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Gcp Data Engineer Jobs in Virginia (NOW HIRING)

GCP Data Engineer

Chantilly, VA · On-site

$117K - $140K/yr

Senior GCP Data Engineer Location:Remote Experience: 8+ years Our client is looking for an experienced GCP Data Engineer to build and support cloud-based data solutions for healthcare, pharmacy ...

New

GCP Data Architect

Chantilly, VA · On-site

$65.25 - $84/hr

GCP Data Architect Location: Remote Experience: 12+ years Our client is looking for a GCP Data ... Partner with security, governance, analytics, product, and engineering teams. * Support ...

New

... 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 ...

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 ...

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 ...

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 ...

Data Engineer

Quantico, VA

$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 ...

Data Engineer

Quantico, VA · On-site

$123K - $148K/yr

... Azure, GCP) and hybrid environments • Knowledge of DevOps/DataOps practices, including CI/CD for data pipelines • Familiarity with message queuing, stream processing, and real-time data ...

Data Engineer

Chantilly, VA

$117K - $140K/yr

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

Data Engineer

Herndon, VA · On-site

$117K - $141K/yr

Altus Consulting is seeking a skilled Data Engineer to join our dynamic team. You will be ... Experience with Cloud platforms (AWS, Azure, GCP).Familiarity with data warehousing and data lake ...

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 ...

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Showing results 1-20

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 24, 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.

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.

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 are highly sought after by organizations seeking scalable data solutions.

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 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 1% As Needed, 78% Full Time, 19% Part Time, and 2% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $128,604 per year, or $61.8 per hour.

GCP Data Engineer

Interon IT Solutions

Chantilly, VA • On-site

$117K - $140K/yr

Contractor

Posted 3 days ago

New


Job description

#W2 role

Role: Senior GCP Data Engineer
Location:Remote
Experience: 8+ years

Job Description

Our client is looking for an experienced GCP Data Engineer to build and support cloud-based data solutions for healthcare, pharmacy, claims, member, and operational data.

This is a hands-on development role. The engineer will work with architects, analysts, product owners, and other engineering teams to build reliable batch and real-time data pipelines on Google Cloud Platform.

Responsibilities
  • Design, develop, and maintain scalable data pipelines using GCP services.

  • Build batch and streaming solutions using Dataflow, Pub/Sub, BigQuery, Cloud Storage, Dataproc, and Cloud Composer.

  • Develop data-processing applications using Python, SQL, Spark, and Apache Beam.

  • Create BigQuery tables, views, stored procedures, and data models.

  • Apply partitioning and clustering strategies to improve BigQuery performance and cost.

  • Ingest and transform healthcare, pharmacy, claims, member, provider, and operational data.

  • Build data validation, reconciliation, error-handling, and monitoring processes.

  • Troubleshoot pipeline failures, data-quality issues, and performance problems.

  • Support data migration from legacy and on-premises platforms to GCP.

  • Protect PHI, PII, and other sensitive information using appropriate security and access controls.

  • Develop automated build and deployment pipelines using Git, Jenkins or GitLab CI/CD, and Terraform.

  • Participate in code reviews, production releases, and operational support.

Required Qualifications
  • 8+ years of data engineering or software development experience.

  • 4+ years of hands-on experience with GCP data services.

  • Strong experience with BigQuery, Dataflow, Pub/Sub, Cloud Storage, Dataproc, and Cloud Composer.

  • Advanced Python and SQL development skills.

  • Experience with Spark, Apache Beam, and Airflow.

  • Strong understanding of ETL/ELT, data warehousing, data lakes, and distributed data processing.

  • Experience building both batch and streaming data pipelines.

  • Experience with Docker, Kubernetes, Terraform, Git, and CI/CD.

  • Strong troubleshooting and communication skills.

Preferred Qualifications
  • Healthcare, pharmacy, PBM, claims, or health insurance experience.

  • Understanding of HIPAA, PHI, and PII requirements.

  • Experience with dbt, Dataplex, Data Catalog, Cloud Run, Cloud Functions, or Looker.

  • Google Professional Data Engineer certification.