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Trainee Gcp Data Engineer Jobs in Reston, VA (NOW HIRING)

... GCP Data Engineer Microsoft Azure Solutions Architect, Azure Data Engineer Associate, Snowflake Core, Snowflake Databricks Data Engineer Associate] is a plus - Designing and implementing thorough ...

... 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

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 ...

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 ...

Data Architect

Washington, DC · On-site

$72 - $92.50/hr

Certifications in cloud platforms (AWS Certified Data Analytics, Azure Data Engineer, GCP Data Engineer). * Experience supporting federal data modernization, digital transformation, or analytics ...

Data Architect

Washington, DC · On-site

$72 - $92.50/hr

Certifications in cloud platforms (AWS Certified Data Analytics, Azure Data Engineer, GCP Data Engineer). * Experience supporting federal data modernization, digital transformation, or analytics ...

Data Engineer

Mclean, VA · On-site

$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

Herndon, VA · On-site

$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

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

Quantico, VA · On-site

$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 ...

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 ...

Data Engineer

Herndon, VA · On-site

$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 ...

Data Engineer

Herndon, VA · On-site

$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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Trainee Gcp Data Engineer information

See Reston, VA salary details

$46.3K

$135K

$184.7K

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

As of Jul 28, 2026, the average yearly pay for trainee 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 Trainee Gcp Data Engineer vs Junior Data Engineer?

AspectTrainee Gcp Data EngineerJunior Data Engineer
Required CredentialsBasic understanding of GCP, entry-level certificationsSome certifications, practical experience preferred
Work EnvironmentTraining programs, supervised projectsReal-world data projects, team collaboration
Employer & Industry UsageEntry-level roles in tech and data companiesFull-time roles in data engineering teams

The Trainee Gcp Data Engineer is an entry-level position focused on learning GCP data tools, often in a training setting. A Junior Data Engineer typically has some practical experience and works on real data projects. While both roles involve GCP data services, the trainee role emphasizes learning and development, whereas the junior role involves applying skills in a professional environment.

What are the most commonly searched types of Gcp Data Engineer jobs in Reston, VA? The most popular types of Gcp Data Engineer jobs in Reston, VA are:
What are popular job titles related to Trainee Gcp Data Engineer jobs in Reston, VA? For Trainee Gcp Data Engineer jobs in Reston, VA, the most frequently searched job titles are:
What job categories do people searching Trainee Gcp Data Engineer jobs in Reston, VA look for? The top searched job categories for Trainee Gcp Data Engineer jobs in Reston, VA are:
What cities near Reston, VA are hiring for Trainee Gcp Data Engineer jobs? Cities near Reston, VA with the most Trainee Gcp Data Engineer job openings:
Infographic showing various Trainee Gcp Data Engineer job openings in Reston, VA as of July 2026, with employment types broken down into 1% As Needed, 80% Full Time, 11% Part Time, and 8% Contract. Highlights an 83% Physical, 3% Hybrid, and 14% Remote job distribution, with an average salary of $134,951 per year, or $64.9 per hour.
Google Cloud Platform (GCP) Data Engineer

Google Cloud Platform (GCP) Data Engineer

Accenture Federal Services

Arlington, VA

$131K - $158K/yr

Other

Posted 8 days ago


Accenture Federal Services rating

8.4

Company rating: 8.4 out of 10

Based on 19 frontline employees who took The Breakroom Quiz

59th of 488 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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