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Data Engineer Gcp Data Engineer Jobs in Reston, VA

Info Gain Consulting

Data Engineer

Alexandria, VA · On-site +1

$122.60K - $147.20K/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)

Info Gain Consulting

Data Engineer

Alexandria, VA · Remote

$122.60K - $147.20K/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)

SZNS Solutions LLC

Data Engineer

Reston, VA

$119.10K - $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 ...

SZNS Solutions LLC

Data Engineer

Reston, VA · On-site

$119.10K - $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 ...

NAVA Software Solutions

Sr. Data Engineer

Washington, DC · On-site

$129.90K - $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 ...

SZNS Solutions LLC

Data Engineer

Reston, VA · On-site

$119.10K - $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 ...

Pantheon Data

Data Engineer

Falls Church, VA · On-site

$122.10K - $146.70K/yr

The Data Engineer must be able to communicate clearly with both technical peers and non-technical stakeholders, such as program managers and clinical staff, to ensure data solutions meet mission ...

IntelliTech LLC

Mid Data Engineer

Arlington, VA · On-site

Implement and maintain cloud-native data engineering solutions in environments such as AWS, Azure, or GCP . * Collaborate with engineers, analysts, data scientists, and other stakeholders to support ...

Pantheon Data

Data Engineer

Falls Church, VA · On-site

$122.10K - $146.70K/yr

The Data Engineer must be able to communicate clearly with both technical peers and non-technical stakeholders, such as program managers and clinical staff, to ensure data solutions meet mission ...

IntelliTech

Mid Data Engineer

Arlington, VA · On-site

$110K - $180K/yr

Implement and maintain cloud-native data engineering solutions in environments such as AWS, Azure, or GCP . * Collaborate with engineers, analysts, data scientists, and other stakeholders to support ...

Steampunk

Data Engineer

Mclean, VA · 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 ...

Steampunk

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 ...

Steampunk

Data Engineer

Mclean, VA · 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 ...

Steampunk

Data Engineer

Mclean, VA · 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.

Viasat, Inc.

Data Engineer

Germantown, MD · 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 ...

Pantheon Data LLC

Data Engineer

Falls Church, VA

$122.10K - $146.70K/yr

The Data Engineer must be able to communicate clearly with both technical peers and non-technical stakeholders, such as program managers and clinical staff, to ensure data solutions meet mission ...

Steampunk

Data Engineer

Mclean, VA · 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.

Steampunk

Data Engineer

Mclean, VA · 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.

Steampunk

Data Engineer

Mclean, VA · On-site

$110K - $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 ...

Steampunk

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 ...

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All JobsData Engineer Gcp Data Engineer JobsData Engineer Gcp Data Engineer Jobs in Reston, VA

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 May 29, 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 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 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 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 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 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:
What job categories do people searching Data Engineer Gcp Data Engineer jobs in Reston, VA look for? The top searched job categories for Data Engineer Gcp Data Engineer jobs in Reston, VA are:
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 Gcp Data Engineer jobs near you
Data Engineer

Data Engineer

Info Gain Consulting

Alexandria, VA • On-site, Remote

$122.60K - $147.20K/yr

Full-time

Posted 13 days ago

Job description

Who We Are
Info Gain Consulting is a CMMI-DEV L3 appraised, and SBA Certified 8(a) Small business. We deliver program management, financial management, performance improvement, and technology enablement solutions to federal agencies in the US and overseas. Our federal clients value our ability to bring together expertise in people, processes, technology, and data to help them prepare for growth, manage risk, and improve operations.
Position Overview:
We are seeking a skilled Data Engineer to join our team, supporting the Department of Defense (DoD) Office of Inspector General (OIG). The candidate will be responsible for designing, building, and maintaining the infrastructure that supports data storage, processing, and retrieval in the Cloudera Data Platform. They will work with large data sets and develop data pipelines that move data from source systems to data warehouses, data lakes, and other data storage and processing systems. The candidate will also develop and maintain data APIs, ETL processes, and data integration systems.
Responsibilities Include:
  • Data Infrastructure Design: Design and implement robust and scalable data infrastructure solutions within the Cloudera Data Platform.
  • Data Pipeline Development: Create and maintain data pipelines to efficiently move data from source systems to data storage and processing systems.
  • Data Storage Management: Manage and optimize data storage solutions, including data warehouses and data lakes.
  • ETL (Extract, Transform, Load) Processes: Develop and maintain ETL processes to cleanse, transform, and load data into appropriate storage systems.
  • Data Integration: Design, develop, and maintain data integration systems to ensure seamless data flow between different components.
  • Data API Development: Build and maintain data APIs to facilitate data access for various applications and users.
  • Performance Optimization: Continuously monitor and optimize data processes and infrastructure for maximum performance and efficiency.
  • Data Security: Implement and maintain data security measures to protect sensitive information.
  • Collaboration: Collaborate with cross-functional teams, including data scientists and analysts, to understand data requirements and deliver effective solutions.
  • Documentation: Create and maintain clear and comprehensive documentation for data engineering processes and solutions.
  • Troubleshooting: Diagnose and resolve data-related issues and provide support as needed.
Required Skills, Experience, and Qualifications:
  • Education:
    • Bachelor's or higher degree in Computer Science, Information Technology, or a related field.
  • Clearance:
    • Must be a US Citizen with a current DoD Secret Clearance.
  • Certification:
    • Must have and maintain a current CompTIA Security+ CE certification.
  • Experience:
    • Proven experience in data engineering, including data pipeline development and infrastructure design.
    • Proficiency in Cloudera Data Platform or similar big data technologies.
    • Strong programming skills in languages such as Python, Java, or Scala.
    • Knowledge of database systems and SQL.
    • Familiarity with data warehousing concepts and tools.
    • Experience with ETL tools and processes.
    • Understanding of data security and compliance standards.
    • Excellent problem-solving and communication skills.
    • Ability to work independently and collaboratively in a remote team environment.
Preferred Qualifications
  • Certification in relevant data engineering technologies.
  • Experience working with the Department of Defense (DoD) or government agencies.
  • Knowledge of cloud-based data solutions (e.g., AWS, Azure, GCP).

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