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Data Engineer Gcp Data Engineer Jobs in Washington

Interon IT Solutions

GCP Data Engineer

Chantilly, VA · On-site

$117K - $140K/yr

Senior GCP Data Engineer Location:Remote Experience: 8+ years Our client is looking for an experienced GCP Data Engineer to build and support cloud-based data solutions for healthcare, pharmacy ...

Analytica

Data Architect

Washington, DC · On-site

$72 - $92.50/hr

... Engineer, GCP Data Engineer) • Experience supporting federal data modernization, digital transformation, or analytics programs • Familiarity with data governance tools (Collibra, Alation ...

Interon IT Solutions

GCP Data Architect

Chantilly, VA · On-site

$65.25 - $84/hr

GCP Data Architect Location: Remote Experience: 12+ years Our client is looking for a GCP Data ... Partner with security, governance, analytics, product, and engineering teams. * Support ...

Analytica

Data Architect

Washington, DC · On-site

$72.25 - $92.75/hr

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

Analytica

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 ...

Pwc

Data Engineer - Senior Associate

Washington, DC · On-site

$77K - $202K/yr

... 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 ...

VTG

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 ...

VTG

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 ...

VTG

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 ...

Accenture Federal Services

Data Engineer

Suitland, MD · On-site

$123K - $148K/yr

Data Engineer We are looking for a skilled and passionate Data Engineer to join our team. You will ... Experience in GCP or Azure is also highly valued. * Database & Querying Skills : Extract, integrate ...

Systech Federal

Data Engineer

Chantilly, VA · On-site

$117K - $140K/yr

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

RIVIDIUM

Data Engineer

Quantico, VA

$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 ...

Altus Consulting Corp

Data Engineer

Herndon, VA · On-site

$117K - $141K/yr

Altus Consulting is seeking a skilled Data Engineer to join our dynamic team. You will be ... Experience with Cloud platforms (AWS, Azure, GCP).Familiarity with data warehousing and data lake ...

Altus Consulting Corp

Data Engineer

Herndon, VA

$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 ...

Rividium Inc

Data Engineer

Quantico, VA · On-site

$123K - $148K/yr

... Azure, GCP) and hybrid environments • Knowledge of DevOps/DataOps practices, including CI/CD for data pipelines • Familiarity with message queuing, stream processing, and real-time data ...

Altus Consulting Corp

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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All JobsData Engineer Gcp Data Engineer JobsData Engineer Gcp Data Engineer Jobs in Washington

Data Engineer Gcp Data Engineer information

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.

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 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 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 popular job titles related to Data Engineer Gcp Data Engineer jobs in Washington?

For Data Engineer Gcp Data Engineer jobs in Washington, the most frequently searched job titles are:

What job categories do people searching Data Engineer Gcp Data Engineer jobs in Washington look for?

The top searched job categories for Data Engineer Gcp Data Engineer jobs in Washington are:

What cities in Washington are hiring for Data Engineer Gcp Data Engineer jobs?

Cities in Washington with the most Data Engineer Gcp Data Engineer job openings:

Data Engineer Gcp Data Engineer jobs near you

GCP Data Engineer

Interon IT Solutions

Chantilly, VA • On-site

$117K - $140K/yr

Contractor

Posted 4 days ago

Job description

#W2 role

Role: Senior GCP Data Engineer
Location:Remote
Experience: 8+ years

Job Description

Our client is looking for an experienced GCP Data Engineer to build and support cloud-based data solutions for healthcare, pharmacy, claims, member, and operational data.

This is a hands-on development role. The engineer will work with architects, analysts, product owners, and other engineering teams to build reliable batch and real-time data pipelines on Google Cloud Platform.

Responsibilities

  • Design, develop, and maintain scalable data pipelines using GCP services.

  • Build batch and streaming solutions using Dataflow, Pub/Sub, BigQuery, Cloud Storage, Dataproc, and Cloud Composer.

  • Develop data-processing applications using Python, SQL, Spark, and Apache Beam.

  • Create BigQuery tables, views, stored procedures, and data models.

  • Apply partitioning and clustering strategies to improve BigQuery performance and cost.

  • Ingest and transform healthcare, pharmacy, claims, member, provider, and operational data.

  • Build data validation, reconciliation, error-handling, and monitoring processes.

  • Troubleshoot pipeline failures, data-quality issues, and performance problems.

  • Support data migration from legacy and on-premises platforms to GCP.

  • Protect PHI, PII, and other sensitive information using appropriate security and access controls.

  • Develop automated build and deployment pipelines using Git, Jenkins or GitLab CI/CD, and Terraform.

  • Participate in code reviews, production releases, and operational support.

Required Qualifications

  • 8+ years of data engineering or software development experience.

  • 4+ years of hands-on experience with GCP data services.

  • Strong experience with BigQuery, Dataflow, Pub/Sub, Cloud Storage, Dataproc, and Cloud Composer.

  • Advanced Python and SQL development skills.

  • Experience with Spark, Apache Beam, and Airflow.

  • Strong understanding of ETL/ELT, data warehousing, data lakes, and distributed data processing.

  • Experience building both batch and streaming data pipelines.

  • Experience with Docker, Kubernetes, Terraform, Git, and CI/CD.

  • Strong troubleshooting and communication skills.

Preferred Qualifications

  • Healthcare, pharmacy, PBM, claims, or health insurance experience.

  • Understanding of HIPAA, PHI, and PII requirements.

  • Experience with dbt, Dataplex, Data Catalog, Cloud Run, Cloud Functions, or Looker.

  • Google Professional Data Engineer certification.