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Data Engineer Google Jobs in Virginia (NOW HIRING)

Deloitte

Google Data Engineering Consultant

Rosslyn, VA · On-site

$130K - $156K/yr

As a Data Engineer II on the Government & Public Services team, you will be responsible for: * Support the development, testing, and deployment of applications and data pipelines on Google Cloud ...

Pwc

Data Engineer - Senior Manager

Richmond, VA

$124K - $280K/yr

... Google Professional Cloud Architect, GCP Data Engineer Microsoft Azure Solutions Architect, Azure Data Engineer Associate, Snowflake Core, Snowflake Architect, Databricks Data Engineer Associate] is ...

Pwc

Data Engineer - Senior Associate

Richmond, VA

$77K - $202K/yr

... Google Professional Cloud Architect, GCP Data Engineer Microsoft Azure Solutions Architect, Azure Data Engineer Associate, Snowflake Core, Snowflake Databricks Data Engineer Associate] is a plus ...

RecruitTalent LLC.

Data Scientist

Fredericksburg, VA · On-site

$60 - $70/hr

Google Professional Data Engineer or AWS Certified Data Analytics - Specialty * Certified Analytics Professional (CAP) - INFORMS * Lean Six Sigma Green Belt (for data-driven process improvement)

Pwc

Data Engineer - Manager

Richmond, VA

... Google Professional Cloud Architect, GCP Data Engineer Microsoft Azure Solutions Architect, Azure Data Engineer Associate, or Snowflake Core, Snowflake Databricks Data Engineer Associate] is a plus ...

Accenture Federal Services

Data Engineer

Arlington, VA · On-site

$131K - $158K/yr

AWS Glue, Google Cloud Dataflow, Azure Data Factory) • Experience with Cloud data warehousing ... open-source data engineering tools such as ElasticSearch and NiFi • Experience with Docker ...

Deloitte

Google Data Engineering Consultant

Arlington, VA · On-site

$131K - $158K/yr

The Data Engineer II will help design, develop, test, and deploy data pipelines, platform ... Support the development, testing, and deployment of applications and data pipelines on Google Cloud ...

SZNS Solutions LLC

Data Engineer

Reston, VA

$119K - $143K/yr

Founded by ex-Googlers with engineers from Google, Amazon, and Capital One, SZNS differentiates itself particularly in AI, data engineering, blockchain, and cloud-native software application ...

SZNS Solutions LLC

Data Engineer

Reston, VA · On-site

$119K - $143K/yr

Founded by ex-Googlers with engineers from Google, Amazon, and Capital One, SZNS differentiates itself particularly in AI, data engineering, blockchain, and cloud-native software application ...

SZNS Solutions LLC

Data Engineer

Reston, VA · On-site

$119K - $143K/yr

Founded by ex-Googlers with engineers from Google, Amazon, and Capital One, SZNS differentiates itself particularly in AI, data engineering, blockchain, and cloud-native software application ...

Accenture Federal Services

Cleared Data Engineer

Arlington, VA · On-site

$131K - $158K/yr

The Cleared Data Engineer will design and maintain data pipelines, integrate diverse data sources ... AWS Glue, Google Cloud Dataflow, Azure Data Factory) • Experience with Cloud data warehousing ...

Accenture Federal Services

Data Engineer

Arlington, VA · On-site

$93K - $176K/yr

AWS Glue, Google Cloud Dataflow, Azure Data Factory) * Experience with Cloud data warehousing ... Data engineering certification such as Palantir Foundry Data Engineer, Azure Data Engineer ...

Nwis

Data Engineer

Sterling, VA

$113K - $136K/yr

Familiarity with cloud computing platforms such as AWS, Azure, or Google Cloud Platform. * Programming Languages: Proficiency in Python or Java for data manipulation and scripting. * Data Warehousing:

Nightwing

Data Engineer

Sterling, VA · On-site

$113K - $136K/yr

Familiarity with cloud computing platforms such as AWS, Azure, or Google Cloud Platform. • Programming Languages: Proficiency in Python or Java for data manipulation and scripting. • Data ...

Nightwing

Data Engineer

Sterling, VA · On-site

$113K - $136K/yr

Familiarity with cloud computing platforms such as AWS, Azure, or Google Cloud Platform. * Programming Languages: Proficiency in Python or Java for data manipulation and scripting. * Data Warehousing:

Booz Allen Hamilton

Data Engineer

Mclean, VA · On-site

$116K - $139K/yr

Booz Allen Hamilton is a leading consulting firm seeking a Data Engineer to help clients leverage ... Azure, or Google Cloud • 5+ years of experience with Distributed data or computing tools ...

Booz Allen Hamilton

Data Engineer

Fort Belvoir, VA · On-site

$129K - $155K/yr

They are seeking an experienced Data Engineer to help clients organize and analyze structured and ... or Google Cloud • Experience with distributed data or computing tools, including Spark ...

Booz Allen Hamilton

Data Engineer

Reston, VA · On-site

$119K - $143K/yr

They are seeking an experienced Data Engineer to help clients organize and analyze structured and ... or Google Cloud • Experience with distributed data or computing tools, including Spark ...

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All JobsData Engineer Google JobsData Engineer Google Jobs in Virginia

Data Engineer Google information

See Virginia salary details

$44.1K

$128.6K

$176K

How much do data engineer google jobs pay per year?

As of Jun 12, 2026, the average yearly pay for data engineer google in Virginia is $128,604.00, according to ZipRecruiter salary data. Most workers in this role earn between $113,500.00 and $136,300.00 per year, depending on experience, location, and employer.

What does a Data Engineer at Google do?

A Data Engineer at Google designs, builds, and manages systems that collect, store, and process large volumes of data. Their responsibilities include creating data pipelines, ensuring data quality, and optimizing data architectures to support analytics and machine learning initiatives. They work closely with data scientists, analysts, and other engineers to ensure that data is accessible, reliable, and efficiently processed for various business needs.

How do Data Engineers at Google typically collaborate with data scientists and software engineers?

At Google, Data Engineers work closely with both data scientists and software engineers to build robust, scalable data pipelines and infrastructure. Data Engineers are responsible for ensuring that data is clean, accessible, and optimized for analytics, often translating business needs into technical solutions. Regular collaboration happens through cross-functional meetings, design sessions, and code reviews, where Data Engineers provide expertise in data modeling, ETL processes, and system optimization. This collaborative environment promotes innovation, knowledge sharing, and the successful deployment of data-driven products.

What engineers make $500,000?

Senior data engineers, especially those with extensive experience, advanced skills in cloud platforms, and expertise in big data tools, can earn $500,000 or more annually. Compensation often includes base salary, bonuses, and stock options, particularly at large tech companies or in high-cost-of-living areas.

What are the key skills and qualifications needed to thrive as a Data Engineer at Google, and why are they important?

To thrive as a Data Engineer at Google, you need strong programming skills (especially in Python, Java, or Scala), expertise in data modeling, and a solid understanding of distributed systems, typically supported by a degree in computer science or a related field. Familiarity with Google Cloud Platform (GCP), BigQuery, SQL, Apache Spark, and relevant data engineering certifications is highly valued. Analytical thinking, effective communication, and problem-solving abilities are crucial soft skills for collaborating across teams and translating business requirements into technical solutions. These skills ensure the reliable design, optimization, and scalability of data systems critical to Google's innovation and decision-making.

Does Google hire data engineers?

Yes, Google hires data engineers to develop and maintain data pipelines, manage large-scale data systems, and support data-driven decision-making. Candidates typically need strong skills in SQL, Python, and cloud platforms like Google Cloud, along with relevant experience in data architecture and engineering. Google regularly recruits data engineers across various teams and locations.

What is the difference between Data Engineer Google vs Data Engineer Amazon?

AspectData Engineer GoogleData Engineer Amazon
Required CredentialsBachelor's in CS or related, Google Cloud certifications often preferredBachelor's in CS or related, AWS certifications common
Work EnvironmentGoogle Cloud Platform, large-scale data systems, collaborative teamsAWS cloud services, large data pipelines, cross-functional teams
Employer & Industry UsageGoogle, tech and internet servicesAmazon, e-commerce and cloud services
Search & Comparison IntentHigh overlap in cloud data engineering rolesSimilar roles in cloud data engineering

Both Data Engineer Google and Data Engineer Amazon roles require strong data processing skills, cloud platform knowledge, and relevant certifications. While Google emphasizes Google Cloud Platform expertise, Amazon focuses on AWS. Both roles are integral to their respective companies' data infrastructure, with similar work environments and industry usage, making them common comparison points for data engineering careers in cloud environments.

How much does a Data Engineer at Google make?

A Data Engineer at Google typically earns a base salary ranging from $100,000 to $150,000 annually, with total compensation often including bonuses and stock options that can significantly increase overall earnings. Compensation varies based on experience, location, and level within the company, and the role often requires proficiency in tools like SQL, Python, and cloud platforms such as Google Cloud Platform.

Is L7 a good level at Google?

At Google, L7 is considered a senior leadership level, typically involving significant technical expertise and management responsibilities. It is a high-level position that often requires extensive experience, strong problem-solving skills, and proficiency with tools like BigQuery and Dataflow. L7 is generally regarded as a prestigious and well-compensated level within the company.
What are popular job titles related to Data Engineer Google jobs in Virginia? For Data Engineer Google jobs in Virginia, the most frequently searched job titles are:
What job categories do people searching Data Engineer Google jobs in Virginia look for? The top searched job categories for Data Engineer Google jobs in Virginia are:
Data Engineer Google jobs near you
Infographic showing various Data Engineer Google job openings in Virginia as of June 2026, with employment types broken down into 1% As Needed, 82% Full Time, 14% Part Time, and 3% Contract. Highlights an 87% Physical, 5% Hybrid, and 8% Remote job distribution, with an average salary of $128,604 per year, or $61.8 per hour.
Google Data Engineering Consultant

Google Data Engineering Consultant

Deloitte

Rosslyn, VA • On-site

$130K - $156K/yr

Other

Posted 14 days ago

Deloitte rating

8.1

Company rating: 8.1 out of 10

Based on 86 frontline employees who took The Breakroom Quiz

58th of 138 rated financial services

Job description

Join Deloitte's AI & Engineering team to help clients modernize technology platforms, accelerate innovation, and drive meaningful business outcomes. In this role, you will work alongside multidisciplinary professionals to design and deliver modern data solutions that support enterprise transformation. You will help build scalable platforms, analytics products, and data pipelines that enable mission-focused results and measurable client impact.

Work you'll do

Build and support cloud-based data and artificial intelligence solutions on Google Cloud Platform (GCP) for mission-driven client environments. The Data Engineer II will help design, develop, test, and deploy data pipelines, platform components, and AI-enabled solutions that are scalable, secure, and reliable. This role works with engineers, data scientists, and business stakeholders to translate requirements into technical solutions and support ongoing platform performance and optimization.

As a Data Engineer II on the Government & Public Services team, you will be responsible for:

  • Support the development, testing, and deployment of applications and data pipelines on Google Cloud Platform
  • Configure and maintain GCP services including BigQuery, Cloud Storage, Vertex AI, Cloud Run, and Compute Engine
  • Assist with data preparation, feature engineering, model testing, and model evaluation activities
  • Monitor solution performance, troubleshoot production issues, and support optimization efforts
  • Document technical designs, implementation steps, and operational processes while collaborating with cross-functional teams to translate business requirements into technical solutions

A successful candidate would possess these skills:

  • Ability to work independently and collaborate as part of a team
  • Effective written and verbal communication skills
  • Meticulous attention to detail and quality of work product
  • Ability to build and sustain professional relationships
  • Ability to lead projects or workstreams
  • Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment
  • Strong interpersonal skills and professional demeanor
  • Ability to meet deadlines
  • Ability to provide clear guidance to others

The team

Deloitte's Government & Public Services (GPS) practice - our people, ideas, technology and outcomes - is designed for impact. Serving federal, state, & local government clients as well as public higher education institutions, our team of professionals brings fresh perspective to help clients anticipate disruption, reimagine the possible, and fulfill their mission promise.

Our AI & Data offering provides a full spectrum of solutions for designing, developing, and operating cutting-edge Data and AI platforms, products, insights, and services. Our offerings help clients innovate, enhance and operate their data, AI, and analytics capabilities, ensuring they can mature and scale effectively.

Qualifications

Required:

  • Bachelor's degree in Computer Science, Data Science, Information Systems, Engineering, or a related field
  • 2+ years of experience in cloud engineering, software engineering, data engineering, or machine learning engineering
  • 2+ years of experience using Python, Java, or SQL
  • 2+ years of experience with Google Cloud Platform services such as BigQuery, Cloud Storage, Vertex AI, Cloud Run, or Compute Engine
  • 2+ years of experience with data pipelines, extract transform load processes, or structured data processing
  • Ability to obtain and maintain a government security clearance
  • Ability to travel 10%, on average, based on the work you do and the clients and industries/sectors you serve.
  • Must be legally authorized to work in the United States without the need for employer sponsorship, now or at any time in the future.

Preferred:

  • Google certifications preferred
  • Experience with Vertex AI, application programming interfaces, or machine learning operations concepts
  • Experience with Git
  • Experience with Docker
  • Google Cloud certification such as Associate Cloud Engineer
  • Experience gained through internships, academic projects, or coursework using Google Cloud Platform
Qualifications:

Join Deloitte's AI & Engineering team to help clients modernize technology platforms, accelerate innovation, and drive meaningful business outcomes. In this role, you will work alongside multidisciplinary professionals to design and deliver modern data solutions that support enterprise transformation. You will help build scalable platforms, analytics products, and data pipelines that enable mission-focused results and measurable client impact.

Work you'll do

Build and support cloud-based data and artificial intelligence solutions on Google Cloud Platform (GCP) for mission-driven client environments. The Data Engineer II will help design, develop, test, and deploy data pipelines, platform components, and AI-enabled solutions that are scalable, secure, and reliable. This role works with engineers, data scientists, and business stakeholders to translate requirements into technical solutions and support ongoing platform performance and optimization.

As a Data Engineer II on the Government & Public Services team, you will be responsible for:

  • Support the development, testing, and deployment of applications and data pipelines on Google Cloud Platform
  • Configure and maintain GCP services including BigQuery, Cloud Storage, Vertex AI, Cloud Run, and Compute Engine
  • Assist with data preparation, feature engineering, model testing, and model evaluation activities
  • Monitor solution performance, troubleshoot production issues, and support optimization efforts
  • Document technical designs, implementation steps, and operational processes while collaborating with cross-functional teams to translate business requirements into technical solutions

A successful candidate would possess these skills:

  • Ability to work independently and collaborate as part of a team
  • Effective written and verbal communication skills
  • Meticulous attention to detail and quality of work product
  • Ability to build and sustain professional relationships
  • Ability to lead projects or workstreams
  • Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment
  • Strong interpersonal skills and professional demeanor
  • Ability to meet deadlines
  • Ability to provide clear guidance to others

The team

Deloitte's Government & Public Services (GPS) practice - our people, ideas, technology and outcomes - is designed for impact. Serving federal, state, & local government clients as well as public higher education institutions, our team of professionals brings fresh perspective to help clients anticipate disruption, reimagine the possible, and fulfill their mission promise.

Our AI & Data offering provides a full spectrum of solutions for designing, developing, and operating cutting-edge Data and AI platforms, products, insights, and services. Our offerings help clients innovate, enhance and operate their data, AI, and analytics capabilities, ensuring they can mature and scale effectively.

Qualifications

Required:

  • Bachelor's degree in Computer Science, Data Science, Information Systems, Engineering, or a related field
  • 2+ years of experience in cloud engineering, software engineering, data engineering, or machine learning engineering
  • 2+ years of experience using Python, Java, or SQL
  • 2+ years of experience with Google Cloud Platform services such as BigQuery, Cloud Storage, Vertex AI, Cloud Run, or Compute Engine
  • 2+ years of experience with data pipelines, extract transform load processes, or structured data processing
  • Ability to obtain and maintain a government security clearance
  • Ability to travel 10%, on average, based on the work you do and the clients and industries/sectors you serve.
  • Must be legally authorized to work in the United States without the need for employer sponsorship, now or at any time in the future.

Preferred:

  • Google certifications preferred
  • Experience with Vertex AI, application programming interfaces, or machine learning operations concepts
  • Experience with Git
  • Experience with Docker
  • Google Cloud certification such as Associate Cloud Engineer
  • Experience gained through internships, academic projects, or coursework using Google Cloud Platform
Education:Bachelor's DegreeEmployment Type:

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