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Gcp Data Engineer Jobs in Virginia (NOW HIRING)

Enterprise Data Engineer

Herndon, VA · On-site

$117K - $141K/yr

BT-334 - Enterprise Data Engineer Skill Level: Mid-SME Herndon, VA (fully on-site, no remote option ... Experience with cloud platforms (e.g., AWS, Azure, GCP) and big data technologies (e.g., Apache ...

Enterprise Data Engineer

Chantilly, VA

$117K - $140K/yr

Preferred Skills: · Bachelor's degree in Computer Science , Data Engineering , or a related field. · Hands-on experience with Palantir . · Experience with cloud platforms (e.g., AWS, Azure, GCP ...

Enterprise Data Engineer

Chantilly, VA · On-site

$117K - $140K/yr

We embed skilled Data Engineers, Data Scientists, and ETL Developers directly into intelligence ... Experience with cloud platforms(e.g., AWS, Azure, GCP) and big data technologies (e.g., Apache ...

Data Engineer

Richmond, VA · On-site

$100K - $120K/yr

The Senior Data Engineer drives and implements data engineering best practices, ensures high ... Cloud platform experience (AWS, Azure, or GCP). * Prior experience influencing enterprise data ...

Data Engineer

Richmond, VA · On-site +1

$100K - $120K/yr

The Senior Data Engineer drives and implements data engineering best practices, ensures high ... Cloud platform experience (AWS, Azure, or GCP). * Prior experience influencing enterprise data ...

Data Engineer

Harrisonburg, VA · On-site

$106K - $128K/yr

Must-Have Skills 3+ years of data engineering experience -- pipelines, ETL, data modeling in ... GCP) Solid grasp of ML storage formats: Parquet, HDF5, JSON Lines

Data Engineer

Richmond, VA · On-site

$113K - $136K/yr

Must-Have Skills 3+ years of data engineering experience -- pipelines, ETL, data modeling in ... GCP) Solid grasp of ML storage formats: Parquet, HDF5, JSON Lines

Data Engineer

Chesapeake, VA · On-site

$99K - $120K/yr

Must-Have Skills 3+ years of data engineering experience -- pipelines, ETL, data modeling in ... GCP) Solid grasp of ML storage formats: Parquet, HDF5, JSON Lines

Data Engineer

Annandale, VA · On-site

$113K - $136K/yr

Must-Have Skills 3+ years of data engineering experience -- pipelines, ETL, data modeling in ... GCP) Solid grasp of ML storage formats: Parquet, HDF5, JSON Lines

Data Engineer

Lynchburg, VA · On-site

$111K - $133K/yr

Must-Have Skills 3+ years of data engineering experience -- pipelines, ETL, data modeling in ... GCP) Solid grasp of ML storage formats: Parquet, HDF5, JSON Lines

Data Engineer

Williamsburg, VA · On-site

$104K - $125K/yr

Must-Have Skills 3+ years of data engineering experience -- pipelines, ETL, data modeling in ... GCP) Solid grasp of ML storage formats: Parquet, HDF5, JSON Lines

Data Engineer

Virginia Beach, VA · On-site

$101K - $121K/yr

Must-Have Skills 3+ years of data engineering experience -- pipelines, ETL, data modeling in ... GCP) Solid grasp of ML storage formats: Parquet, HDF5, JSON Lines

Data Engineer

Mclean, VA · On-site

$110K - $160K/yr

We are looking for seasoned Data Engineer to work with our team and our clients to develop ... Alternatively Azure, GCP). * Key must have skill sets - Python, AWS * Support an Agile software ...

Data Engineer

Mclean, VA · On-site

$110K - $160K/yr

We are looking for seasoned Data Engineer t o work with our team and our clients to develop ... Alternatively Azure, GCP). * Key must have skill sets - Python, AWS * Support an Agile software ...

Enterprise Data Engineer

Chantilly, VA · On-site

$117K - $140K/yr

We are seeking skilled and detail-oriented Data Engineers with expertise in utilizing Python, SQL ... Experience with cloud platforms (e.g., AWS, Azure, GCP) and big data technologies (e.g., Apache ...

Data Engineer

Hampton, VA · On-site

$96K - $115K/yr

Must-Have Skills 3+ years of data engineering experience -- pipelines, ETL, data modeling in ... GCP) Solid grasp of ML storage formats: Parquet, HDF5, JSON Lines

Enterprise Data Engineer

Chantilly, VA · On-site +1

$117K - $140K/yr

We are seeking skilled and detail-oriented Data Engineers with expertise in utilizing Python, SQL ... Experience with cloud platforms (e.g., AWS, Azure, GCP) and big data technologies (e.g., Apache ...

Data Engineer

Yorktown, VA

$101K - $121K/yr

As Data Engineer you will work on a team consisting of Data and Cloud Architects, Engineers, and ... Experience with cloud data services (e.g., AWS, Azure, GCP) * Experience with Cloud Relational ...

Showing results 41-60

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 Aug 10, 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?

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 as a GCP Data Engineer?

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. Skills in cloud services, data pipelines, and tools like BigQuery and Dataflow enhance employability in this growing field.

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.

What are the most commonly searched types of Gcp Data Engineer jobs in Virginia? The most popular types of Gcp Data Engineer jobs in Virginia are:
What are popular job titles related to Gcp Data Engineer jobs in Virginia? For Gcp Data Engineer jobs in Virginia, the most frequently searched job titles are:
What job categories do people searching Gcp Data Engineer jobs in Virginia look for? The top searched job categories for Gcp Data Engineer jobs in Virginia are:
What cities in Virginia are hiring for Gcp Data Engineer jobs? Cities in Virginia with the most Gcp Data Engineer job openings:
Infographic showing various Gcp Data Engineer job openings in Virginia as of August 2026, with employment types broken down into 53% Full Time, and 47% Contract. Highlights an 91% In-person, and 9% Remote job distribution, with an average salary of $128,604 per year, or $61.8 per hour.

Enterprise Data Engineer

Bespoke Technologies, Inc

Herndon, VA • On-site

$117K - $141K/yr

Full-time

Re-posted 11 days ago


Job description

BT-334 - Enterprise Data Engineer
Skill Level: Mid-SME
Herndon, VA (fully on-site, no remote option)
**Please do NOT apply if you do not have an active Poly clearance. Those without a Poly will not be considered.**
Bespoke Technologies is seeking a skilled and detail-oriented Data Engineer with expertise in utilizing Python, SQL, and Palantir (or other ETL platforms) to extract, transform, and load structured and unstructured data from various sources. The ideal candidate will have a strong background in data engineering and a deep understanding of ETL processes.
Key Responsibilities:
  • Write robust and efficient Python and SQL scripts to automate data processing tasks.
  • Integrate data from diverse sources, such as databases, APIs, and flat files, into centralized systems.
  • Implement data transformations, enrichment, and modeling workflows to ensure data quality and usability.
  • Ensure data structures are optimized for performance and scalability.
  • Provide technical guidance and support to ensure effective use of Palantir tools across teams.
  • Implement data quality checks, validation, and monitoring mechanisms to ensure the accuracy and reliability of datasets.
  • Integrate data from diverse sources, such as databases, APIs, and flat files, into centralized systems.
  • Ensure proper data transformation and curation to meet business and analytics requirements.
  • Maintain and improve data quality, consistency, and accuracy through validation and cleansing processes.

Required Skills:
  • 3+ years of experience in data engineering.
  • Strong proficiency in scripting and programming with Python.
  • Expertise in working with SQL for data querying, transformation, and optimization.
  • Experience with data integration from diverse sources such as APIs, relational databases, and file systems.
  • Strong analytical and problem-solving skills with attention to detail.
  • Excellent communication and teamwork skills to collaborate with technical and business teams.

Preferred Skills:
  • Bachelor's degree in Computer Science, Data Engineering, or a related field.
  • Hands-on experience with Palantir.
  • Experience with cloud platforms (e.g., AWS, Azure, GCP) and big data technologies (e.g., Apache Spark, Hadoop).
  • Familiarity with data orchestration tools such as Apache Airflow, Prefect, or similar.