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Data Engineer Google Jobs in Virginia (NOW HIRING)

Cornerstone Defense

Data Engineer

Herndon, VA · On-site

$117K - $141K/yr

... Google Cloud Professional Machine Learning Engineer, Azure AI Engineer, Azure Data Scientist, or Azure Solutions Architect 5 + years of experience in Data Science, Statistics, and Machine Learning 5+ ...

Booz Allen Hamilton, Inc.

Data Engineer

Arlington, VA · On-site

$62K - $141K/yr

Data Engineer The Opportunity: Ever-expanding technology like IoT, machine learning, and artificial ... Experience with a public cloud, including AWS, Microsoft Azure, or Google Cloud * Experience with ...

Booz Allen Hamilton

Data Engineer

Reston, VA · On-site

$77K - $176K/yr

R0236455 Data Engineer The Opportunity: Ever-expanding technology like IoT, machine learning, and ... Experience with a public cloud, including AWS, Micro sof t Azure, or Google Cloud * Experience with ...

Capital One

Lead Data Engineer

Mclean, VA · On-site

$115K - $139K/yr

Lead Data Engineer Do you love building and pioneering in the technology space? Do you enjoy ... At least 1 year experience with cloud computing (AWS, Microsoft Azure, Google Cloud) Preferred ...

Capital One

Lead Data Engineer

Richmond, VA

$113K - $136K/yr

Lead Data Engineer Do you love building and pioneering in the technology space? Do you enjoy ... At least 1 year experience with cloud computing (AWS, Microsoft Azure, Google Cloud) Preferred ...

Booz Allen Hamilton, Inc.

Data Engineer

Reston, VA · On-site

$77K - $176K/yr

As a data engineer, you know that organizing data can yield pivotal insights when it's gathered ... Experience with a public cloud, including AWS, Microsoft Azure, or Google Cloud * Experience with ...

Booz Allen Hamilton, Inc.

Data Engineer

Arlington, VA · On-site +1

$62K - $141K/yr

Share Data Engineer The Opportunity: Ever-expanding technology like IoT, machine learning, and ... Experience with a public cloud, including AWS, Microsoft Azure, or Google Cloud * Experience with ...

Capital One

Lead Data Engineer

Mclean, VA

$115K - $139K/yr

Lead Data Engineer Do you love building and pioneering in the technology space? Do you enjoy ... At least 1 year experience with cloud computing (AWS, Microsoft Azure, Google Cloud) Preferred ...

Capital One

Lead Data Engineer

Mclean, VA

$115K - $139K/yr

Lead Data Engineer Do you love building and pioneering in the technology space? Do you enjoy ... At least 1 year experience with cloud computing (AWS, Microsoft Azure, Google Cloud) Preferred ...

Capital One

Lead Data Engineer

Richmond, VA

$113K - $136K/yr

Lead Data Engineer Do you love building and pioneering in the technology space? Do you enjoy ... At least 1 year experience with cloud computing (AWS, Microsoft Azure, Google Cloud) Preferred ...

Booz Allen Hamilton

Data Engineer

Arlington, VA · On-site

$62K - $141K/yr

Data Engineer The Opportunity: Ever-expanding technology like IoT, machine learning, and artificial ... Experience with a public cloud, including AWS, Microsoft Azure, or Google Cloud * Experience with ...

Booz Allen Hamilton, Inc.

Data Engineer

Arlington, VA · On-site

$62K - $141K/yr

Data Engineer The Opportunity: Ever-expanding technology like IoT, machine learning, and artificial ... Experience with a public cloud, including AWS, Microsoft Azure, or Google Cloud * Experience with ...

Booz Allen Hamilton

Data Engineer

Fort Belvoir, VA

$77K - $176K/yr

Data Engineer The Opportunity: Ever-expanding technology like IoT, machine learning, and artificial ... Experience with a public cloud, including AWS, Microsoft Azure, or Google Cloud * Experience with ...

Booz Allen Hamilton

Data Engineer

Arlington, VA

$62K - $141K/yr

Data Engineer The Opportunity: Ever-expanding technology like IoT, machine learning, and artificial ... Experience with a public cloud, including AWS, Microsoft Azure, or Google Cloud * Experience with ...

Booz Allen Hamilton

Data Engineer

Reston, VA · On-site

$77K - $176K/yr

Data Engineer The Opportunity: Ever-expanding technology like IoT, machine learning, and artificial ... Experience with a public cloud, including AWS, Microsoft Azure, or Google Cloud * Experience with ...

Booz Allen Hamilton, Inc.

Data Engineer

Arlington, VA · On-site +1

$62K - $141K/yr

Share Data Engineer The Opportunity: Ever-expanding technology like IoT, machine learning, and ... Experience with a public cloud, including AWS, Microsoft Azure, or Google Cloud * Experience with ...

Booz Allen Hamilton

Data Engineer

Arlington, VA · On-site

$62K - $141K/yr

R0242942 Data Engineer The Opportunity: Ever-expanding technology like IoT, machine learning, and ... Experience with a public cloud, including AWS, Micro sof t Azure, or Google Cloud * Experience with ...

Capital One

Lead Data Engineer

Mclean, VA · On-site

$115K - $139K/yr

Lead Data Engineer Do you love building and pioneering in the technology space? Do you enjoy ... At least 1 year experience with cloud computing (AWS, Microsoft Azure, Google Cloud) Preferred ...

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Showing results 21-40

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 Jul 28, 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 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.

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.

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 July 2026, with employment types broken down into 73% Full Time, 14% Part Time, and 13% Contract. Highlights an 96% In-person, and 4% Hybrid job distribution, with an average salary of $128,604 per year, or $61.8 per hour.
Google Cloud Platform (GCP) Data Engineer

Google Cloud Platform (GCP) Data Engineer

Accenture Federal Services

Arlington, VA

$203K/yr

Full-time

Posted 7 days ago

Accenture Federal Services rating

8.4

Company rating: 8.4 out of 10

Based on 19 frontline employees who took The Breakroom Quiz

59th of 488 rated business services

Job description

At Accenture Federal Services, nothing matters more than helping the US federal government make the nation stronger and safer and life better for people. Our 13,000+ people are united in a shared purpose to pursue the limitless potential of technology and ingenuity for clients across defense, national security, public safety, civilian, and military health organizations.
Join Accenture Federal Services, a technology company within global Accenture. Recognized as a Glassdoor Top 100 Best Place to Work, we offer a collaborative and caring community where you feel like you belong and are empowered to grow, learn and thrive through hands-on experience, certifications, industry training and more.
Join us to drive positive, lasting change that moves missions and the government forward!

The work you'll do:

  • Design, develop, and maintain robust data pipelines and ETL processes that enable the seamless integration, cleansing, harmonization, and transformations in large-scale data processing systems and data lakes/data warehouses using GCP native services (BigQuery, Cloud Storage, Dataflow, Dataproc, Pub/Sub).
  • Implement performance tuning (partitioning, broadcast joins, caching, shuffle optimization).
  • Integrate data from multiple sources (databases, APIs, cloud storage, potentially streaming).
  • Migrate legacy data stores and ETL pipelines to modernized, cloud-native architectures on GCP.
  • Develop scalable batch and real-time streaming data pipelines using Python, SQL, and Apache Beam.
  • Implement data governance, data quality checks, and secure data access controls in alignment with strict federal security requirements.
  • Collaborate with data scientists, cloud infrastructure engineers, and mission stakeholders to optimize data models and query performance.
  • Design and Implement CI/CD Pipelines: Architect and build robust, automated CI/CD pipelines to streamline the build, test, and deployment processes from development through to production environments

Here's what you'll need:

  • 3 to 5+ years of experience in data engineering, data warehousing, or big data processing.
  • 2+ years of hands-on experience building data pipelines and/or data solutions on Google Cloud Platform (BigQuery, Dataflow, Cloud Composer).
  • Strong programming skills in Python and advanced proficiency in SQL.
  • Experience with ETL/ELT concepts and tools.

Bonus points if you have:

  • Google Cloud Professional Data Engineer Certification.
  • Experience with migrating legacy relational databases (e.g., Oracle, SQL Server) to cloud-native databases (e.g., Cloud SQL, AlloyDB, Spanner).
  • Familiarity with federal data strategies, RMF, and Impact Level 4/5 (IL4/IL5) security and compliance standards.

Security clearance:

  • Active Top Secret (TS) security clearance is required.

As required by local law, Accenture Federal Services provides reasonable ranges of compensation for hired roles based on labor costs in the states of California, Colorado, Hawaii, Illinois, Maine, Maryland, Massachusetts, Minnesota, New Jersey, New York, Vermont, Virginia, Washington, and the District of Columbia, and the city of Cleveland. The base pay range for this position in these locations is shown below. Compensation for roles at Accenture Federal Services varies depending on a wide array of factors, including but not limited to office location, role, skill set, and level of experience. Accenture Federal Services offers a wide variety of benefits. You can find more information on benefits here. We accept applications on an on-going basis and there is no fixed deadline to apply.

The pay range for the states of California, Colorado, Hawaii, Illinois, Maine, Maryland, Massachusetts, Minnesota, New Jersey, New York, Vermont, Virginia, Washington, and the District of Columbia, and the city of Cleveland is:
$100,200—$203,400 USD
What We Believe
As a company wholly dedicated to serving the US federal government, we bring together the best talent to help reinvent how federal agencies operate and deliver greater value for their mission and the American people. We have an unwavering commitment to creating a culture in which all our people are respected, feel a sense of belonging, and have equal opportunity. As a business imperative, every person at Accenture Federal Services has the responsibility to create and sustain a culture where everyone feels welcomed and included. This is grounded in our core values and our experience that hiring and developing great people who reflect different perspectives, experiences, and backgrounds is key to driving innovation and delivering the results that our clients and the country count on.
Equal Employment Opportunity Statement
We believe that no one should be discriminated against because of their differences. All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by federal, state, or local law. Our rich diversity makes us more innovative, more competitive, and more creative, which helps us better serve our clients and our communities. For details, view a copy of the Accenture Federal Services Equal Opportunity Policy Statement.
Accenture Federal Services is an Equal Employment Opportunity employer. Additionally, as an Affirmative Action Employer for Veterans and Individuals with Disabilities, Accenture Federal Services is committed to providing veteran employment opportunities to our service men and women.
Requesting An Accommodation
Accenture Federal Services is committed to providing equal employment opportunities for persons with disabilities or religious observances, including reasonable accommodation when needed. If you are hired by Accenture Federal Services and require accommodation to perform the essential functions of your role, you will be asked to participate in our reasonable accommodation process. Accommodations made to facilitate the recruiting process are not a guarantee of future or continued accommodations once hired.
If you are being considered for employment opportunities with Accenture Federal Services and need an accommodation for a disability or religious observance during the interview process or for the job you are interviewing for, please speak with your recruiter.
Other Employment Statements
Applicants for employment in the US must have work authorization that does not now or in the future require sponsorship of a visa for employment authorization in the United States.
Candidates who are currently employed by a client of Accenture Federal Services or an affiliated Accenture business may not be eligible for consideration.
Job candidates will not be obligated to disclose sealed or expunged records of conviction or arrest as part of the hiring process.
The Company will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. Additionally, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the Company's legal duty to furnish information.
California requires additional notifications for applicants and employees. If you are a California resident, live in or plan to work from Los Angeles County upon being hired for this position, please click here for additional important information.

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