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Data Engineer Gcp Data Engineer Jobs in Reston, VA

Data Engineer

Vienna, VA ยท 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

Chantilly, VA ยท 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 ...

... 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

Alexandria, VA ยท Remote

$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)

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

Alexandria, VA ยท On-site +1

$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)

Data Engineer

Reston, VA ยท 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 ยท 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 ...

Sr. Data Engineer

Washington, DC ยท On-site

$129K - $156K/yr

Details: Sr. Data Engineer Location: Washington DC (1-2 days/month onsite) / 100% remote is also ok ... Understand relationship between GCP products well - Primarily Data Fusion, Big Query and Looker ...

Data Engineer

Washington, DC ยท On-site

$77K - $176K/yr

Data Engineer The Opportunity: Ever-expanding technology like IoT, machine learning, and artificial ... Experience with public cloud platforms such as AWS, Azure, and GCP * Experience with distributed ...

Data Engineer

Washington, DC ยท On-site

$77K - $176K/yr

Data Engineer The Opportunity: Ever-expanding technology like IoT, machine learning, and artificial ... Experience with public cloud platforms such as AWS, Azure, and GCP * Experience with distributed ...

Data Architect | US

Washington, DC ยท On-site

$72.25 - $92.75/hr

Ability to lead and mentor data engineering teams on best practices for GCP data architecture and governance. Certifications (Preferred): Google Professional Data Engineer certification (preferred)

Data Engineer

Washington, DC ยท On-site

$77K - $176K/yr

Data Engineer The Opportunity: Ever-expanding technology such as IoT, machine learning, and ... Experience with public cloud platforms such as AWS, Azure, and GCP * Experience with distributed ...

Data Engineer

Mclean, VA ยท On-site

$125K - $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 ยท On-site +1

$125K - $160K/yr

We are looking for more than just a "Data Engineer", but a technologist with excellent ... Alternatively Azure, GCP). * Key must have skill sets - Python, AWS * Support an Agile software ...

Data Engineer

Mclean, VA

$125K - $160K/yr

We are looking for more than just a "Data Engineer", but a technologist with excellent ... Alternatively Azure, GCP). * Key must have skill sets - Python, AWS * Support an Agile software ...

Data Engineer

Mclean, VA ยท On-site

$110K - $160K/yr

Alternatively Azure, GCP). * Key must have skill sets - Python, SQL, Databricks, AWS Data Services ... Engineering with experience in tools such as: * Big data tools: Hadoop, Spark, Kafka, etc.

Data Engineer

Mclean, VA ยท On-site

$110K - $160K/yr

Alternatively Azure, GCP). * Key must have skill sets - Python, SQL, Databricks, AWS Data Services ... Engineering with experience in tools such as: * Big data tools: Hadoop, Spark, Kafka, etc.

Data Engineer

Germantown, MD ยท On-site +1

$174K - $261K/yr

Our mission is to enable our community of data scientists, analysts, and developers to derive ... Familiarity with at least one cloud provider such as AWS, GCP, or Azure. * Experience in design and ...

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Data Engineer Gcp Data Engineer information

See Reston, VA salary details

$46.3K

$135K

$184.7K

How much do data engineer gcp data engineer jobs pay per year?

As of Jun 28, 2026, the average yearly pay for data engineer gcp data engineer in Reston, VA is $134,951.00, according to ZipRecruiter salary data. Most workers in this role earn between $119,100.00 and $143,000.00 per year, depending on experience, location, and employer.

What is the difference between Data Engineer Gcp Data Engineer vs Data Engineer?

AspectData Engineer Gcp Data EngineerData Engineer
CertificationsGCP certifications (e.g., Professional Data Engineer)Varies; often includes cloud or database certifications
Work EnvironmentPrimarily cloud-based, focusing on Google Cloud Platform toolsCan be cloud, on-premises, or hybrid environments
Industry UsageCommon in organizations leveraging Google Cloud servicesWidespread across industries using various cloud providers
Skills FocusGCP tools, BigQuery, Dataflow, Pub/SubSQL, ETL, data modeling, general cloud skills

In summary, Data Engineer Gcp Data Engineer specializes in Google Cloud Platform tools and certifications, focusing on cloud-native data solutions. Data Engineer is a broader role that may work across multiple platforms and environments, with a wider range of tools and technologies.

What are some common challenges faced by Data Engineers working with GCP, and how can they be addressed?

Data Engineers working with Google Cloud Platform (GCP) often encounter challenges such as optimizing data pipeline performance, managing costs, and ensuring data security and compliance. Effective use of GCP's native monitoring and logging tools can help identify bottlenecks in ETL processes, while leveraging features like autoscaling in Dataflow or BigQuery partitioning improves efficiency. Regular collaboration with DevOps and security teams is crucial to maintain robust cloud architecture and compliance with data regulations. Staying updated with GCP releases and best practices will also help proactively address evolving challenges.

What are the key skills and qualifications needed to thrive as a GCP Data Engineer, and why are they important?

To thrive as a GCP Data Engineer, you need strong expertise in data modeling, ETL processes, and cloud architecture, typically backed by a degree in computer science or related field. Proficiency with Google Cloud Platform services (like BigQuery, Dataflow, and Pub/Sub), SQL, and tools such as Python or Java is essential, and certifications like Google Professional Data Engineer are highly valued. Strong problem-solving, communication, and teamwork skills help you collaborate effectively and translate business needs into technical solutions. These abilities ensure efficient, scalable data pipelines and reliable infrastructure, which are critical for driving data-driven decision-making.

What is a GCP Data Engineer?

A GCP Data Engineer is a data engineering professional who specializes in designing, building, and managing data processing systems on Google Cloud Platform (GCP). They work with cloud-based tools and services to collect, transform, and analyze large volumes of data, enabling organizations to gain insights and make data-driven decisions. GCP Data Engineers are proficient in technologies such as BigQuery, Dataflow, Pub/Sub, and Cloud Storage. Their role often involves ensuring data pipelines are reliable, scalable, and secure while optimizing performance and cost.
What are popular job titles related to Data Engineer Gcp Data Engineer jobs in Reston, VA? For Data Engineer Gcp Data Engineer jobs in Reston, VA, the most frequently searched job titles are:
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What cities near Reston, VA are hiring for Data Engineer Gcp Data Engineer jobs? Cities near Reston, VA with the most Data Engineer Gcp Data Engineer job openings:

Data Engineer

Woodgrove Solutions LLC

Vienna, VA โ€ข On-site

$90K - $170K/yr

Full-time

Posted 3 days ago


Job description

Job Listing: Data Engineer

Location: Tysons Corner, VA (Off-Site/Hybrid)

Position: Full-Time, Permanent

Security Clearance: DoD Secret Clearance Required (Ability to obtain)

Experience: 3+ years, $90,000 - $170,000

Overview: Woodgrove Solutions, LLC (Woodgrove) is leading-edge Management and Technology Services firm providing data engineering, analytics, and advisory services to both the Corporate and Federal sectors. Currently, we seek several highly motivated Data Engineers to support Federal government clients by designing, developing, and implementing modern data solutions that enable data-driven decision-making across complex enterprise environments. The ideal candidate will have experience building scalable data pipelines, integrating disparate data sources, and developing innovative digital tools that transform raw data into actionable insights. This position requires strong technical expertise, problem-solving skills, and the ability to collaborate effectively with both technical and non-technical stakeholders. In this role, you will work alongside a dedicated team of engineers and analysts to design, implement, and maintain Palantir-based solutions that drive data-driven decision-making in support of critical missions. Your expertise will be key to enabling our clients to leverage advanced data integration and analysis capabilities.

Key Responsibilities:

  • Design, develop, and maintain data pipelines, applications, and integration solutions.
  • Implement robust data transformation workflows, ensuring high-performance and scalability.
  • Work closely with cross-functional teams to gather requirements and provide data-driven solutions.
  • Collaborate on setting best practices for data management, security, and governance in enterprise data environments.
  • Troubleshoot and resolve complex data issues using .
  • Conduct performance tuning and optimization of digital tools, optimizing for maximum efficiency.
  • Provide expertise in data modeling, integration, and data visualization to support analytical efforts.
  • Support and maintain the full lifecycle of data tools and related services.
  • Ensure compliance with DoD security and data protection protocols.

Requirements:

  • 3+ years of experience in Data Engineering
  • US Citizenship is required.
  • Ability to retrieve Active DoW Secret Security Clearance (required for access to sensitive information).
  • Proficiency in Python, SQL, and other data-related programming languages.
  • Experience with data integration, ETL processes, and working with large-scale datasets.
  • Strong understanding of data structures, algorithms, and data warehousing concepts.
  • Familiarity with cloud-based technologies (AWS, Azure, GCP) is a plus.
  • Excellent problem-solving skills and the ability to communicate complex technical concepts clearly.
  • Strong interpersonal skills with the ability to work effectively in a collaborative, fast-paced environment.

Preferred Skills:

  • Experience working within the DoW or defense industry.
  • Familiarity with enterprise data platforms such as Advana, Databricks, Snowflake or similar technologies.
  • Experience with advanced analytics or machine learning applications.

Why Join Us?

  • Competitive salary and benefits package.
  • Opportunity to work on cutting-edge technology with top-tier defense projects.
  • Flexible work environment with remote options available.
  • Be part of a collaborative team dedicated to making an impact in national security and defense.

If you're passionate about data engineering and have experience with enterprise platform environments, we encourage you to apply for this exciting opportunity to work on high-impact projects in the defense and security space.