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Remote Data Pipeline Jobs in Oregon (NOW HIRING)

Tebra

Data Engineer

OR · On-site +1

$114K - $137K/yr

Design, build, and maintain scalable data pipelines for feature extraction, training data ... Remote

Fieldwire

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 responsibilities for this role include: * Design, build, and maintain automated data pipelines that move data ...

Webflow

Staff Data Engineer

OR · On-site +1

$114K - $137K/yr

Remote-first (United States) * Full-time * Permanent * Exempt * The cash compensation for this role ... Design and build reliable data pipelines using Spark, Kafka, Iceberg, and Airflow/MWAA.

NinjaTrader

Sr. Data Engineer

OR · On-site +1

$100K - $150K/yr

This role is remote-friendly and reports to the Manager, Data & Analytics Engineering. As a Sr. ... This goes beyond maintaining pipelines-it's about delivering best-in-class data architecture ...

Upstart

Data Analyst, Home Lending

OR · On-site +1

They will help ensure our data pipelines, reconciliations, dashboards, and analytical packages are ... Remote Travel requirements As a digital first company, the majority of your work can be ...

Care Access

Enterprise Performance Analytics Engineer

OR · On-site +1

$80K - $110K/yr

Design, build and maintain data pipelines, data marts, and other data components needed for the ... Remote within the United States. This role requires 100% of work to be performed in a remote office ...

Parachute Health

Lead Data Analyst

OR · On-site +1

$160K - $200K/yr

Nice to have: exposure to revenue and go-to-market data - pipeline, forecasting, funnel, retention ... We are remote-first with a dedicated NYC office and reimbursement options for co-working spaces.

Climate First Bank

Data Engineer

OR · On-site +1

$114K - $137K/yr

Design and develop end-to-end data pipelines using Azure Data Factory (ADF), Azure Synapse ... Remote role within the United States; Eastern Standard Hours. * Occasional U.S. travel for company ...

Terzo

(Sr/Staff) Platform Engineer

OR · On-site +1

US - Remote Level : Senior Individual Contributor Team : Engineering The Opportunity Terzo ... This includes cloud infrastructure on Azure, data pipeline orchestration (Ray, Service Bus, CDC ...

BECU

Sr Data Engineer

OR · On-site +1

$110K - $204K/yr

... data pipelines and scalable cloud-based data solutions that enable business analytics, data ... Remote or onsite, we are committed to ensuring you are fully engaged and included in our ...

BECU

Sr Data Engineer

OR · On-site +1

$110K - $204K/yr

... pipelines and scalable cloud-based data solutions that enable operational reporting, analytics ... Remote or onsite, we are committed to ensuring you are fully engaged and included in our ...

ABC Legal Services

Remote Recruiter

OR · On-site +1

$55K - $58K/yr

... data tools and formulas * Experience creating and maintaining pipelines and talent pools in a CRM ... Remote Full-time, Monday through Friday, 8am-5pm

360training

Data Architect Manager

This is a remote position and we are looking to hire in the following states: AZ, FL, GA, NJ, PA ... Practical experience with schema evolution, metadata-driven ingestion, pipeline automation, data ...

Wheelhouse

Senior Data Engineer

OR · On-site +1

$105K - $143K/yr

Remote DNA : Demonstrated ability to work autonomously, communicate asynchronously, and manage your own "healthy hustle." Why Join Us * Own the big data pipelines in a fast-growing SaaS company.

EnableComp

Security Engineer (REMOTE)

OR · On-site +1

Design, build, and deploy security controls across web applications, data pipelines, APIs, and Agentic AI systems to ensure confidentiality, integrity, and availability. * Implement secure-by-design ...

Instacart

Senior Data Engineer II, Finance

OR · On-site +1

$105K - $143K/yr

This is a high impact, high visibility role owning critical data integration pipelines and models ... Experience with SOX controlled data systems. #LI-Remote

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All JobsData Pipeline JobsRemote Data Pipeline JobsRemote Data Pipeline Jobs in Oregon

Remote Data Pipeline information

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

AspectRemote Data PipelineData Engineer
Required SkillsData integration, ETL tools, scriptingDatabase management, programming, data architecture
Work EnvironmentRemote, cloud-based platformsOn-site or remote, enterprise environments
CertificationsCloud certifications, data toolsData management, cloud certifications
Industry UsageTech, finance, healthcareTech, finance, healthcare

Remote Data Pipelines focus on building and maintaining automated data workflows in cloud environments, often requiring scripting and data integration skills. Data Engineers design and develop comprehensive data systems, including databases and data architecture, with broader responsibilities. Both roles are vital in data-driven industries and often overlap, but Data Engineers typically have a wider scope and require more extensive technical expertise.

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

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

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Remote Data Pipeline jobs near you

Data Engineer

Tebra

OR • On-site, Remote

$114K - $137K/yr

Full-time

Re-posted 12 days ago

Key responsibilities

  • Build, maintain, and optimize scalable data pipelines for feature extraction, training data generation, and model monitoring.

  • Develop and enhance data systems supporting analytics and machine learning workloads, including data lakehouse and feature store technologies.

  • Monitor production data pipelines, identify data quality issues or failures, and implement improvements to ensure reliability and data freshness.

Job description

About the Role

As a Data Engineer focused on AI/ML, you'll build, maintain, and optimize the data infrastructure that powers Tebra's intelligent features. You'll partner closely with Machine Learning Engineers, Data Scientists, and Software Engineers to transform complex healthcare data into high-quality datasets and real-time features that enable machine learning models.

This is a hands-on engineering role where you'll contribute to scalable data pipelines, improve data quality, and help ensure our AI systems are powered by reliable, performant, and well-governed data. You'll work on modern data platforms and gain experience building solutions that support both model training and production inference.

Your Area of Focus
  • Design, build, and maintain scalable data pipelines for feature extraction, training data generation, and model monitoring.
  • Develop and enhance data systems that support analytics and machine learning workloads, including data lakehouse and feature store technologies.
  • Monitor production data pipelines, identify data quality issues or pipeline failures, and implement improvements to ensure reliability and freshness.
  • Participate in engineering design discussions and contribute to technical decisions around data architecture and pipeline implementation.
  • Build reusable data engineering components, including automated data quality checks, schema validation, and testing frameworks.
  • Translate business requirements into scalable data solutions that enable analytics and machine learning use cases.
  • Optimize SQL queries, Spark workloads, and data processing pipelines to improve performance and scalability.
  • Collaborate with ML Engineers and cross-functional partners to support MLOps best practices, including data versioning, lineage, and reproducibility.
  • Break down technical work into manageable tasks and deliver high-quality solutions within an agile team.
Your Professional Qualifications
  • 3+ years of professional experience in Data Engineering, Software Engineering, or a related field.
  • 2+ years of hands-on experience building and maintaining production data pipelines supporting analytics, reporting, or machine learning workloads.
  • Strong proficiency in Python and SQL with experience developing production-quality data pipelines.
  • Experience with modern data processing technologies such as Spark, Airflow, Kafka, or similar distributed data platforms.
  • Experience working with cloud-based data platforms such as Databricks, Snowflake, Delta Lake, or equivalent lakehouse technologies.
  • Understanding of data modeling, data warehousing, and data governance best practices.
  • Familiarity with machine learning data workflows, including training datasets, feature engineering, and data quality concepts.
  • Experience deploying and supporting production data pipelines with monitoring, testing, and CI/CD practices.
  • Strong problem-solving skills, attention to detail, and the ability to collaborate effectively across engineering and product teams.
  • Excellent communication skills and a desire to continuously learn new technologies and engineering practices.

#LI-SS1 #LI-Remote

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