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Remote Data Engineer Government Jobs in Oregon (NOW HIRING)

Data Engineer

OR · On-site +1

$114K - $137K/yr

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

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 ...

Senior Software Engineer - Government Cloud

OR · On-site +1

$122K - $161K/yr

... controls, data privacy, and auditability. * Building features specific to AWS GovCloud users ... Target salary range: $210,000 - $220,000 + equity #LI-remote #LI-SW1

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 ...

Data Engineer (Remote / Contract)

OR · On-site +1

$114K - $137K/yr

We are looking for a Data Engineer to join our engineering team to help us manage our diverse and growing set of initiatives. This is a fully remote, 40-hour per week contract position with the ...

Data Engineer (FedD024)

OR · On-site +1

$114K - $137K/yr

GOVERNMENT. THIS POSITION WILL REQUIRE U.S. CITIZENSHIP. Responsibilities: * Designing data ... Implementing systems engineering principles to ensure the reliability, scalability, and ...

We are actively seeking an experienced Data Center Engineer for our Infrastructure Reliability team ... Communicate and coordinate with remote hands in remote data centers, providing technical direction ...

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.

Senior Data Engineer II, Finance

OR · On-site +1

$105K - $143K/yr

Engineering at Instacart provides the opportunity to work on challenging scaling problems while ... Experience with SOX controlled data systems. #LI-Remote

$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

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 ...

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 ...

Integrate AI models, data pipelines, and inference services into production systems. * Collaborate ... For more information, please visit www.eeoc.gov If this position requires a government clearance ...

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 ...

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Showing results 1-20

Remote Data Engineer Government information

What is the difference between Remote Data Engineer Government vs Remote Data Engineer Corporate?

AspectRemote Data Engineer GovernmentRemote Data Engineer Corporate
CredentialsTypically requires security clearances, government-specific certificationsUsually requires general data engineering certifications like AWS, Google Cloud
Work EnvironmentGovernment agencies, public sector projects, strict compliance standardsPrivate companies, startups, corporate data teams, flexible environments
Employer & IndustryFederal, state, or local government agenciesTech firms, finance, healthcare, retail
Search & Comparison IntentUnderstanding government-specific roles, security requirementsExploring corporate data engineering opportunities

The main difference between Remote Data Engineer Government and Remote Data Engineer Corporate lies in the work environment, required credentials, and industry focus. Government roles often demand security clearances and compliance with strict standards, while corporate roles tend to be more flexible and industry-specific. Both roles require strong data engineering skills but cater to different sectors and operational protocols.

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

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

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

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

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

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

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

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

Data Engineer

Tebra

OR • On-site, Remote

$114K - $137K/yr

Full-time

Re-posted 9 hours 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