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Senior Gcp Data Engineer Jobs in Springfield, VA

Pwc

Data Engineer - Senior Associate

Washington, DC · On-site

$77K - $202K/yr

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior Associate ... GCP Data Engineer Microsoft Azure Solutions Architect, Azure Data Engineer Associate, Snowflake ...

Pwc

Data Engineer - Senior Manager

Washington, DC · On-site

$124K - $280K/yr

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior Manager ... GCP Data Engineer Microsoft Azure Solutions Architect, Azure Data Engineer Associate, Snowflake ...

NAVA Software Solutions

Sr. Data Engineer

Washington, DC · 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 ...

IQUASAR LLC

Senior Data Engineer

Washington, DC · On-site

$119K - $162K/yr

Makpar has an exciting opportunity for a Senior Data Engineer to join our growing team.his role ... Knowledge of cloud platforms (AWS, Azure, GCP). * Excellent problem-solving, debugging, and ...

iQuasar LLC

Senior Data Engineer

Washington, DC · On-site

$119K - $162K/yr

Makpar has an exciting opportunity for a Senior Data Engineer to join our growing team.his role ... Knowledge of cloud platforms (AWS, Azure, GCP). * Excellent problem-solving, debugging, and ...

ECS

Data Engineer

Ashburn, VA · On-site

$145K - $160K/yr

Applies approved security, IAM, and data-handling patterns under guidance from senior engineers and ... GCP). * Working knowledge of Python and/or SQL, with familiarity with at least one data ...

RIVIDIUM

Data Engineer

Quantico, VA · On-site

$123K - $148K/yr

RiVidium Inc. is seeking a Senior Data Engineer to support data-driven decision-making by ... Experience with cloud platforms (AWS, Azure, GCP) and hybrid environments * Knowledge of DevOps ...

Rividium Inc

Data Engineer

Quantico, VA · On-site

$123K - $148K/yr

RiVidium Inc. is seeking a Senior Data Engineer to support data-driven decision-making by ... GCP) and hybrid environments • Knowledge of DevOps/DataOps practices, including CI/CD for data ...

Arbor

Data Engineer

Washington, DC · Remote

$117K - $140K/yr

The Opportunity We're looking for a Data / Analytics Engineer to own the data infrastructure that ... Comfort with GCP data services (BigQuery, Cloud Storage, Pub/Sub) is a plus given our ...

Arbor

Data Engineer

Washington, DC

$129K - $155K/yr

The Opportunity We\'re looking for a Data / Analytics Engineer to own the data infrastructure that ... Comfort with GCP data services (BigQuery, Cloud Storage, Pub/Sub) is a plus given our ...

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Senior Gcp Data Engineer information

See Springfield, VA salary details

$84.6K

$132K

$182.8K

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

As of Aug 6, 2026, the average yearly pay for senior gcp data engineer in Springfield, VA is $131,953.00, according to ZipRecruiter salary data. Most workers in this role earn between $110,700.00 and $150,400.00 per year, depending on experience, location, and employer.

What is a Senior GCP Data Engineer?

Senior GCP Data Engineers are experienced professionals who design, build, and manage data processing systems on Google Cloud Platform (GCP). They are responsible for developing scalable data pipelines, ensuring data quality, and enabling analytics and machine learning solutions. Their work often involves using tools like BigQuery, Dataflow, and Dataproc, as well as programming languages such as Python or SQL. Senior GCP Data Engineers also mentor junior team members and contribute to architectural decisions to ensure best practices in cloud data engineering.

What are some common challenges faced by Senior GCP Data Engineers when migrating legacy data systems to Google Cloud Platform?

Senior GCP Data Engineers often encounter challenges such as ensuring data integrity during large-scale migrations, optimizing performance for cloud-native architectures, and adapting legacy ETL processes to leverage GCP services like BigQuery and Dataflow. Collaborating with cross-functional teams to map business requirements to cloud solutions is also key. Additionally, they must address security and compliance concerns, ensuring data is protected throughout the migration process.

What are the key skills and qualifications needed to thrive as a Senior GCP Data Engineer?

To thrive as a Senior GCP Data Engineer, you need deep expertise in data engineering concepts, SQL, programming languages like Python or Java, and a strong understanding of Google Cloud Platform (GCP) services, usually supported by a bachelor’s degree in computer science or a related field. Familiarity with tools such as BigQuery, Dataflow, Cloud Composer, and relevant GCP certifications like Professional Data Engineer is highly valued. Strong problem-solving, communication, and project management skills set top performers apart, enabling effective collaboration and leadership in complex data projects. These capabilities are crucial for designing scalable data solutions, ensuring data reliability, and driving data-driven decision-making within organizations.

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

AspectSenior Gcp Data EngineerData Scientist
Required CredentialsCloud certifications (GCP), SQL, Python, data engineering skillsStatistics, machine learning, programming (Python/R), advanced degrees often preferred
Work EnvironmentData pipelines, cloud infrastructure, ETL processesData analysis, modeling, research, visualization
Industry UsageData infrastructure, big data projects, cloud-based data solutionsPredictive modeling, insights, data-driven decision making

The main difference is that Senior Gcp Data Engineers focus on building and maintaining data pipelines and infrastructure on GCP, while Data Scientists analyze data to generate insights and models. Both roles require strong technical skills, but their core responsibilities differ significantly.

What job categories do people searching Senior Gcp Data Engineer jobs in Springfield, VA look for? The top searched job categories for Senior Gcp Data Engineer jobs in Springfield, VA are:
What cities near Springfield, VA are hiring for Senior Gcp Data Engineer jobs? Cities near Springfield, VA with the most Senior Gcp Data Engineer job openings:
Senior Gcp Data Engineer jobs near you

Google Cloud Platform (GCP) Data Engineer

Accenture Federal Services

Arlington, VA

$131K - $158K/yr

Other

Posted 17 days ago

Accenture Federal Services rating

8.7

Company rating: 8.7 out of 10

Based on 20 frontline employees who took The Breakroom Quiz

44th of 481 rated business services

Job description

Job Description:

Accenture Federal Services is looking for a specialized Google Cloud Platform (GCP) Data Engineer to support strategic data and workload migrations. In this role, you will be responsible for designing and building robust, secure data architectures and pipelines on GCP. You will help modernize federal data landscapes, enabling advanced analytics and data-driven decision-making for critical mission objectives.

The work you'll do:

  • Design, develop, and maintain robust data pipelines and ETL processes that enable the seamless integration, cleansing, harmonization, and transformations in large-scale data processing systems and data lakes/data warehouses using GCP native services (BigQuery, Cloud Storage, Dataflow, Dataproc, Pub/Sub).
  • Implement performance tuning (partitioning, broadcast joins, caching, shuffle optimization).
  • Integrate data from multiple sources (databases, APIs, cloud storage, potentially streaming).
  • Migrate legacy data stores and ETL pipelines to modernized, cloud-native architectures on GCP.
  • Develop scalable batch and real-time streaming data pipelines using Python, SQL, and Apache Beam.
  • Implement data governance, data quality checks, and secure data access controls in alignment with strict federal security requirements.
  • Collaborate with data scientists, cloud infrastructure engineers, and mission stakeholders to optimize data models and query performance.
  • Design and Implement CI/CD Pipelines: Architect and build robust, automated CI/CD pipelines to streamline the build, test, and deployment processes from development through to production environments.

Here's what you'll need:

  • 3 to 5+ years of experience with data engineering, data warehousing, and/or big data processing.
  • 2+ years of hands-on experience building data pipelines and/or data solutions on Google Cloud Platform (BigQuery, Dataflow, and/or Cloud Composer).
  • Strong programming skills in Python and advanced proficiency in SQL.
  • Experience with ETL/ELT concepts and tools.

Bonus points if you have:

  • Google Cloud Professional Data Engineer Certification.
  • Experience with migrating legacy relational databases (e.g., Oracle, SQL Server) to cloud-native databases (e.g., Cloud SQL, AlloyDB, Spanner).
  • Familiarity with federal data strategies, RMF, and Impact Level 4/5 (IL4/IL5) security and compliance standards.

Security clearance:

  • Active Top Secret (TS) or Interim TS security clearance is required.

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