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Contract Gcp Data Engineer Jobs in Oregon (NOW HIRING)

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)

New

AI Engineer, Sr

Newberg, OR · On-site

$109K - $150K/yr

Support enterprise data governance by partnering with data owners to define data contracts and ... Experience with cloud platforms such as Azure, AWS or GCP beyond basic usage * Familiarity or ...

AI Engineer, Sr

Newberg, OR

$109K - $150K/yr

Support enterprise data governance by partnering with data owners to define data contracts and ... Experience with cloud platforms such as Azure, AWS or GCP beyond basic usage * Familiarity or ...

AI Engineer, Sr

Newberg, OR · On-site

$140 - $220/hr

Support enterprise data governance by partnering with data owners to define data contracts and ... Experience with cloud platforms such as Azure, AWS or GCP beyond basic usage * Familiarity or ...

Senior Staff Software Engineer, Data

OR · On-site +1

$105K - $143K/yr

Partnering with Engineering to improve upstream data quality and contracts. * Leading cross-functional initiatives that modernize and future-proof Zocdoc's data platform. * Mentoring engineers and ...

Senior Manager, Data Security

Portland, OR · On-site +1

$121K - $166K/yr

... engineering for DLP policy enforcement across endpoints, network egress, email, cloud storage, and generative AI surfaces * Build and maintain cloud data security controls across AWS, Azure, and GCP ...

Senior Infrastructure Engineer - Postgres

OR · On-site +1

$108K - $147K/yr

ClickHouse is expanding its cloud data platform across AWS, GCP, and Azure -adding new capabilities ... We're hiring a Senior SRE / Senior Infrastructure Engineer to own reliability, automation, and ...

You'll define the technical direction for the automation platform (data models, API contracts ... Build serverless or containerized services (GCP Cloud Functions, Cloud Run) that scale with usage ...

... on GCP/Kubernetes, including concurrency models, data consistency guarantees, service boundaries ... contracts across clearing, risk, and reporting systems * Architect systems that process high ...

Senior Software Engineer

Portland, OR · On-site

$100 - $130/hr

As a Senior Software Engineer at Resource Data, you will join a team of consultants leading complex ... Familiarity with cloud platforms (e.g., AWS, Azure, GCP) and modern application architectures

Sr. DevOps Engineer

Portland, OR · On-site +1

$137K - $177K/yr

Manage and maintain our cloud-based infrastructure on Google Cloud Platform (GCP), ensuring high ... data from potential threats. * Incident Response: Participate in incident response and post ...

Sr. DevOps Engineer

Portland, OR

$137K - $177K/yr

Manage and maintain our cloud-based infrastructure on Google Cloud Platform (GCP), ensuring high ... data from potential threats. * Incident Response: Participate in incident response and post ...

Showing results 41-60

Contract Gcp Data Engineer information

What is a contract GCP data engineer?

Contract GCP Data Engineers are professionals hired on a temporary or project basis to design, build, and manage data solutions using Google Cloud Platform (GCP) services. They specialize in tasks such as data ingestion, transformation, storage, and analysis using GCP tools like BigQuery, Dataflow, and Cloud Storage. These engineers work with organizations to support cloud-based data initiatives, often collaborating with data scientists, analysts, and other engineering teams. Their contract-based role allows companies to scale up cloud data operations quickly without committing to permanent hires.

What are the key skills and qualifications needed to thrive as a contract GCP data engineer?

To thrive as a Contract GCP Data Engineer, you need expertise in data engineering, ETL pipeline development, and proficiency in programming languages like Python or Java, often backed by a degree in computer science or a related field. Familiarity with Google Cloud Platform (GCP) services such as BigQuery, Dataflow, and Pub/Sub, as well as relevant certifications like Google Professional Data Engineer, is typically required. Strong problem-solving skills, effective communication, and the ability to adapt quickly to new environments set top candidates apart. These skills ensure efficient data processing, seamless collaboration, and successful project delivery within dynamic cloud-based infrastructures.

What are some common challenges contract GCP data engineers face when integrating data from multiple sources in cloud environments?

Contract GCP Data Engineers often encounter challenges with data consistency, schema mismatches, and handling large-scale data ingestion from various on-premise and cloud-based sources. Adapting to different data formats and ensuring secure, efficient data transfer are critical, especially when working with new clients or legacy systems. Collaboration with stakeholders, such as data analysts and architects, is key to clarifying requirements and troubleshooting issues quickly. Mastery of GCP tools like Dataflow, BigQuery, and Pub/Sub helps streamline integration, but staying flexible and proactive in communication is essential for success.

What is the difference between Contract Gcp Data Engineer vs Cloud Data Engineer?

AspectContract Gcp Data EngineerCloud Data Engineer
CertificationsGCP certifications (e.g., Professional Data Engineer)Cloud platform certifications (AWS, Azure, GCP)
Work EnvironmentContract roles, project-based, often remoteFull-time or contract, cloud-focused projects
Industry UsageUsed in companies leveraging GCP infrastructureUsed across multiple cloud providers, including GCP
Skills FocusGCP tools (BigQuery, Dataflow, Pub/Sub)Multiple cloud data tools, cloud architecture

The Contract Gcp Data Engineer specializes in GCP-specific data solutions on a contract basis, focusing on GCP tools and certifications. In contrast, a Cloud Data Engineer may work across various cloud platforms, with broader cloud architecture skills. Both roles require cloud data expertise but differ in platform specialization and employment type.

What are the most commonly searched types of Gcp Data Engineer jobs in Oregon?

The most popular types of Gcp Data Engineer jobs in Oregon are:

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

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

Fortis Construction
Construction • 201 - 500 employees

Full-time

Posted 3 days ago

New


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.