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Entry Level Gcp Data Engineer Jobs in Seattle, WA

Deloitte

AI Engineer Consultant

Seattle, WA · Hybrid

... GCP (one or more), including managed data platforms and scalable compute patterns. * 2+ years of ... We are hiring an AI Engineer to build and operate the data, features, and GenAI foundations that ...

Pwc

AI & GenAI Data Scientist - Manager

Seattle, WA

$99K - $232K/yr

In this role at PwC, you will apply data, algorithms, and software engineering to build and deploy ... PwC does not intend to hire experienced or entry level job seekers who will need, now or in the ...

V2 Infra Tech

Data Moderator

Redmond, WA · On-site

The Moderator manages the devices used in on-site collection and makes sure all collection data is properly stored and uploaded. Entry-level position. Responsibilities: · Greets and briefs study ...

New

Orchard

Machine Learning Engineer

Seattle, WA · On-site

$120 - $190/hr

Strong experience with data engineering tools (e.g., Pandas, SQL, MLFlow, WandB). * Familiarity with cloud platforms (AWS, GCP) and containerization (Docker, Kubernetes). * Experience working with ...

Spatium Lab LLC

AI Engineer Intern

Bellevue, WA · On-site

$82.66 - $165.31/hr

... customer data securely. This is practical AI engineering, not research--you'll ship production ... Integrate LLMs via AWS Bedrock, GCP Vertex AI, or OpenAI APIs * Develop MCP (Model Context Protocol ...

Orchard Robotics

Machine Learning Engineer

Seattle, WA · On-site

$135K - $210K/yr

Strong experience with data engineering tools (e.g., Pandas, SQL, MLFlow, WandB). * Familiarity with cloud platforms (AWS, GCP) and containerization (Docker, Kubernetes). * Experience working with ...

Orchard Robotics

Machine Learning Engineer

Seattle, WA · On-site

$135K - $210K/yr

Strong experience with data engineering tools (e.g., Pandas, SQL, MLFlow, WandB). * Familiarity with cloud platforms (AWS, GCP) and containerization (Docker, Kubernetes). * Experience working with ...

Facet, Inc

Entry Level Structural Engineer

Seattle, WA · On-site

$79K - $83K/yr

We are seeking a motivated and talented entry level Structural Engineer 1 to join our dynamic team ... Conduct site visits and field investigations to gather data and assess project requirements.

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All JobsGcp Data Engineer JobsEntry Level Gcp Data Engineer JobsEntry Level Gcp Data Engineer Jobs in Seattle, WA

Entry Level Gcp Data Engineer information

See Seattle, WA salary details

$50.6K

$147.6K

$202K

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

As of Sep 3, 2026, the average yearly pay for entry level gcp data engineer in Seattle, WA is $147,621.00, according to ZipRecruiter salary data. Most workers in this role earn between $130,300.00 and $156,500.00 per year, depending on experience, location, and employer.

What does an entry level GCP data engineer do?

An Entry Level GCP Data Engineer is responsible for building, managing, and optimizing data pipelines on Google Cloud Platform (GCP). Their tasks typically include designing data workflows, developing ETL (Extract, Transform, Load) processes, and ensuring data quality and security. They work with tools like BigQuery, Dataflow, and Cloud Storage to facilitate data movement and analysis. The role often involves collaborating with data scientists, analysts, and other engineers to support business intelligence and analytics initiatives. As an entry-level position, it emphasizes learning cloud technologies and best practices while supporting more senior engineers.

What are the key skills and qualifications needed to thrive as an entry level GCP data engineer?

To thrive as an Entry Level GCP Data Engineer, you need a solid understanding of data structures, SQL, Python or Java programming, and a foundational knowledge of cloud computing principles, often supported by a relevant degree or certification. Familiarity with Google Cloud Platform services like BigQuery, Dataflow, Cloud Storage, and tools such as Terraform or Apache Beam is typically required. Strong problem-solving abilities, attention to detail, and effective communication skills help you collaborate with teams and address data challenges efficiently. These skills ensure you can design, build, and maintain scalable data solutions that support organizational goals in a cloud environment.

What are some common challenges faced by entry level GCP data engineers, and how can they overcome them?

Entry-level GCP Data Engineers often encounter challenges such as learning to navigate Google Cloud Platform's suite of data tools, understanding cloud security best practices, and efficiently managing large-scale datasets. Adapting to a fast-paced environment where priorities shift quickly can also be demanding. To overcome these challenges, new engineers should leverage available training resources, seek mentorship from experienced team members, and practice working on small-scale projects before tackling larger ones. Collaboration with data scientists, architects, and other engineers is key to building both technical skills and a strong professional network.

What is the difference between Entry Level Gcp Data Engineer vs Data Analyst?

AspectEntry Level Gcp Data EngineerData Analyst
Required CredentialsGCP certifications, basic SQL, cloud fundamentalsExcel, SQL, data visualization tools, sometimes certifications
Work EnvironmentCloud platforms, data pipelines, infrastructure setupData interpretation, reporting, dashboards
Industry UsageTech, finance, healthcare with cloud adoptionMarketing, business, finance sectors

While both roles involve working with data, Entry Level Gcp Data Engineers focus on building and maintaining cloud-based data pipelines using GCP tools, whereas Data Analysts primarily analyze data to generate insights and reports. The roles share some skills like SQL but differ in technical depth and responsibilities.

Can I get an entry level Gcp data engineer job with no experience?

Entry level GCP Data Engineer roles typically require some foundational knowledge of cloud platforms, data processing, and SQL, but many employers consider candidates with relevant certifications or coursework even without professional experience. Building skills in tools like BigQuery, Cloud Storage, and Dataflow through online courses or projects can improve your chances of securing an entry-level position. Certifications such as the Google Cloud Associate Cloud Engineer can also enhance your qualifications for these roles.

Is an entry level GCP data engineer in demand?

Entry-level GCP data engineers are in high demand due to the increasing adoption of cloud data platforms and the need for data management skills. Proficiency in Google Cloud tools like BigQuery, Dataflow, and Cloud Storage, along with certifications, can improve job prospects in this growing field.

What are the most commonly searched types of Gcp Data Engineer jobs in Seattle, WA?

The most popular types of Gcp Data Engineer jobs in Seattle, WA are:

What are popular job titles related to Entry Level Gcp Data Engineer jobs in Seattle, WA?

For Entry Level Gcp Data Engineer jobs in Seattle, WA, the most frequently searched job titles are:

What job categories do people searching Entry Level Gcp Data Engineer jobs in Seattle, WA look for?

The top searched job categories for Entry Level Gcp Data Engineer jobs in Seattle, WA are:

What cities near Seattle, WA are hiring for Entry Level Gcp Data Engineer jobs?

Cities near Seattle, WA with the most Entry Level Gcp Data Engineer job openings:

Entry Level Gcp Data Engineer jobs near you
Infographic showing various Entry Level Gcp Data Engineer job openings in Seattle, WA as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 12% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $147,621 per year, or $71 per hour.

Data Architect with Python and GCP cloud - Full Time Role

Saransh Inc

Issaquah, WA • On-site

$73.50 - $94.50/hr

Full-time

Re-posted 9 days ago

Job description

Role: Senior Data Architect
Location: Issaquah, WA (Day 1 Onsite)
Job Type: Full-Time
 
Must Have Skills:
Data Pipeline, C#, Python, Google Cloud Platform (GCP), Data Quality
 
Job Description:
Looking for a Data Architect who will play a role in designing, developing, and implementing data pipelines and data integration solutions using Python and Google Cloud Platform services.
 
Responsibilities:
  • Develop, construct, test and maintain data acquisition pipelines for large volumes of structured and unstructured data. This includes batch and real-time processing
  • Develop and maintain data pipelines and ETL processes using Python.
  • Design, build, and optimize data models and data architecture for efficient data processing and storage
  • Implement data integration and data transformation workflows to ensure data quality and consistency
 
Required:
  • Working experience as a Data Engineer
  • Experienced in migrating large-scale applications from legacy systems to modern architectures.
  • Good programming skills in Python and experience with Spark for data processing and analytics
  • Experience in Google Cloud Platform services such as GCS, Dataflow, Cloud Functions, Cloud Composer, Cloud Scheduler, Datastream (CDC), Pub/Sub, BigQuery, Dataproc, etc. with Apache Beam (Batch & Stream data processing).
  • Develop JSON messaging structure for integrating with various application
  • Leverage DevOps and CI/CD practices (GitHub, Terraform) to ensure the reliability and scalability of data pipelines.
  • Experience with scripting languages like Shell, Perl etc.
  • Design and build an ingestion pipeline using Rest API.
  • Experience with data modeling, data integration, and ETL processes
  • Strong knowledge of SQL and database systems
  • Familiarity with managing cloud-native databases.
  • Understanding of security integration in CI/CD pipelines.
  • Understanding of data warehousing concepts and best practices
  • Proficiency in working with large-scale data sets and distributed computing frameworks
 
 
 
Note: Visa Independent candidates are highly preferred