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Contract Gcp Data Engineer Jobs in Virginia (NOW HIRING)

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

... 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 ...

Data Engineer

Quantico, VA

$123K - $148K/yr

Experience with cloud platforms (AWS, Azure, GCP) and hybrid environments * Knowledge of DevOps ... TS/SCI clearance required at contract start Preferred Qualifications: * Experience supporting ...

Data Engineer

Quantico, VA · On-site

$123K - $148K/yr

... GCP) and hybrid environments • Knowledge of DevOps/DataOps practices, including CI/CD for data ... required at contract start Preferred : • Experience supporting Department of Defense (DoD ...

Data Engineer

Herndon, VA · On-site

$117K - $141K/yr

Experience with Cloud platforms (AWS, Azure, GCP).Familiarity with data warehousing and data lake ... However, it is not intended to be a contract, and we reserve the right to modify the at any time.

Data Engineer

Herndon, VA

$117K - $141K/yr

Experience with Cloud platforms (AWS, Azure, GCP). * Familiarity with data warehousing and data ... However, it is not intended to be a contract, and we reserve the right to modify the at any time.

Data Engineer

Herndon, VA · On-site

$117K - $141K/yr

Experience with Cloud platforms (AWS, Azure, GCP). * Familiarity with data warehousing and data ... However, it is not intended to be a contract, and we reserve the right to modify the at any time.

... 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

Ashburn, VA · On-site

$145K - $160K/yr

Please Note: This position is contingent upon contract award. The Data Engineer supports the ... GCP). * Working knowledge of Python and/or SQL, with familiarity with at least one data ...

DATA ENGINEER

Mclean, VA · On-site

$116K - $139K/yr

USC, GC, H1B and EAD Contract Type: W2 Design, build, and operate large-scale batch and real-time ... such as AWS, Azure, or GCP. * 3+ years of experience with pipeline scheduling and workflow ...

Data Engineer

Quantico, VA · On-site

$121K - $145K/yr

Experience with cloud platforms (AWS, Azure, GCP) and hybrid environments * Knowledge of DevOps ... TS/SCI clearance required at contract start Preferred Qualifications: * Experience supporting ...

Data Engineer

Herndon, VA

$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 ...

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Contract Gcp Data Engineer information

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

AspectContract Gcp Data EngineerCloud Data Engineer
CertificationsGCP certifications (e.g., Professional Data Engineer)Cloud platform certifications (AWS, Azure, GCP)
Work EnvironmentContract roles, project-based, often remoteFull-time or contract, cloud-focused projects
Industry UsageUsed in companies leveraging GCP infrastructureUsed across multiple cloud providers, including GCP
Skills FocusGCP tools (BigQuery, Dataflow, Pub/Sub)Multiple cloud data tools, cloud architecture

The Contract Gcp Data Engineer specializes in GCP-specific data solutions on a contract basis, focusing on GCP tools and certifications. In contrast, a Cloud Data Engineer may work across various cloud platforms, with broader cloud architecture skills. Both roles require cloud data expertise but differ in platform specialization and employment type.

What is a contract GCP data engineer?

Contract GCP Data Engineers are professionals hired on a temporary or project basis to design, build, and manage data solutions using Google Cloud Platform (GCP) services. They specialize in tasks such as data ingestion, transformation, storage, and analysis using GCP tools like BigQuery, Dataflow, and Cloud Storage. These engineers work with organizations to support cloud-based data initiatives, often collaborating with data scientists, analysts, and other engineering teams. Their contract-based role allows companies to scale up cloud data operations quickly without committing to permanent hires.

What are the key skills and qualifications needed to thrive as a contract GCP data engineer?

To thrive as a Contract GCP Data Engineer, you need expertise in data engineering, ETL pipeline development, and proficiency in programming languages like Python or Java, often backed by a degree in computer science or a related field. Familiarity with Google Cloud Platform (GCP) services such as BigQuery, Dataflow, and Pub/Sub, as well as relevant certifications like Google Professional Data Engineer, is typically required. Strong problem-solving skills, effective communication, and the ability to adapt quickly to new environments set top candidates apart. These skills ensure efficient data processing, seamless collaboration, and successful project delivery within dynamic cloud-based infrastructures.

What are some common challenges contract GCP data engineers face when integrating data from multiple sources in cloud environments?

Contract GCP Data Engineers often encounter challenges with data consistency, schema mismatches, and handling large-scale data ingestion from various on-premise and cloud-based sources. Adapting to different data formats and ensuring secure, efficient data transfer are critical, especially when working with new clients or legacy systems. Collaboration with stakeholders, such as data analysts and architects, is key to clarifying requirements and troubleshooting issues quickly. Mastery of GCP tools like Dataflow, BigQuery, and Pub/Sub helps streamline integration, but staying flexible and proactive in communication is essential for success.
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 job categories do people searching Contract Gcp Data Engineer jobs in Virginia look for? The top searched job categories for Contract Gcp Data Engineer jobs in Virginia are:
What cities in Virginia are hiring for Contract Gcp Data Engineer jobs? Cities in Virginia with the most Contract Gcp Data Engineer job openings:

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 482 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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