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Data Engineer Gcp Data Engineer Jobs in Virginia

Data Engineer

Chantilly, VA · 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

Vienna, VA · 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

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 · On-site

$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 · 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 · 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

Mclean, VA · On-site

$116K - $139K/yr

DATA ENGINEER Location: Mclean,VA or Plano, TX Duration: 12+ Months Visa: USC, GC, H1B and EAD ... such as AWS, Azure, or GCP. * 3+ years of experience with pipeline scheduling and workflow ...

Data Engineer

Richmond, VA · On-site +1

$100K - $120K/yr

The Senior Data Engineer drives and implements data engineering best practices, ensures high ... Cloud platform experience (AWS, Azure, or GCP). * Prior experience influencing enterprise data ...

Enterprise Data Engineer

Herndon, VA · On-site

$117K - $141K/yr

BT-334 - Enterprise Data Engineer Skill Level: Mid-SME Herndon, VA (fully on-site, no remote option ... Experience with cloud platforms (e.g., AWS, Azure, GCP) and big data technologies (e.g., Apache ...

Data Engineer

Richmond, VA · On-site

$100K - $120K/yr

The Senior Data Engineer drives and implements data engineering best practices, ensures high ... Cloud platform experience (AWS, Azure, or GCP). * Prior experience influencing enterprise data ...

Data Engineer

Yorktown, VA

$101K - $121K/yr

As Data Engineer you will work on a team consisting of Data and Cloud Architects, Engineers, and ... Experience with cloud data services (e.g., AWS, Azure, GCP) * Experience with Cloud Relational ...

Enterprise Data Engineer

Chantilly, VA

$117K - $140K/yr

Preferred Skills: · Bachelor's degree in Computer Science , Data Engineering , or a related field. · Hands-on experience with Palantir . · Experience with cloud platforms (e.g., AWS, Azure, GCP ...

Enterprise Data Engineer

Chantilly, VA

$117K - $140K/yr

We embed skilled Data Engineers, Data Scientists, and ETL Developers directly into intelligence ... Experience with cloud platforms(e.g., AWS, Azure, GCP) and big data technologies (e.g., Apache ...

Data Engineer

Mclean, VA

$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 ...

Data Engineer

Mclean, VA

$110K - $160K/yr

We are looking for seasoned Data Engineer t o 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 · 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 ...

Data Engineer

Chantilly, VA · On-site

$118K - $142K/yr

NS2 Mission is seeking a Data Engineer to support a project in Chantilly, VA . In this role, you'll ... Experience working with cloud platforms such as AWS, Azure, or GCP. * Familiarity with big data ...

Showing results 21-40

Data Engineer Gcp Data Engineer information

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?

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.
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Data Engineer

VTG

Chantilly, VA • On-site

$118K - $142K/yr

Full-time

Re-posted 14 days ago


Job description

Overview
VTG is seeking a skilled Data Engineer with at least 5 years of experience designing, building, and maintaining scalable data pipelines and architectures. The ideal candidate will have strong expertise in data integration, ETL/ELT processes, and cloud-based data platforms, with a focus on delivering high-quality, reliable data solutions that support analytics and business decision-making.
What will you do?
  • Design, develop, and maintain scalable data pipelines and workflows (ETL/ELT)
  • Build and optimize data architectures, including data lakes, data warehouses, and data marts
  • Ingest, process, and transform large volumes of structured and unstructured data
  • Ensure data quality, integrity, and reliability across systems
  • Collaborate with data analysts, data scientists, and business stakeholders to define data requirements
  • Implement data governance, security, and compliance best practices
  • Optimize data storage, query performance, and cost efficiency in cloud environments
  • Monitor and troubleshoot data pipeline performance and failures
  • Maintain documentation for data flows, systems, and processes

Do you have what it takes?
  • Active TS/SCI with Polygraph required.
  • Bachelor's degree in computer science, Software Engineering, or related field.
  • 5+ years of experience in data engineering or a related field
  • Strong proficiency in SQL and experience with relational databases (e.g., PostgreSQL, MySQL, SQL Server)
  • Experience with big data processing frameworks (e.g., Spark, Hadoop)
  • Hands-on experience building ETL/ELT pipelines using tools such as Apache Airflow, Informatica, or similar
  • 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, BigQuery)
  • Strong understanding of data modeling concepts (star/snowflake schemas)