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Remote Data Platform Engineer Jobs in Oregon (NOW HIRING)

This is a remote position and we are looking to hire in the following states: AZ, FL, GA, NJ, PA ... engineers, reviewing designs, and driving best practices across the data platform. * Establish ...

Chief Digital & Data Officer Location: United States (Remote) Interested applicants must reside in ... Collaborating with data architects, platform and DevOps engineering teams, product leaders, and ...

Data Engineer

OR · On-site +1

$114K - $137K/yr

You'll work on modern data platforms and gain experience building solutions that support both model ... Remote

Lead Platform Developer

$59 - $77.25/hr

Data platform familiarity: CDC, streaming ETL, lakehouse/warehouse patterns. * Reliability practices: SRE, SLOs/error budgets, chaos engineering. * Regulated environments (e.g., SOC 2, HIPAA, PCI-DSS ...

Data Engineer

OR · On-site +1

$120K - $150K/yr

This is a fully remote role based in the United States. What you'll be doing The primary ... Experience with cloud data platforms (e.g. Snowflake, BigQuery, Redshift, Databricks) * Familiarity ...

You'll work on distributed systems that integrate third-party financial data providers, machine ... Remote Travel requirements As a digital first company, the majority of your work can be ...

Data Scientist

OR · On-site +1

Engineering About Terzo Terzo builds an AI-native enterprise data platform designed to power the commercial and financial operating system of modern companies. The platform transforms complex ...

A Software Engineer in Platform Operations is responsible for helping design, build, and operate ... This is a full-time, remote position based in the United States. If located near an office, you are ...

Excellent communication in a remote, distributed environment, with a bias toward documentation ... Prior experience in SRE, platform engineering, or DevOps roles where you owned infrastructure for ...

Principal Data Engineers establish the data foundation of Cotiviti's clinical AI platform-the pipelines, infrastructure, and clinical data models that make production-grade AI systems possible in a ...

As a Senior Data Security Engineer, you'll play a direct role in shaping how our most sensitive ... Experience partnering closely with database administrators or data platform teams #LI-Remote This ...

Data Engineer I, II

Portland, OR · On-site +1

$78K - $110K/yr

Contribute to data platform modernization initiatives, including assisting with migrations to cloud ... A reliable, high-speed, hard-wired internet connection required to support remote or hybrid work.

Showing results 21-40

Remote Data Platform Engineer information

See Oregon salary details

$47K

$137.1K

$187.7K

How much do remote data platform engineer jobs pay per year?

As of Aug 15, 2026, the average yearly pay for remote data platform engineer in Oregon is $137,147.00, according to ZipRecruiter salary data. Most workers in this role earn between $121,100.00 and $145,400.00 per year, depending on experience, location, and employer.

What is the difference between Remote Data Platform Engineer vs Data Engineer?

AspectRemote Data Platform EngineerData Engineer
CredentialsBachelor's in CS, Data Science, or related; experience with cloud platformsBachelor's in CS, Data Science, or related; experience with databases and ETL tools
Work EnvironmentRemote or hybrid, collaborating with data teams and cloud providersOn-site or remote, focusing on data pipelines and infrastructure
Industry UsageTech, finance, healthcare, and other data-driven sectorsSame industries, often overlapping roles
Search & Comparison IntentHigh overlap, often searched together due to similar skills

The Remote Data Platform Engineer focuses on building and maintaining cloud-based data platforms, ensuring scalability and performance. Data Engineers develop and manage data pipelines, databases, and ETL processes. While roles overlap in skills and industries, the Platform Engineer emphasizes cloud infrastructure, whereas Data Engineers concentrate on data processing and storage.

What are the key skills and qualifications needed to thrive as a remote data platform engineer?

To thrive as a Remote Data Platform Engineer, you need expertise in data engineering, database management, and cloud platforms, usually supported by a degree in computer science or a related field. Familiarity with tools such as SQL, Python, Spark, AWS, Azure, and certifications like AWS Certified Data Analytics are highly valued. Strong problem-solving, communication, and self-motivation skills help you excel in remote, collaborative environments. These skills and qualities ensure the efficient design, operation, and scaling of robust data platforms that drive business insights and operations.

What are the typical collaboration methods for a remote data platform engineer working with cross-functional teams?

As a Remote Data Platform Engineer, you will frequently collaborate with data scientists, analysts, and software engineers through virtual meetings, project management tools, and shared documentation platforms. Effective communication is essential, as much of the teamwork happens asynchronously using tools like Slack, Jira, and Confluence. You may participate in regular stand-ups, sprint planning, and code reviews to ensure alignment across the team. Building strong relationships remotely often involves proactive updates and clear documentation to keep all stakeholders informed and projects moving smoothly.

What is a remote data platform engineer?

A Remote Data Platform Engineer is a professional who designs, builds, and manages large-scale data infrastructure and platforms, while working remotely. They are responsible for ensuring data is efficiently collected, stored, processed, and made accessible for analysis, often using cloud technologies and big data tools. These engineers collaborate with data scientists, analysts, and other engineers to maintain data pipelines and optimize system performance. Their work enables organizations to leverage data for business insights, all while enjoying the flexibility of remote work.

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

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

What are popular job titles related to Remote Data Platform Engineer jobs in Oregon?

For Remote Data Platform Engineer jobs in Oregon, the most frequently searched job titles are:

What job categories do people searching Remote Data Platform Engineer jobs in Oregon look for?

The top searched job categories for Remote Data Platform Engineer jobs in Oregon are:

What cities in Oregon are hiring for Remote Data Platform Engineer jobs?

Cities in Oregon with the most Remote Data Platform Engineer job openings:

Infographic showing various Remote Data Platform Engineer job openings in Oregon as of July 2026, with employment types broken down into 60% Full Time, and 40% Contract. Highlights an 100% Remote job distribution, with an average salary of $137,147 per year, or $65.9 per hour.

Full-time

Medical, Dental, Vision, Life, Retirement

Re-posted 14 days ago


Job description

360training
At 360training, we’re more than an online training provider—we’re on a mission to empower people and organizations to thrive. As a fast-growing leader in online and live training across multiple industries, we deliver regulatory-approved training and certifications that power careers and businesses.
Our culture is grounded in two values: Deliver Results and Do the Right Thing. We operate as a collaborative, performance-driven organization where data plays a critical role in shaping strategy and outcomes. If you’re excited to turn analytics into impact and influence meaningful decisions, 360training is the place for you.
This is a remote position and we are looking to hire in the following states:
AZ, FL, GA, NJ, PA, TN, TX, UT, ID, MI, MO and WI
THERE IS NO VISA SPONSORSHIP FOR THIS ROLE
Role Summary
360training is looking for a hands-on data platform leader to help modernize our data architecture and build the foundation for AI, analytics, and trusted reporting.
This role will help design and deliver a modern cloud data platform, with an emphasis on the Azure ecosystem, while bringing strong experience from modern platforms such as Microsoft Fabric, Databricks, Snowflake, Synapse, AWS, or similar technologies. The right candidate is both technical and practical: someone who can set architecture patterns, guide engineers, improve legacy data environments, and personally dive into implementation details when needed.
This is not a traditional BI reporting role. We need someone who understands modern data platforms, AI-ready data architecture, medallion or lakehouse design patterns, governance, schema evolution, and how to create reliable data products that can support reporting, analytics, applications, data science, and AI-enabled workflows.
Responsibilities
  • Lead the design and implementation of modern cloud data-platform capabilities, with a primary focus on Azure-based architecture and delivery.
  • Lead, coach, and develop a team of data engineers while establishing high standards for technical excellence and delivery
  • Provide technical leadership by making architectural decisions, mentoring engineers, reviewing designs, and driving best practices across the data platform.
  • Establish practical patterns for ingestion, transformation, medallion-style data layers, data quality, lineage, governance, security, testing, and consumption.
  • Build scalable approaches for onboarding new sources, tables, columns, attributes, and acquired-company data without creating brittle one-off solutions.
  • Create governed data products that can support Power BI, analytics, operational reporting, data science, AI search, summarization, predictive analytics, and future agent-based workflows.
  • Move business logic, metric definitions, and reusable transformations into governed, version-controlled platform layers rather than scattered reports, spreadsheets, scripts, or stored procedures.
  • Partner with BI, analytics, engineering, product, finance, and business teams to improve data trust, reporting reliability, platform usability, and delivery speed.
Required Experience
  • 7+ years of experience in data engineering, data architecture, analytics engineering, or cloud data-platform delivery.
  • Experience serving as the technical authority for enterprise data platforms, balancing hands-on delivery with mentoring, design reviews, and long-term architectural direction.
  • Hands-on experience building or modernizing cloud data platforms using Azure, Microsoft Fabric, Databricks, Snowflake, Synapse, AWS, or similar technologies.
  • Strong understanding of lakehouse, medallion, data warehouse, and data modeling patterns, including when dimensional modeling is useful and when it should not drive the entire architecture.
  • Experience with tools such as Azure Data Lake, Azure Data Factory, Microsoft Fabric, Databricks, Synapse, Power BI, Purview, dbt, Snowflake, SQL, Python, Delta Lake, or similar technologies.
  • Practical experience with schema evolution, metadata-driven ingestion, pipeline automation, data quality checks, lineage, security, access control, documentation, and observability.
  • Experience preparing enterprise data for AI-enabled use cases, such as governed data access, semantic consistency, search, summarization, data science, predictive analytics, or agent-based workflows.
  • Strong SQL skills and the ability to design, review, debug, and optimize data pipelines, models, and transformations.
  • Experience improving legacy data environments with complex pipelines, inconsistent definitions, fragmented reporting logic, Power BI dependencies, stored procedures, or manual processes.
  • Ability to lead technical execution while communicating clearly with business and technology stakeholders.
  • Hands-on leadership style with the ability to set standards, guide a small team, and still build, review, troubleshoot, and deliver directly when needed.
We Offer Great Benefits:
  • Competitive salary and annual bonus
  • Flexible time off and company recognized holidays
  • 401k Pension Plan with company match contributions
  • Short-Term and Long-Term Disability
  • Life Insurance- Basic, Voluntary, and AD amp;D
  • Healthcare- Medical, Dental, Vision, and MDLive
  • Flexible spending amp; Health Savings Accounts (HSA)
  • Employee Assistance Program (EAP