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Remote Oracle Data Engineer Jobs in Oregon (NOW HIRING)

Tebra

Data Engineer

OR · Remote

$114K - $137K/yr

About the Role As a Data Engineer focused on AI/ML , you'll build, maintain, and optimize the data ... Remote

Fieldwire

Data Engineer

OR · Remote

$120K - $150K/yr

This is a fully remote role based in the United States. What you'll be doing The primary ... our next Data Engineer to have the following skills and experiences Core qualifications and ...

Cotiviti

Data Engineer - AI

$101K - $132K/yr

... Oracle, MS SQL, Vertica, etc.) and experience using SQL, PL/SQL or other data integration/ETL tools ... REMOTE #LI-LL1 #SENIOR Employment Type: OTHER

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. Data Engineer, your primary responsibility is to stay one step ahead of your fellow team members by ...

Netflix

Data Engineer (L5)

OR · On-site +1

$380K - $610K/yr

Data Engineering at Netflix is a role that requires building systems to process data efficiently ... remote in the US with occasional visits to Los Gatos) depending on the team your skills are most ...

Cotiviti

Data Engineer - Operations Focus

$80K - $112K/yr

... Oracle, MS SQL, Vertica, etc.) and experience using SQL, PL/SQL or other data integration/ETL tools ... Remote#LI-MJ1#SeniorEmployment Type: OTHER

LMI

Data Engineer - Clearance Required

$101K - $170K/yr

Overview LMI seeks an experienced Data Engineer to support the U.S. Army's Holistic Health ... This position may be performed in a remote or hybrid capacity. * Travel: Limited travel to Fort ...

Roseburg Forest Products

BI Data Engineer

Springfield, OR · On-site +1

$52.75 - $68.50/hr

Description Purpose The BI (Business Intelligence) Data Engineer will be responsible for designing ... Hands on experience with SQL and non-SQL databases like Oracle, SQLServer, or similar * Hands on ...

LMI

Data Engineer (Vantage) - Clearance Required

$101K - $174K/yr

Overview LMI is seeking a Data Engineer to build the pipelines that power Army leadership decisions ... Open to Remote. Local preferred at client site in Crystal City VA or Aberdeen MD. LMI is a new ...

LMI

Data Engineer (Vantage) - Clearance Required

$101K - $174K/yr

Overview LMI is seeking a Data Engineer to build the pipelines that power Army leadership decisions ... Open to Remote. Local preferred at client site in Crystal City VA or Aberdeen MD. LMI is a new ...

Wheelhouse

Senior Data Engineer

OR · On-site +1

$105K - $143K/yr

We're a remote-first, work-anywhere, and "yes - you should make time for that adventure/vacation ... We are looking for a Senior Data Engineer to take ownership of this massive daily ingestion engine.

Origami Risk LLC

Senior Data Engineer

$117K - $146K/yr

Overview The Senior Data Engineer plays a pivotal role within our expanding Data and AI team. This ... All full-time positions are hybrid, with many eligible to be completely remote * Fully Paid by ...

Wellbe Senior Medical

Senior Data Engineer

$105K - $150K/yr

Job Summary As a Senior Data Engineer at WellBe you will play a pivotal role in collecting ... Work Environment Remote Travel may be required up to 15% locally or nationally Pay Transparency ...

Under Armour, Inc.

Sr. Data Analytics Engineer

OR · On-site +1

$125K - $165K/yr

As a Senior Data Engineer, you will design and implement data analytics pipelines, develop high ... Location: Remote (East Coast strongly preferred to optimize collaboration with HQ and cross ...

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Infographic showing various Remote Oracle 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.

Data Engineer

Tebra

OR • Remote

$114K - $137K/yr

Other

Posted 10 days ago

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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