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Entry Level Gcp Data Engineer Jobs in Portland, OR

Fortis Construction

DATA ENGlNEER

Portland, OR · On-site

REQUIRED QUALIFICATIONS * 2+ years of experience in a data engineering role. * Bachelor's degree in ... Experience with cloud computing and virtualization technologies (e.g., AWS, Azure, GCP)

Pwc

AI & GenAI Data Scientist - Manager

Portland, OR

$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 ...

PacifiCorp

Energy Supply Data Scientist (I&II)

Portland, OR · On-site

$77K - $122K/yr

... GCP, or Azure for deploying and managing ML models, specifically using Azure Databricks, Azure Machine Learning Studio, Azure Data Factory * Experience using Azure DevOps and Git for version control

LanceSoft, Inc.

API Developer

Portland, OR · On-site

... GCP). • Implement robust security measures including authentication (OAuth 2.0, JWT, API keys ... data formats (REST, SOAP, JSON, XML). • Hands-on experience with API gateways and management ...

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Entry Level Gcp Data Engineer information

See Portland, OR salary details

$47.2K

$137.6K

$188.2K

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

As of Sep 9, 2026, the average yearly pay for entry level gcp data engineer in Portland, OR is $137,565.00, according to ZipRecruiter salary data. Most workers in this role earn between $121,400.00 and $145,800.00 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 Portland, OR?

The most popular types of Gcp Data Engineer jobs in Portland, OR are:

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

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

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

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

Entry Level Gcp Data Engineer jobs near you
Infographic showing various Entry Level Gcp Data Engineer job openings in Portland, OR as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 12% Part Time, and 4% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $137,565 per year, or $66.1 per hour.

DATA ENGlNEER

Portland, OR • On-site

Fortis Construction
Construction • 201 - 500 employees
Learn more about Fortis Constructionexternal

Full-time

Posted 12 days ago

Key responsibilities

  • Design, build, and maintain data pipelines and data processing systems.

  • Develop and maintain data APIs and ETL processes.

  • Work with data scientists and analysts to support data-driven solutions.

Job description

Job Description:

The DATA ENGlNEER is responsible for designing, building, and maintaining the infrastructure and systems that support the collection, processing, and storage of data. They work with large datasets and develop data pipelines that move data from source systems to data warehouses, data lakes, and other data storage and processing systems. The DATA ENGlNEER also develops and maintains data APIs, ETL processes, and data integration systems.

  • Design, build, and maintain data pipelines and data processing systems.

  • Develop and maintain data APIs and ETL processes.

  • Implement data quality and data governance policies and procedures.

  • Work with data scientists and other analysts to support the development and implementation of data-driven solutions.

  • Stay up to date on the latest data technologies and trends.

  • Assist in other duties as assigned, relevant to the achievement of the position's and team's objectives.

REQUIRED QUALIFICATIONS

  • 2+ years of experience in a data engineering role.

  • Bachelor's degree in computer science, Information Technology, or a related field, or equivalent experience.

  • Strong knowledge of data processing technologies and tools.

  • Experience with data warehousing and data lake technologies.

  • Experience with data modeling and data quality.

  • Experience with cloud computing and virtualization technologies (e.g., AWS, Azure, GCP).

  • Excellent problem-solving and analytical skills.

  • Ability to work independently and as part of a team.

  • Must possess a valid driver's license and a satisfactory driving record in accordance with Fortis policy.

PREFERRED QUALIFICATIONS

  • Experience with machine learning and artificial intelligence technologies.

  • Experience with big data processing technologies.

  • Experience with data visualization and reporting tools.

PHYSICAL REQUIREMENTS

  • Work is performed in a professional office environment. Role is stationary, often standing or sitting for long periods of time, utilizing standard office equipment such as computers, phones, photocopiers, etc. Communication with internal and external contacts, including speaking and hearing is required. May occasionally push, pull or lift up to 25 lbs.

TRAVEL REQUIREMENTS

  • All Fortis positions require some level of driving.

RQ-0776 DATA ENGlNEER (Open)

The above description is intended to identify the essential functions and requirements for the performance of this job; it is not to be construed as a complete statement of duties, responsibilities or requirements. All jobs require behaviors consistent with our Core Values and Culture. The employee must be able to perform the essential functions of the position satisfactorily and, if requested, reasonable accommodations could be made to enable employees with disabilities to perform the essential functions of the role, absent undue hardship. Fortis Construction, Inc. reserves the right to revise the job description at any time.


Fortis is an Equal Employment Opportunity employer. We adhere to a policy of making employment decisions without regards to race, color, religion, sex, age, disability or any other protected categories. It is our intention that all qualified applicants be given an equal opportunity and that selection decisions be based on job-related factors.

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