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Gcp Data Engineer Jobs in Virginia (NOW HIRING)

Pwc

Data Engineer - Manager

Richmond, VA

... Architect, GCP Data Engineer Microsoft Azure Solutions Architect, Azure Data Engineer Associate, or Snowflake Core, Snowflake Databricks Data Engineer Associate] is a plus - Designing and ...

Pwc

Data Engineer - Senior Associate

Richmond, VA

$77K - $202K/yr

... GCP Data Engineer Microsoft Azure Solutions Architect, Azure Data Engineer Associate, Snowflake Core, Snowflake Databricks Data Engineer Associate] is a plus - Designing and implementing thorough ...

Pwc

Data Engineer - Senior Manager

Richmond, VA

$124K - $280K/yr

... GCP Data Engineer Microsoft Azure Solutions Architect, Azure Data Engineer Associate, Snowflake Core, Snowflake Architect, Databricks Data Engineer Associate] is a plus - Designing and implementing ...

VTG

Data Engineer

Mclean, VA

$115K - $139K/yr

Experience with cloud data platforms (AWS, Azure, or GCP) * Proficiency in programming languages such as Python, Scala, or Java * Experience with data warehousing solutions (e.g., Snowflake, Redshift ...

VTG

Data Engineer

Herndon, VA

$117K - $141K/yr

Experience with cloud data platforms (AWS, Azure, or GCP) * Proficiency in programming languages such as Python, Scala, or Java * Experience with data warehousing solutions (e.g., Snowflake, Redshift ...

VTG

Data Engineer

Chantilly, VA

$118K - $142K/yr

Experience with cloud data platforms (AWS, Azure, or GCP) * Proficiency in programming languages such as Python, Scala, or Java * Experience with data warehousing solutions (e.g., Snowflake, Redshift ...

RIVIDIUM

Data Engineer

Quantico, VA · On-site

$123K - $148K/yr

Experience with cloud platforms (AWS, Azure, GCP) and hybrid environments * Knowledge of DevOps/DataOps practices, including CI/CD for data pipelines * Familiarity with message queuing, stream ...

Altus Consulting Corp

Data Engineer

Herndon, VA

$117K - $141K/yr

Experience with Cloud platforms (AWS, Azure, GCP). * Familiarity with data warehousing and data ... Understanding of data engineering principles and best practices. Disclaimer: The information ...

Altus Consulting Corp

Data Engineer

Herndon, VA · On-site

$117K - $141K/yr

Experience with Cloud platforms (AWS, Azure, GCP). * Familiarity with data warehousing and data ... Understanding of data engineering principles and best practices. Disclaimer: The information ...

Altus Consulting Corp

Data Engineer

Herndon, VA · On-site

$117K - $141K/yr

Experience with Cloud platforms (AWS, Azure, GCP). * Familiarity with data warehousing and data ... Understanding of data engineering principles and best practices. Disclaimer: The information ...

RiVidium, Inc

Data Engineer

Quantico, VA · On-site

$121K - $145K/yr

Experience with cloud platforms (AWS, Azure, GCP) and hybrid environments * Knowledge of DevOps/DataOps practices, including CI/CD for data pipelines * Familiarity with message queuing, stream ...

ECS

Data Engineer

Ashburn, VA · On-site

$145K - $160K/yr

The Data Engineer supports the construction and day-to-day operation of Customs and Border ... GCP). * Working knowledge of Python and/or SQL, with familiarity with at least one data ...

CapTech Consulting

Data Engineer (AWS, Azure, GCP)

Reston, VA · On-site

$119K - $143K/yr

... Data Engineer - Cloud position include:  * Developing data pipelines and other data products using Amazon Web Services (AWS), Microsoft Azure, or Google Cloud Platform (GCP) * Advising clients on ...

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All JobsGcp Data Engineer JobsGcp Data Engineer Jobs in Virginia

Gcp Data Engineer information

See Virginia salary details

$44.1K

$128.6K

$176K

How much do gcp data engineer jobs pay per year?

As of Jul 26, 2026, the average yearly pay for gcp data engineer 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 is a GCP Data Engineer job?

A GCP Data Engineer is responsible for designing, building, and managing data processing systems on Google Cloud Platform. They work with tools like BigQuery, Dataflow, and Dataproc to process, store, and analyze large datasets efficiently. Their role involves optimizing data pipelines, ensuring data quality, and implementing security best practices. They also collaborate with data analysts and scientists to support business intelligence and machine learning initiatives.

What are the key skills and qualifications needed to thrive in the Gcp Data Engineer position, and why are they important?

To thrive as a GCP Data Engineer, you need strong skills in data engineering, programming (such as Python or Java), and experience with Google Cloud Platform services like BigQuery, Dataflow, and Cloud Storage, often backed by a relevant degree or certification. Familiarity with tools such as Terraform, Apache Beam, and GCP-specific certifications like Professional Data Engineer are highly valued. Analytical thinking, problem-solving abilities, and effective communication are standout soft skills for this role. These competencies are crucial for building scalable data solutions, ensuring data quality, and collaborating effectively within cross-functional teams.

Is GCP Data Engineer in demand?

GCP Data Engineers are in high demand due to the increasing adoption of Google Cloud Platform for data processing and analytics. Organizations seek professionals skilled in cloud services, data pipelines, and tools like BigQuery and Dataflow to manage large-scale data workloads, making this a promising role with strong job growth prospects.

What is the salary of GCP Data Engineer?

The average salary for a GCP Data Engineer typically ranges from $90,000 to $150,000 annually, depending on experience, location, and certifications such as Google Cloud Professional Data Engineer. Senior roles or those in high-demand areas may offer higher compensation. Skills in data pipeline development, cloud architecture, and SQL are often valued in salary considerations.

What types of projects or day-to-day tasks does a GCP Data Engineer typically work on?

As a GCP Data Engineer, you will design and implement data pipelines, process large datasets using GCP tools, and ensure data is available and accessible for analytics and business intelligence purposes. Your daily tasks might include creating ETL workflows, optimizing data warehouse performance, collaborating with data scientists, and troubleshooting data ingestion issues. Many teams operate in an agile environment, so you can expect regular interaction with product managers, analysts, and other engineers. This hands-on, collaborative nature of the role means you'll have opportunities to work on impactful projects that directly influence business decisions and gain exposure to cutting-edge cloud technologies.

Can I make 200K as a Data Engineer?

GCP Data Engineers with extensive experience, advanced skills in cloud platforms, and certifications such as Google Cloud Professional Data Engineer can potentially earn salaries around or above $200,000 annually, especially in high-cost-of-living areas or senior roles. Salary levels depend on factors like location, industry, company size, and individual expertise in tools like BigQuery, Dataflow, and machine learning. Entry-level or mid-tier Data Engineers typically earn less, with higher salaries reserved for those with specialized skills and years of experience.

What engineer makes $500,000 a year?

Highly experienced data engineers, including GCP Data Engineers with advanced skills in cloud platforms, big data tools, and certifications, can earn salaries approaching or exceeding $500,000 annually, especially in senior or specialized roles at large tech companies. Such compensation often includes bonuses, stock options, and other benefits.
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Gcp Data Engineer jobs near you
Infographic showing various Gcp Data Engineer job openings in Virginia as of July 2026, with employment types broken down into 1% As Needed, 78% Full Time, 12% Part Time, 2% Temporary, and 7% Contract. Highlights an 81% Physical, 3% Hybrid, and 16% Remote 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

$131K - $158K/yr

Other

Posted 5 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 487 rated business services

Job description

Job Description:

Accenture Federal Services is looking for a specialized Google Cloud Platform (GCP) Data Engineer to support strategic data and workload migrations. In this role, you will be responsible for designing and building robust, secure data architectures and pipelines on GCP. You will help modernize federal data landscapes, enabling advanced analytics and data-driven decision-making for critical mission objectives.

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 with data engineering, data warehousing, and/or big data processing.
  • 2+ years of hands-on experience building data pipelines and/or data solutions on Google Cloud Platform (BigQuery, Dataflow, and/or 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) or Interim TS security clearance is required.

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