

Vanguard rating

8.7

Company rating: 8.7 out of 10

Based on 60 frontline employees who took The Breakroom Quiz

14th of 138 rated financial services

Job description

Role Summary
The Data Engineer, Specialist is responsible for designing, developing and maintaining scalable data pipelines and infrastructure to support analytics and business intelligence initiatives. This role involves building robust ETL (Extract, Transform, Load) processes, managing databases and optimizing cloud-based data platforms to ensure efficient and seamless integration of data from multiple sources.
Responsibilites
1. Develop and maintain scalable ETL (Extract, Transform, Load) processes to efficiently extract data from diverse sources, transform it as required and load it into data warehouses or analytical systems.
2. Design and optimize database architectures and data pipelines to ensure high performance, availability and security while supporting structured and unstructured data.
3. Integrate data from multiple sources, including APIs, third-party services and on-prem/cloud databases to create unified and consistent datasets for analytics and reporting.
4. Collaborate with data scientists, analysts and business stakeholders to understand their data needs, develop data solutions and enable self-service analytics.
5. Develop automated workflows and data processing scripts using Python, Spark, SQL, or other relevant technologies to streamline data ingestion and transformation.
6. Optimize data storage and retrieval strategies in cloud-based data warehouses such as AWS Redshift, Google Big Query, or Azure Synapse, ensuring scalability and cost-efficiency.
7. Maintain and improve data quality by implementing validation frameworks, anomaly detection mechanisms and data cleansing processes.
8. Thoroughly tests code to ensure accuracy and alignment with its intended purpose. Reviews the final product with end users to confirm clarity and understanding, providing data analysis guidance as needed.
9. Offers tool and data support to business users and team members, ensuring seamless functionality and accessibility.
10. Conducts regression testing for new software releases, identifying issues and collaborating with vendors to resolve them and successfully deploy the software into production.
Qualifications and Skills
  • Minimum of three years data analytics, programming, database administration, or data management experience.
    Undergraduate degree or equivalent combination of training and experience.
  • Strong proficiency in SQL, Python, or Scala for data manipulation, automation and pipeline development.
  • Experience working with big data processing frameworks such as Apache Spark, Hadoop, or Kafka.
  • Hands-on experience with cloud-based data platforms such as AWS (Redshift, Glue), Google Cloud (Big Query, Dataflow), or Azure (Synapse, Data Factory).

Special Factors
Sponsorship
Vanguard is not offering visa sponsorship for this position.
About Vanguard
At Vanguard, we don't just have a mission-we're on a mission.
To work for the long-term financial wellbeing of our clients. To lead through product and services that transform our clients' lives. To learn and develop our skills as individuals and as a team. From Malvern to Melbourne, our mission drives us forward and inspires us to be our best.
How We Work
Vanguard has implemented a hybrid working model for the majority of our crew members, designed to capture the benefits of enhanced flexibility while enabling in-person learning, collaboration, and connection. We believe our mission-driven and highly collaborative culture is a critical enabler to support long-term client outcomes and enrich the employee experience.

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