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Remote Gcp Data Engineer Jobs in Oregon (NOW HIRING)

Experience with SQL, data warehouses, or other database technologies * Professional experience with ... Remote Travel requirements As a digital first company, the majority of your work can be ...

Senior Software Engineer, Pricing

OR · On-site +1

$122K - $161K/yr

You will be joining a dynamic, cross-functional team that works closely with data scientists ... Remote US Time Zone Requirements - This team operates across all U.S. time zones. Travel ...

Alternatively, the RST will be collecting ground data using GNSS survey tools, water monitoring ... Developers, IT, Project Management Professionals, and more. At NV5 Geospatial, we are a ...

Experience with 1 or more public cloud platforms (AWS, Azure, GCP) * Deep understanding of attacker ... Knowledge of machine learning for threat detection #LI-remote

Together, we're delivering the data infrastructure layer that helps organizations move, transform ... Technologies You'll Use AWS, GCP, Azure, Snowflake, BigQuery, Databricks, Kafka, Grafana, Linux ...

Minimum Experience: * 1-3 years of experience in a data-related role (e.g., data analyst, data engineering intern, analytics engineer) How We Work Together * Location : Remote within the United ...

This is a remote position and we are looking to hire in the following states: AZ, FL, GA, NJ, PA ... Lead, coach, and develop a team of data engineers while establishing high standards for technical ...

Remote Department: Data Delivery and Governance Schedule: Full-Time, Days Salary: $125,689.26 ... Demonstrated passion for AI-assisted engineering practices and building inclusive, high-performing ...

Customer Engineer I

OR · Remote

$75K - $80K/yr

... remote debugging. * Analyze logs, metrics, and monitoring data to identify root causes. * Read ... Experience with at least one major cloud platform (AWS, Azure, or GCP), with exposure to a second ...

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 ...

Senior DevOps Engineer

OR · On-site +1

$129K - $166K/yr

Atlanta / Remote Must Have * Cloud Platforms: Strong hands-on experience with AWS and Azure ... Experience with data platforms (Databricks, Snowflake, Redshift) * GCP experience a plus; comfort ...

Senior Software Engineer, White Label Platform

OR · On-site +1

$122K - $161K/yr

... data, operational workflows, and program controls. * Experience with some or many of the following ... Experience with cloud platforms (AWS, GCP, Azure) and deploying applications in a cloud native ...

Showing results 41-60

Remote Gcp Data Engineer information

What are the key skills and qualifications needed to thrive as a remote GCP data engineer, and why are they important?

To thrive as a Remote GCP Data Engineer, you need expertise in data engineering concepts, SQL, Python, and a solid understanding of cloud computing, especially Google Cloud Platform (GCP) services like BigQuery and Dataflow, often supported by a relevant degree or GCP certification. Familiarity with tools such as Cloud Storage, Pub/Sub, Dataform, and workflow orchestration systems is typically required. Strong problem-solving, communication, and self-management skills set top candidates apart in remote environments. These abilities ensure efficient data processing, seamless collaboration, and successful delivery of scalable cloud-based solutions.

How does a remote GCP data engineer typically collaborate with cross-functional teams when working offsite?

As a Remote GCP Data Engineer, you will frequently collaborate with data scientists, analysts, and product teams using virtual tools such as Slack, Jira, and Google Meet. Regular stand-ups and sprint planning meetings ensure alignment on project goals and timelines. Clear documentation and version control (often via Git) are crucial for smooth handoffs and code reviews, while cloud-based development environments streamline collaborative problem-solving. Successful remote collaboration relies on proactive communication and a willingness to adapt to various team workflows.

What is the difference between Remote Gcp Data Engineer vs Remote Data Analyst?

AspectRemote Gcp Data EngineerRemote Data Analyst
Required CredentialsGCP certifications, SQL, Python, data engineering skillsData analysis certifications, SQL, Excel, visualization tools
Work EnvironmentCloud platforms, data pipelines, infrastructure managementData interpretation, reporting, visualization
Employer & Industry UsageTech, finance, healthcare companies using cloud data solutionsMarketing, business intelligence, research firms

Remote Gcp Data Engineers focus on building and maintaining data pipelines on Google Cloud Platform, requiring cloud and engineering skills. Remote Data Analysts interpret data and create reports, often using visualization tools. While both roles require SQL and data handling, Gcp Data Engineers are more technical and infrastructure-oriented, whereas Data Analysts focus on insights and presentation.

What is a remote GCP data engineer?

A Remote GCP Data Engineer is a technology professional who designs, builds, and manages data solutions using Google Cloud Platform (GCP), working from a remote location rather than an office. Their responsibilities include developing data pipelines, optimizing data storage, and ensuring efficient data processing on GCP services like BigQuery, Dataflow, and Cloud Storage. They collaborate with data scientists, analysts, and other engineers to support an organization's data needs while leveraging the flexibility of remote work.
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 Remote Gcp Data Engineer jobs in Oregon look for? The top searched job categories for Remote Gcp Data Engineer jobs in Oregon are:
What cities in Oregon are hiring for Remote Gcp Data Engineer jobs? Cities in Oregon with the most Remote Gcp Data Engineer job openings:
Infographic showing various Remote Gcp Data Engineer job openings in Oregon as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.

Senior Risk & Compliance Engineer - Data

Instacart

OR • Remote

$105K - $143K/yr

Full-time

Posted 8 days ago


Instacart rating

7.1

Company rating: 7.1 out of 10

Based on 31 frontline employees who took The Breakroom Quiz

27th of 64 rated delivery companies


Job description

Overview

Instacart's Governance, Risk and Compliance (GRC) team sits at the intersection of security, data, and business impact - and we're building an automated, engineering-grade risk program that produces real-time risk scoring, quantified exposure models, and ROI-linked investment decisions that reach the CISO, executive leadership, and the board.

We're looking for a Senior Risk & Compliance Engineer to help us get there. This is an engineering role with a data science expertise needed. You'll write production-level code, build signal ingestion pipelines, and develop probabilistic risk models that give our security organization a quantified, confidence-backed view of our risk posture - all in service of protecting Instacart's customers and products at scale.

If you're energized by the challenge of transforming a manual, reactive discipline into a data-driven, automated program - providing value  across security, engineering, and executive stakeholders while doing it - this role was built for you.

About the Job
  • Build automated signal ingestion pipelines that pull real-time data from security tooling - normalizing, enriching, and scoring raw findings into actionable, ranked risk intelligence that drives remediation decisions across the organization
  • Develop probabilistic risk models that express security exposure as probability distributions, giving leadership a quantified, confidence-backed view of breach likelihood and expected losses - connecting model outputs directly to investment decisions and board-level reporting
  • Identify systemic choke points across the attack surface - high-leverage remediation paths where a single fix eliminates risk at scale - and prioritize them by expected impact to maximize the efficiency of our security program
  • Build dashboards and data-driven insights that cascade risk visibility across security, engineering, and executive stakeholders, translating complex model outputs into language that resonates at every level of the organization
  • Support risk quantification efforts that express security exposure in financial terms, connecting model outputs to investment decisions and board-level reporting
About You

Minimum Qualifications

  • 5+ years of experience in data engineering, with demonstrated ability to write production-level code in Python and SQL (PostgreSQL, Presto, or SparkSQL) - you write production level code for internal tools and infrastructure
  • 3+ years of experience building and deploying machine learning or probabilistic models (e.g., Bayesian models) in a production environment
  • Experience building data pipelines that ingest real-time or near-real-time data across multiple formats, handling both stream and batch processing at scale
  • Experience with data modeling for classification, normalization, and risk or anomaly detection signal development
  • Experience developing metrics that inform security and business decisions

Preferred Qualifications

  • Familiarity with security risk concepts including threat intelligence enrichment pipelines, EPSS, or CISA KEV
  • Familiarity with quantitative risk frameworks such as FAIR
  • Exposure to security frameworks such as NIST CSF, SOC 2 as context for what controls the data is measuring
  • Demonstrated ability to translate risk model outputs into executive or board-level narratives
  • A genuine passion for building systems that protect customers and products, and a track record of operating effectively in fast-paced, ambiguous environments where the program is still being shaped

#LI-Remote


What Instacart employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom


Instacart logo

About Instacart

Sourced by ZipRecruiter

Instacart, based in San Francisco, CA, US, operates within the retail industry, specifically grocery delivery and pick-up service. It is recognized as a pioneer in this field, delivering fresh groceries from local stores directly to customers' doors. The company, which launched its services in 2012, continues to pioneer change in the online grocery shopping sector through its commitment to cutting-edge technology, new business ideas, and dedicated service.

Industry

Technology, communication and media

Company size

10,000+ Employees

Headquarters location

San Francisco, CA, US

Year founded

2012