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Data Engineer Gcp Data Engineer Jobs in Washington, DC

ECS

Data Engineer

Ashburn, VA · On-site

$145K - $160K/yr

The Data Engineer supports the construction and day-to-day operation of Customs and Border ... GCP). * Working knowledge of Python and/or SQL, with familiarity with at least one data ...

Accenture Federal Services

Data Engineer

Suitland, MD · On-site

$123K - $148K/yr

They are seeking a skilled Data Engineer to design, build, and maintain data infrastructure ... Experience in GCP or Azure is also highly valued. • Extract, integrate, and ensure the quality of ...

Arbor

Data Engineer

Washington, DC · On-site

$129K - $155K/yr

The Opportunity We\'re looking for a Data / Analytics Engineer to own the data infrastructure that ... Comfort with GCP data services (BigQuery, Cloud Storage, Pub/Sub) is a plus given our ...

Arbor

Data Engineer

Washington, DC · Remote

$117K - $140K/yr

The Opportunity We're looking for a Data / Analytics Engineer to own the data infrastructure that ... Comfort with GCP data services (BigQuery, Cloud Storage, Pub/Sub) is a plus given our ...

Pantheon Data

Data Engineer

Washington, DC · On-site

$80K - $120K/yr

Position OverviewThe Data Engineer develops and maintains enterprise data pipelines, cloud-based data architectures, and automated data integration solutions.ResponsibilitiesDesign and implement ETL ...

Pantheon Data

Data Engineer

Washington, DC · On-site

$80K - $120K/yr

Position Overview The Data Engineer develops and maintains enterprise data pipelines, cloud-based data architectures, and automated data integration solutions. Responsibilities * Design and implement ...

RiVidium, Inc

Data Engineer

Quantico, VA · On-site

$121K - $145K/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 ...

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 ...

Pwc

Data Engineer - Senior Manager

Washington, DC · On-site

$124K - $280K/yr

... 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 ...

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 ...

Accenture Federal Services

Data Engineer

Suitland, MD

$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 ...

Woodgrove Solutions LLC

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 ...

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 ...

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 ...

NAVA Software Solutions

Sr. Data Engineer

Washington, DC · On-site

$129K - $156K/yr

Details: Sr. Data Engineer Location: Washington DC (1-2 days/month onsite) / 100% remote is also ok ... Understand relationship between GCP products well - Primarily Data Fusion, Big Query and Looker ...

BTree Solutions, Inc.

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 ...

Anivas Tech LLC

Data Engineer

Upper Marlboro, MD · On-site

$113K - $136K/yr

Anivas Tech is seeking a Data Engineer to support our government agency IT operations. We are ... Familiarity with cloud platforms (AWS, Azure, or GCP) and cloud-native data services * Strong ...

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 ...

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Showing results 21-40

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

Data Engineer Gcp Data Engineer information

See Washington, DC salary details

$50.4K

$146.9K

$201K

How much do data engineer gcp data engineer jobs pay per year?

As of Aug 18, 2026, the average yearly pay for data engineer gcp data engineer in Washington, DC is $146,916.00, according to ZipRecruiter salary data. Most workers in this role earn between $129,700.00 and $155,700.00 per year, depending on experience, location, and employer.

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, DC?

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

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

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

Data Engineer Gcp Data Engineer jobs near you

Data Engineer

ECS

Ashburn, VA • On-site

$145K - $160K/yr

Full-time

Re-posted 22 days ago

Job description

Everforth ECS is seeking a Data Engineer to work in a hybrid remote/onsite capacity, with minimum of 3 business days onsite at our Fairfax, VA corporate office and/or our Ashburn, VA customer site.
Please Note: This position is contingent upon contract award.
The Data Engineer supports the construction and day-to-day operation of Customs and Border Protection (CBP) data pipelines, contributing to the platform's mission of delivering reliable, analytics-ready data to operators and mission partners.
Job Responsibilities:
  • Configures structured data flows using Apache Airflow, AWS Glue jobs, Spark scripts, and Kafka topics under guidance from senior engineering personnel.
  • Performs data preparation tasks including schema mapping, format conversions, metadata tagging, and movement into bronze, silver, and gold medallion tiers.
  • Executes baseline quality checks using profiling tools, validation rules, and drift-monitoring alerts to detect abnormalities within lake environments.
  • Applies approved security, IAM, and data-handling patterns under guidance from senior engineers and cybersecurity personnel to support cybersecurity requirements for operational data handling.
  • Supports Tier-2 and engineering teams by performing basic log review, triage steps, and documented remediation actions for data ingestion or transformation failures.
  • Updates technical documentation, workflow diagrams, and pipeline inventories within SharePoint, Confluence, and GitLab repositories.
  • Tracks performance indicators including data freshness, pipeline run duration, and feature availability, contributing analytical inputs for engineering decision-making.
  • Coordinates with developers, platform engineers, and data operations specialists to support routine updates, backlog work, and deployment activities.
  • Contributes to operational readiness by executing repeatable engineering tasks that maintain pipeline continuity, strengthen data usability, and support enterprise analytics across mission communities.
  • Travel outside the Northern Virginia area is expected to be 15% or less.
  • Performs other duties as assigned.

Salary Range: $145,000-160,000
General Description of Benefits
  • US Citizen; Must be able to obtain and maintain a Public Trust determination.
  • Bachelor's degree in a STEM field - data engineering or computer science preferred.
  • 3+ years of experience in data engineering, software development, or a closely related technical discipline, with foundational exposure to data pipeline construction, ETL workflows, or cloud-based data platforms such as AWS, Microsoft Azure, or Google Cloud Platform (GCP).
  • Working knowledge of Python and/or SQL, with familiarity with at least one data orchestration or processing tool such as Apache Airflow, Apache Spark, or AWS Glue.
  • Strong teaming and communication skills will be required for this position.

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