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Gcp Data Engineer Jobs in Virginia (NOW HIRING)

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 ...

Data Engineer

Chantilly, VA · On-site

$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 (AWS, Azure, GCP)

Richmond, VA · On-site

$113K - $136K/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 ...

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 ...

DATA ENGINEER

Mclean, VA · On-site

$116K - $139K/yr

DATA ENGINEER Location: Mclean,VA or Plano, TX Duration: 12+ Months Visa: USC, GC, H1B and EAD ... such as AWS, Azure, or GCP. * 3+ years of experience with pipeline scheduling and workflow ...

Data Engineer

Vienna, VA · On-site

$90K - $170K/yr

Job Listing: Data Engineer Location: Tysons Corner, VA (Off-Site/Hybrid) Position: Full-Time, ... Familiarity with cloud-based technologies (AWS, Azure, GCP) is a plus.Excellent problem-solving ...

Data Engineer

Reston, VA

$119K - $143K/yr

... The Data Engineer is the bedrock of intelligence operations, responsible for turning raw ... Deep expertise in the Google Cloud Platform (GCP) ecosystem, specifically building streaming and ...

Data Engineer

Reston, VA · On-site

$119K - $143K/yr

... The Data Engineer is the bedrock of intelligence operations, responsible for turning raw ... Deep expertise in the Google Cloud Platform (GCP) ecosystem, specifically building streaming and ...

Data Engineer

Reston, VA · On-site

$119K - $143K/yr

... The Data Engineer is the bedrock of intelligence operations, responsible for turning raw ... Deep expertise in the Google Cloud Platform (GCP) ecosystem, specifically building streaming and ...

Data Engineer

Alexandria, VA · On-site

$122K - $147K/yr

Position Overview: We are seeking a skilled Data Engineer to join our team, supporting the ... Knowledge of cloud-based data solutions (e.g., AWS, Azure, GCP)

Showing results 21-40

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.

Data Engineer (AWS, Azure, GCP)

CapTech Consulting

Reston, VA

$119K - $143K/yr

Full-time

Medical, Retirement, PTO

Re-posted 5 days ago


Job description

Company Description

CapTech is an award-winning consulting firm that collaborates with clients to achieve what’s possible through the power of technology. At CapTech, we’re passionate about the work we do and the results we achieve for our clients. From the outset, our founders shared a collective passion to create a consultancy centered on strong relationships that would stand the test of time. Today we work alongside clients that include Fortune 100 companies, mid-sized enterprises, and government agencies, a list that spans across the country.

Job Description

CapTech Data Engineering consultants enable clients to build and maintain advanced data systems that bring together data from disparate sources in order to enable decision-makers. We build pipelines and prepare data for use by data scientists, data analysts, and other data systems. We love solving problems and providing creative solutions for our clients. Cloud Data Engineers leverage the client’s cloud infrastructure to deliver this value today and to scale for the future. We enjoy a collaborative environment and have many opportunities to learn from and share knowledge with other developers, architects, and our clients. 

Specific responsibilities for the 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 specific technologies and methodologies for utilizing cloud resources to efficiently ingest and process data quickly 
  • Utilizing your skills in engineering best practices to solve complex data problems 
  • Collaborating with end users, development staff, and business analysts to ensure that prospective data architecture plans maximize the value of client data across the organization.  
  • Articulating architectural differences between solution methods and the advantages/disadvantages of each 
Qualifications

Typical experience for successful candidates includes:    

  • Experience delivering solutions on a major cloud platform 
  • Ability to think strategically and relate architectural decisions/recommendations to business needs and client culture 
  • Experience in the design and implementation of data architecture solutions 
  • A wide range of production database experience, usually including substantial SQL expertise, database administration, and scripting data pipelines 
  • Ability to assess and utilize traditional and modern architectural components required based on business needs.   
  • A demonstrable ability to deliver production data pipelines and other data products. This could be hands on experience, degree, certification, bootcamp, or other learning. 

Skills: 

Successful candidates usually have demonstrable experience with technologies in some of these categories:  

  • Languages: SQL, Python, Java, R, C# / C++ / C 
  • Database: SQL Server, PostgreSQL, Snowflake, Redshift, Aurora, Presto, BigQuery, Oracle 
  • DevOps: git, docker, subversion, Kubernetes, Jenkins 
  • Additional Technologies: Spark, Databricks, Kafka, Kinesis, Hadoop, Lambda, EMR 
  • Popular Certifications: AWS Cloud Practitioner, Microsoft Azure Data Fundamentals, Google Associate Cloud Engineer

Additional Information

We want everyone at CapTech to be able to envision a lasting and rewarding career here, which is why we offer a variety of career paths based on your skills and passions.  You decide where and how you want to develop, and we help get you there with customizable career progression and a comprehensive benefits package to support you along the way.  Alongside our suite of traditional benefits encompassing generous PTO, health coverage, disability insurance, paid family leave and more, we’ve launched extended benefits to help meet our employees’ needs. 

  • CapTech is committed to providing a flexible work environment and helping our employees achieve a work-life balance that suits their individual needs. Employees must be available to work onsite in a client location or a CapTech office as requested. We allow CapTech employees to work remotely when compatible with CapTech and client needs. 
  • Learning & Development – Programs offering certification and tuition support, digital on-demand learning courses, mentorship, and skill development paths
  • Modern Health –A mental health and well-being platform that provides 1:1 care, group support sessions, and self-serve resources to support employees and their families through life’s ups and downs
  • Carrot Fertility –Inclusive fertility and family-forming coverage for all paths to parenthood – including adoption, surrogacy, fertility treatments, pregnancy, and more – and opportunities for employer-sponsored funds to help pay for care
  • Fringe –A company paid stipend program for personalized lifestyle benefits, allowing employees to choose benefits that matter most to them – ranging from vendors like Netflix, Spotify, and GrubHub to services like student loan repayment, travel, fitness, and more
  • Employee Resource Groups – Employee-led committees that embrace and incorporate diversity and inclusion into our day-to-day operations
  • Philanthropic Partnerships – Opportunities to engage in partnerships and pro-bono projects that support our communities. 
  • 401(k) Matching – Generous matching and no vesting period to help you continue to build financial wellness

CapTech is an equal opportunity employer committed to fostering a culture of equality, inclusion and fairness — each foundational to our core values.  We strive to create a diverse environment where each employee is encouraged to bring their unique ideas, backgrounds and experiences to the workplace. For more information about our Diversity, Inclusion and Belonging efforts, click HERE.  As part of this commitment, CapTech will ensure that persons with disabilities are provided reasonable accommodations. If reasonable accommodation is needed to participate in the job application or interview process, to perform essential job functions, and/or to receive other benefits and privileges of employment, please contact Laura Massa directly via email lmassa@captechconsulting.com.

CapTech supports Equal Pay for all. In addition, in the State of Virginia, we are committed to Equal Pay for ALL in accordance with the Virginia Transparency Law. Compensation for this role will be commensurate with the candidate’s skills, total relevant experience, job level, and geographic location. The base pay range for this role is: $90,000 - $200,000.

At this time, CapTech cannot transfer nor sponsor a work visa for this position. Applicants must be authorized to work directly for any employer in the United States without visa sponsorship.