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Internship Gcp Data Engineer Jobs in Oregon (NOW HIRING)

Cloud and hybrid security engineering (AWS, Azure, GCP). * Data protection technologies. * Secure third-party and vendor integrations. * Maintain secure connectivity between on-prem and cloud ...

... 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 ...

OR · On-site

$110 - $160/hr

Information Security Engineer III The Information Security Engineer III is responsible for managing ... GCP), data protection, security automation scripting. Benefits Competitive salary, bonus ...

By combining world-class engineering, industry expertise and a people-centric mindset, we consult ... Cloud Platform (GCP) and optimizing cloud-native data architectures. * Healthcare, kidney care ...

A Field Engineer will partner with a Technical Account Manager to create a guided customer journey ... data services including Amazon Web Services (AWS), Microsoft Azure, and Google Cloud Platform (GCP)

Databento is the market data platform for modern finance. The company provides real-time and ... Prior internship experience or 2+ years in full-time systems engineering or infrastructure roles.

Databento is the market data platform for modern finance. The company provides real-time and ... Prior internship experience or 2+ years in full-time systems engineering or infrastructure roles.

Senior Software Engineer

Portland, OR · On-site

$90 - $120/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

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 ...

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 21-40

Internship Gcp Data Engineer information

What does an internship GCP data engineer do?

An Internship GCP Data Engineer assists with designing, developing, and managing data solutions on Google Cloud Platform (GCP). They typically help build and maintain data pipelines, process large datasets, and collaborate with teams to ensure data integrity and availability. Interns often learn and apply skills related to GCP services like BigQuery, Dataflow, and Cloud Storage, while gaining experience in data engineering best practices. This role is ideal for students or recent graduates looking to start a career in cloud-based data engineering.

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

To thrive as an Internship GCP Data Engineer, you need a strong foundation in computer science, data management, and familiarity with cloud computing concepts, often supported by coursework or relevant certifications. Experience with Google Cloud Platform (GCP) services like BigQuery, Dataflow, and Cloud Storage, as well as proficiency in Python or SQL, is typically required. Strong problem-solving skills, eagerness to learn, and effective communication make candidates stand out in collaborative and fast-paced environments. These skills are essential for efficiently managing data pipelines, ensuring data integrity, and contributing to team-driven cloud projects.

What types of projects and responsibilities can I expect as an internship GCP data engineer?

As an Internship GCP Data Engineer, you can expect to work on hands-on projects involving data ingestion, transformation, and storage using Google Cloud Platform tools such as BigQuery, Dataflow, and Cloud Storage. Typical responsibilities include assisting with data pipeline development, optimizing queries, and supporting data integration efforts. You'll likely collaborate closely with senior data engineers, analysts, and cross-functional teams to ensure data quality and meet project objectives. This role offers a valuable opportunity to gain real-world experience in cloud-based data engineering while learning best practices from experienced professionals.

What is the difference between Internship Gcp Data Engineer vs Gcp Data Engineer?

AspectInternship Gcp Data EngineerGcp Data Engineer
CredentialsTypically pursuing or recent graduate, no required certificationsProfessional certification like Google Cloud Professional Data Engineer often preferred
Work EnvironmentInternship setting, supervised, learning-focusedFull-time, independent project work, more responsibility
Employer & Industry UsageInternship programs in tech companies, startups, or consulting firmsFull-time roles in tech companies, data-driven organizations

The main difference is that an Internship Gcp Data Engineer is a learning position with limited responsibilities, while a Gcp Data Engineer is a full-time professional role requiring experience and certifications. Internships serve as entry points into the industry, whereas Gcp Data Engineers handle complex data projects independently.

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 cities in Oregon are hiring for Internship Gcp Data Engineer jobs?

Cities in Oregon with the most Internship Gcp Data Engineer job openings:

Senior Software Engineer- Big Data & MCP, Data Foundations

RevSpring Inc

Portland, OR

$59 - $78.25/hr

Full-time

Re-posted 18 days ago


Job description

Job Title: Senior Software Engineer- Big Data amp; MCP, Data Foundations
Job Summary:
Essential Functions:
  • Collaborate and Innovate: Partner with product managers, data engineers, and business leaders to translate complex product and data requirements into scalable, reliable data pipelines and the search experiences they power.
  • Architect Data Pipelines: Design, build, and optimize large-scale distributed batch and streaming pipelines (using Apache Airflow, Apache Beam/Dataflow, and DBTon BigQuery) to ingest, model, and transform high-volume healthcare data into clean, well-tested, query-ready datasets and search indices.
  • Build Data Models amp; Backend Services: Develop resilient Python services and DBT models that power data delivery and self-service analytics, including Model Context Protocol (MCP) servers that expose curated data and tooling to downstream and AI consumers, and integrate with external REST/SOAP APIs and third-party data sources.
  • Optimize Data amp; Search Performance: Deeply tune pipeline throughput, data warehouse performance, and search indexing — optimizing BigQuery cost and query performance and Elasticsearch index design to ensure data freshness, relevance, and scalability across high-volume datasets.
  • Drive Engineering Excellence: Write clean, maintainable, well-tested code and lead by example through rigorous code reviews, architectural and data-modeling design discussions, and mentoring, driving a culture of high-quality software and trustworthy data.
  • Pioneer New Technologies: Stay at the forefront of modern data engineering, the analytics-engineering ecosystem (e.g., DBT, BigQuery), and information retrieval, proactively applying these advancements to strengthen our data platform and the products it powers.
Minimum Requirements:
Specific Job Skills:
  • Data Engineering: Proven experience designing and orchestrating large-scale ETL/ELT pipelines using Apache Beam/Google Cloud Dataflow (or similar), and DBT, built on modern cloud data warehouses. BigQuery experience is a plus.
  • Databases amp; SQL: 4+ years of experience working with relational databases and analytical data warehouses, with deep, advanced SQL skills and solid data-modeling fundamentals (e.g., dimensional and normalized modeling).
  • Search amp; Indexing: Working experience with search indexing and Elasticsearch, including index management, mappings, and building and maintaining search indices from pipeline output. Familiarity with hybrid (BM25 + semantic/vector) search is a plus.
  • Backend amp; Data Services: Experience building scalable Python services and high-performance data APIs, including developing Model Context Protocol (MCP) servers that expose data and tooling to downstream and AI consumers.
  • Infrastructure amp; DevOps: Strong understanding of containerization (Docker), CI/CD methodologies (e.g., GitHub Actions), Git, Infrastructure as Code (e.g., Terraform/Pulumi), and managing services within cloud platforms (3+ years of GCP experience preferred).
  • Familiarity with healthcare data standards (e.g., NPPES/NPI registries, NUCC Provider Taxonomy, machine-readable files (MRFs) for cost transparency, and FHIR).
  • Experience with data quality and pipeline testing frameworks (e.g., dbt tests, Great Expectations) and streaming/event ingestion (e.g., Pub/Sub, Kafka).
  • Experience integrating graph-based data and healthcare taxonomy ontologies to enrich datasets and search query context.
  • Experience with observability and logging platforms (e.g., DataDog) for monitoring pipeline health and data freshness.
Education: Bachelor’s Degree
Experience: 5+ years of professional experience with Python, with strong software-engineering fundamentals (testing, code review, design). 3+ years experience with Java or another JVM language is also high desired, particularly for Beam/Dataflow.
Supervision: N/A
Certifications: N/A
Language Skills:
Ability to read, analyze and interpret general business periodicals, professional journals, technical procedures or governmental regulations. Ability to write reports, business correspondence and procedure manuals. Ability to effectively present information and respond to questions from a variety of both internal and external sources.
Physical Capabilities: Standard categories
The physical capabilities described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.
While performing the duties of this job, the employee is regularly required to sit; use hands to finger, handle, or feel; reach with hands and arms; and talk or hear. The employee is occasionally required to stand and walk. The employee must occasionally lift and/or move up to 10 pounds. Specific vision abilities required by this job include close vision, distance vision, color vision, peripheral vision, depth perception, and ability to adjust focus.
RevSpring is an equal opportunity employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status.
Note: This Job Description may not describe all of the job responsibilities and standards assigned to this position. The duties may change from time to time. RevSpring does not discriminate against any group in hiring or employment practices. Nothing in this job description constitutes a contract for employment.