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Evening Remote Data Engineer Jobs in Oregon (NOW HIRING)

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

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 ...

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 ...

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 ...

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 ...

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.

Data Engineer - AI

$101K - $132K/yr

Using their technical experience in ETL processes, Data Engineers ensure operational functions are ... REMOTE #LI-LL1 #SENIOR Employment Type: OTHER

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 ...

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 ...

$63.75 - $82/hr

... engineering fundamentals, systems thinking, and ownership across scalable modern data ecosystems. Engagement details * Contractor / project-based engagement * Paid in USD/hour * Remote-first

Distributed Systems Engineer (L4) - Data Platform

OR · On-site +1

$114K - $137K/yr

In addition, we are open to remote candidates. We value what you can do from anywhere in the U.S ... Data Developer Experience The Data Developer Experience (DDX) team at Netflix is dedicated to ...

Senior Staff Software Engineer, Data

OR · On-site +1

$105K - $143K/yr

This is a senior individual contributor role open to remote candidates across the United States ... Partnering with Engineering to improve upstream data quality and contracts. * Leading cross ...

Sr. Data Analyst - Finance

OR · On-site +1

$120K - $130K/yr

You will collaborate with Data Engineering on data pipelines, identifying and solving complex data ... Fully remote within the U.S. * Open to US-based remote candidates, with a preference for PST/MST ...

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 ...

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 ...

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Evening Remote Data Engineer information

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Infographic showing various Evening Remote 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.

$114K - $137K/yr

Full-time

Posted 17 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.

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