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Data Engineer Gcp Data Engineer Jobs in Washington

Keystone

Data Engineer

Washington, DC · On-site

$129K - $155K/yr

The Data Engineer will lead the design and implementation of scalable data workflows, architect ... GCP, Azure, Snowflake). • Develop reproducible workflows using Infrastructure as Code and data ...

The Josef Group

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 ...

Makpar

Data Engineer

Washington, DC

$129K - $155K/yr

We combine functional and technical expertise in cloud engineering, data management, cybersecurity ... Experience working with cloud platforms such as AWS, Azure, or GCP. Strong analytical ...

Makpar

Data Engineer

Washington, DC · On-site

$129K - $155K/yr

We combine functional and technical expertise in cloud engineering, data management, cybersecurity ... GCP. • Strong analytical, troubleshooting, and problem-solving skills. • Excellent ...

Makpar

Data Engineer

Washington, DC

$129K - $155K/yr

We combine functional and technical expertise in cloud engineering, data management, cybersecurity ... Experience working with cloud platforms such as AWS, Azure, or GCP. * Strong analytical ...

Steampunk

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 ...

Steampunk

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 ...

Steampunk

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 ...

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

$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 ...

Steampunk

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 ...

Viasat

Data Engineer

Germantown, MD · On-site

$115K - $138K/yr

... GCP, or Azure. • Experience in design and implementation of robust and highly scalable Data ... Engineering, Software Engineering, Electrical Engineering, Math, Physics or a related field • ...

Viasat, Inc.

Data Engineer

Germantown, MD · On-site +1

$174K - $261K/yr

Our mission is to enable our community of data scientists, analysts, and developers to derive ... Familiarity with at least one cloud provider such as AWS, GCP, or Azure. * Experience in design and ...

Steampunk

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 ...

Steampunk

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 ...

Steampunk

Data Engineer

Mclean, VA

$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 ...

NewGen Technologies

Enterprise Data Engineer

Chantilly, VA

$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 ...

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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 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 Gcp Data Engineer jobs near you

Data Engineer

Keystone

Washington, DC • On-site

$129K - $155K/yr

Full-time

Re-posted 29 days ago

Job description

Job Summary:
Keystone is a premier economics, technology, and strategy consulting firm that helps companies navigate transformation. The Data Engineer will lead the design and implementation of scalable data workflows, architect infrastructure, and develop reusable frameworks to support data-intensive projects across the firm.
Responsibilities:
• Architect and implement end-to-end data pipelines, transformations, and infrastructure across cloud environments (AWS, GCP, Azure, Snowflake).
• Develop reproducible workflows using Infrastructure as Code and data orchestration tools (Airflow, dbt, Spark, or equivalent).
• Design data models and storage systems optimized for performance, scalability, and defensibility in regulatory and litigation contexts.
• Build and maintain reusable templates, libraries, and automation frameworks that improve engineering efficiency across projects.
• Conduct code reviews, mentor peers, and ensure technical rigor and reproducibility in all project deliverables.
• Partner with client-facing teams, economists, and data scientists to translate analytical goals into scalable, automated data solutions.
• Collaborate with Platform and Forensic Engineering peers to develop integrated solutions across Foundry focus areas.
• Support the design and delivery of data visualization and analytic tooling (e.g., Power BI, Tableau, Streamlit) for client and internal projects.
• Contribute to documentation and internal guides that capture lessons learned, reusable modules, and technical standards.
• Mentor junior engineers and foster adoption of best practices in data architecture, version control, testing, and CI/CD.
• Participate in Scaling Days to share learnings, refine templates, and advance the firm’s reusable engineering assets.
• Identify opportunities to generalize project solutions into reusable Foundry tooling and QuickStarts.
• Contribute to research and evaluation of emerging technologies (e.g., SQLMesh, OpenLineage, LLM data evaluation pipelines).
• Travel 10 – 25% depending on project assignments.
Qualifications:
Required:
• 6+ years of experience in data engineering, data infrastructure, or software engineering roles.
• Deep proficiency in Python, SQL, and modern data stack tools (Airflow, dbt, Spark, Snowflake, BigQuery, or equivalent).
• Strong understanding of cloud architecture and Infrastructure as Code (Terraform, CloudFormation, or similar).
• Experience with version control, CI/CD workflows, and containerization (Docker, Kubernetes).
• Proven ability to architect and optimize large-scale data systems for performance, reliability, and reproducibility.
• Excellent communication skills with the ability to convey technical concepts to non-technical audiences.
• Demonstrated collaboration across disciplines and commitment to mentoring and technical excellence.
• Bachelor’s or advanced degree in Computer Science, Engineering, or related field.
Preferred:
• Prior experience at a consulting firm or matrix-based organization.
• Experience developing internal libraries, frameworks, or automation solutions.
• Familiarity with data governance, lineage tracking, or privacy-preserving techniques.
• Exposure to AI/ML data pipelines, LLM evaluation, or text analytics systems.
Company:
Keystone is an innovative strategy, economics, and technology consulting firm delivering transformative ideas and novel solutions to global brands and law firms on leading-edge challenges in technology, business, consumer goods, and science. Founded in 2003, the company is headquartered in San Francisco, USA, with a team of 201-500 employees. The company is currently Growth Stage.

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