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Remote Snowflake Jobs in Oregon (NOW HIRING)

Agentic AI, Snowflake * SQL Server (T-SQL, query-heavy, not ORM) * PostgreSQL (read-only, for the ... Flexibility, with remote and hybrid work options (country-dependent) * Career advancement, with ...

Senior AI Automation Engineer

OR · On-site +1

$103K - $136K/yr

Partner with stakeholders to design corporate systems (Salesforce, NetSuite, Snowflake, Slack, etc ... Remote

Relevant certifications in Salesforce, Snowflake, Boomi, or enterprise architecture are preferred. Working Conditions: * Onsite, Hybrid, or Remote depending on location. * Occasional travel may be ...

Senior Program Manager, AI & Data

OR · On-site +1

$115K - $116K/yr

Familiarity with modern data stacks (e.g., Snowflake, AWS/Azure/GCP, modern BI, ML platforms), including risks and trade-offs. * Foundational: Prior experience leading remote, multi-geo teams ...

$52.25 - $72/hr

This is a remote position. Responsibilities: * The role of the python developer will be to build ... Experience with Snowflake. * Experience with Airflow. * Experience with Splunk. * Experience with ...

Developer

Portland, OR · On-site +1

$40 - $45/hr

E ● Maintain current knowledge of Snowflake capabilities, cloud data engineering trends, emerging ... Remote Work Eligibility Onsite Skills etl, api, pub/sub, dbt, SQL, ELT/ETL, Cloud environments (AWS ...

This is a remote position and we are looking to hire in the following states: AZ, FL, GA, NJ, PA ... Snowflake, Synapse, AWS, or similar technologies. The right candidate is both technical and ...

Developer

Portland, OR · On-site +1

E ● Maintain current knowledge of Snowflake capabilities, cloud data engineering trends, emerging ... Remote Work Eligibility Onsite Skills etl, api, pub/sub, dbt, SQL, ELT/ETL, Cloud environments (AWS ...

Senior Data Engineer

OR · On-site +1

$105K - $143K/yr

You will strengthen and scale our Python and Snowflake-based infrastructure, building the core capabilities required to support dynamic analytics and our transition toward more automated, self ...

Applied AI Solutions Architect

OR · On-site +1

$63 - $83/hr

Experience with modern cloud, data, and AI ecosystems such as Snowflake, Databricks, AWS, Azure ... Remote-First Work Environment * 401k plan with company match * Dental and Vision insurance * Home ...

Co-Sell with Anthropic, Snowflake, AWS, and other ecosystem partners to sell transformative data ... Remote-First Work Environment * A casual, award-winning small-business work environment * A culture ...

Solutions Architect

OR · On-site +1

$63 - $83/hr

Strong cloud experience across AWS, Azure, and the Snowflake ecosystem, including services such as ... We are a remote-first company, and you should be comfortable working with a distributed global team.

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Remote Snowflake information

See Oregon salary details

$37

$71

$89

How much do remote snowflake jobs pay per hour?

As of Sep 6, 2026, the average hourly pay for remote snowflake in Oregon is $71.48, according to ZipRecruiter salary data. Most workers in this role earn between $63.27 and $81.06 per hour, depending on experience, location, and employer.

What is a remote Snowflake?

A Remote Snowflake job involves working with Snowflake, a cloud-based data platform, in a remote setting. Professionals in these roles typically design, develop, and manage data solutions using Snowflake's architecture, SQL, and integration tools. Common responsibilities include data modeling, optimizing queries, and ensuring data security. Employers look for experience in cloud platforms like AWS, Azure, or GCP, along with expertise in ETL processes and analytics. These roles offer flexibility while requiring strong collaboration with data engineers and analysts.

What are the key skills and qualifications needed to thrive in the remote Snowflake position?

To thrive as a Remote Snowflake Data Engineer or Developer, you typically need strong SQL skills, data modeling expertise, and experience with Snowflake's cloud data platform, often supported by a background in computer science or a related field. Familiarity with ETL/ELT tools, cloud platforms (such as AWS, Azure, or Google Cloud), and relevant certifications like SnowPro Core Certification are highly valued. Excellent communication, problem-solving skills, and the ability to work independently are essential for remote collaboration and project delivery. These competencies ensure that you can design, implement, and optimize data solutions efficiently while contributing effectively to distributed data teams.

What are typical challenges faced by remote Snowflake professionals, and how can they be addressed?

Remote Snowflake professionals often face challenges related to cross-team communication, data security, and managing complex cloud-based architectures across different time zones. Staying organized and setting clear documentation practices can help mitigate misunderstandings when collaborating on data modeling or ETL processes. Since troubleshooting and optimizing data pipelines may require quick responses, proactive communication and establishing overlapping work hours with the team are beneficial. Additionally, investing in continuous education on Snowflake updates and security best practices helps prevent issues and supports career growth in the evolving cloud data landscape.

Does Remote Snowflake have a work-from-home policy?

Remote Snowflake positions typically offer a work-from-home or remote work option, allowing employees to perform their duties outside of a traditional office setting. The specific remote work policy may vary by role and team, but remote work is common for roles involving data management, cloud platforms, and collaboration tools. Candidates should review the job listing or contact the employer for detailed policy information.

Does remote Snowflake hire remotely?

Remote Snowflake roles are often available, as the company supports remote work for many positions, especially those related to data engineering, analytics, and cloud infrastructure. Candidates should review specific job postings for location requirements and remote work policies, which can vary by role and team. Skills in Snowflake, SQL, and cloud platforms are typically essential for these positions.

What are the most commonly searched types of Snowflake jobs in Oregon?

The most popular types of Snowflake jobs in Oregon are:

What job categories do people searching Remote Snowflake jobs in Oregon look for?

The top searched job categories for Remote Snowflake jobs in Oregon are:

What cities in Oregon are hiring for Remote Snowflake jobs?

Cities in Oregon with the most Remote Snowflake job openings:

Infographic showing various Remote Snowflake job openings in Oregon as of August 2026, with employment types broken down into 88% Full Time, 7% Part Time, and 5% Contract. Highlights an 72% Physical, 8% Hybrid, and 20% Remote job distribution, with an average salary of $148,676 per year, or $71.5 per hour.

Senior Data Engineer (GCP Python Iceberg Delta Lake Kafka Snowflake Databricks)

Railroad19, Inc

OR • On-site, Remote

$120K - $180K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 17 days ago


Job description

Railroad19, Inc is seeking a Senior Data Engineer with deep, handson experience in building modern lakehouse architectures on GCP. This role focuses on designing, developing in Python & Spark, and delivering reusable datasharing adapters that connect BigQuerybacked data products to Snowflake and Databricks using Iceberg UniForm and Delta Sharing.

About Railroad19:

At Railroad19, Inc, we develop customized software solutions and provide software development services. We're a specialized team of developers and architects. As such, we only bring an "A" team to the table, through hard work and a desire to lead the industry - this is our company culture - this is what sets Railroad19 apart.

As a Railroad19 employee, you will be part of a company that values your work and gives you the tools you need to succeed. Our headquarters is in Saratoga Springs, New York, but this position is 100% remote. Railroad19 provides competitive compensation and excellent benefits, including Medical/Dental/Vision/Pet Insurance, Paid Time Off, and 401 (k).

NO 1099, C2C, Corp-to-Corp; only full-time employment.

NO Agencies.

Core Responsibilities:
  • Design and implement the UniForm write layer (Delta + Iceberg dual metadata).
  • Build GCS BigQuery ingestion pipelines for structured operational datasets.
  • Develop and implement in Python and Spark.
  • Implement Kafka-based CDC patterns for real-time and near-real-time ingestion.
  • Develop data lineage, dependency tracking, and modular adapter code.
  • Configure Snowflake Horizon external tables for zero-copy reads.
  • All data hub tables are to be written once using Delta Lake with Iceberg UniForm enabled... readable by all target consumers without conversion.
  • Implement and certify Delta Sharing endpoints for Databricks consumers.
  • Build governed access layer components: RBAC, connector registry entries, tenant-scoped authorization.
  • Align semantic layer models with LookML and KPI catalog definitions.
  • Collaborate with crossfunctional teams to deliver endtoend features.
  • Troubleshoot issues across the full stack and contribute to code quality.
Skills/Experience:
  • 6+ years of proven enterprise-level experience in Python & Spark
  • Advanced experience in GCP BigQuery
  • Strong working knowledge of Apache Iceberg, Delta Lake, Iceberg UniForm
  • Experience with Delta Sharing; Kafka / CDC pipelines
  • Specific work experience in Snowflake Horizon Catalog; Databricks Unity Catalog
  • Solid experience with Data lake architecture & ingestion pipeline design
  • Excellent Communication skills and the ability to work cohesively with multiple teams.
Preferred Experience - Nice to Have
  • Prior delivery in enterprise SaaS, media, or advertising technology.
  • Active daily use of AI-assisted development tools (Claude Code preferred).
$120,000 - $180,000 a year
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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