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Data Engineer Gcp Data Engineer Jobs in Virginia

SZNS Solutions LLC

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 ...

Info Gain Consulting

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)

SZNS Solutions LLC

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 ...

SZNS Solutions LLC

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 ...

Entarian

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 ...

The Josef Group

Enterprise Data Engineer

Chantilly, VA · On-site

$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 ...

GRVTY

Enterprise Data Engineer

Chantilly, VA · On-site

$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 ...

Bespoke Technologies, Inc

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 ...

NS2 Mission

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 ...

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

$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 +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 ...

NewGen

Enterprise Data Engineer

Chantilly, VA · On-site +1

$117K - $140K/yr

We are seeking skilled and detail-oriented Data Engineers with expertise in utilizing Python, SQL ... Experience with cloud platforms (e.g., AWS, Azure, GCP) and big data technologies (e.g., Apache ...

NewGen Technologies

Enterprise Data Engineer

Chantilly, VA · On-site

$117K - $140K/yr

We are seeking skilled and detail-oriented Data Engineers with expertise in utilizing Python, SQL ... Experience with cloud platforms (e.g., AWS, Azure, GCP) and big data technologies (e.g., Apache ...

Cornerstone Defense

Chief Data Engineer

Chantilly, VA · On-site

$117K - $140K/yr

Experience with data processing platforms such as Hadoop, Spark, and cloud services (AWS, Azure, GCP). * Proficiency in programming languages such as Python, SQL, and tools like Apache NiFi, Talend ...

Woodgrove Solutions LLC

Palantir Data Engineer

Vienna, VA · On-site

$100K - $200K/yr

Job Listing: Palantir Data Engineer Location: Tysons Corner, VA (Off-Site/Hybrid) Position ... Familiarity with cloud-based technologies (AWS, Azure, GCP) is a plus. * Excellent problem-solving ...

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 ...

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All JobsData Engineer Gcp Data Engineer JobsData Engineer Gcp Data Engineer Jobs in Virginia

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, 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 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 Gcp Data Engineer jobs near you

Data Engineer

SZNS Solutions LLC

Reston, VA • On-site

$119K - $143K/yr

Full-time

Re-posted 9 hours ago

Job description

"SZNS Solutions (pronounced "seasons") is a technology consulting company and Google Cloud Partner based in Reston VA. We specialize in delivering agentic AI and cloud computing solutions. Founded by ex-Googlers with engineers from Google, Amazon, and Capital One, SZNS differentiates itself particularly in AI, data engineering, blockchain, and cloud-native software application development."

Role Summary

The Data Engineer is the bedrock of intelligence operations, responsible for turning raw, unstructured data into actionable intelligence. You will embed directly with clients to build the data pipelines that power AI workflows. We build systems that don't just move data, but do it with the speed and reliability required for live and automated intelligence. Ultimately, you'll create the foundations that will influence key strategic decisions for us and our customers.

Key Responsibilities

  • ETL/ELT Pipelines: Architect and deploy pipelines to ingest, transform, and store data from high volume, disparate sources for real-time analysis
  • Build for the Enterprise: Create a highly reliable single source of truth for enterprise intelligence and enablement
  • AI Workflow Enablement: Architect and optimize production-grade data foundations to support high-performance AI workflows and automated decision-making.
  • Operations & Governance: Establish and automate strict data security, quality assurance, and governance processes. Design systems for high fault tolerance and rapid disaster recovery
  • Efficiency: Design and model for efficient queries, resource usage, workload scheduling, and cost

Requirements

Minimum Qualifications

  • Bachelor's degree in Computer Science, Engineering, or equivalent practical experience
  • 5+ years of experience in data engineering, within a cloud environment, demonstrating a clear progression from engineering into architectural design
  • Proficiency in SQL and strong programming skills in Python, Rust, or Java
  • Experience building and maintaining data pipelines using processing/streaming frameworks (e.g., Kafka, Flink, Beam, Spark) and orchestration tools (e.g., Airflow)
  • Experience architecting data stores and schemas for AI workflows (e.g., RAG)
  • Active Google Cloud certifications, or willingness to obtain within one month of joining
  • Builder mentality and bias for action
  • US Citizen
Preferred Qualifications
  • Deep expertise in the Google Cloud Platform (GCP) ecosystem, specifically building streaming and batch pipelines using Dataflow (Apache Beam), Pub/Sub, BigQuery, and Cloud Composer (Airflow)
  • Strong background in data modeling and architecture across relational (e.g., PostgreSQL), NoSQL (e.g., Firestore, MongoDB), and graph databases (e.g., Neo4j), including modern cloud data warehouses (e.g., BigQuery) and data lakes (e.g., GCS, Dataproc)
  • Demonstrated experience setting up infrastructure for modern data science, machine learning, or Generative AI (e.g., preparing unstructured data, vector databases, RAG pipelines)
  • Familiarity with regulatory compliance frameworks (FedRAMP, HIPAA, etc.) and security strategies
  • Experience with modern data platforms like Snowflake or Databricks

Benefits

  • Competitive salary and benefits package
  • Hybrid work environment (MWF in-person in our Reston office)
  • A collaborative and innovative work environment
  • Continuous learning and development opportunities

Apply