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Remote Data Engineer Government Jobs in Oregon (NOW HIRING)

Tebra

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

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 ... our next Data Engineer to have the following skills and experiences Core qualifications and ...

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 ...

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 ... Reporting to the Manager, Data Engineering As a Staff Data Engineer, you'll... * Design data ...

Verve

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 ...

BECU

Sr Data Engineer

OR · On-site +1

$110K - $204K/yr

The Senior Data Engineer is responsible for writing data workflows according to design ... Remote or onsite, we are committed to ensuring you are fully engaged and included in our ...

Defense Unicorns

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 ...

Five9

Data Center Engineer (in Atlanta, GA)

OR · On-site +1

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 ...

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.

Valtech

Data Engineer Snowflake/Agentic AI

OR · On-site +1

$155K/yr

Demonstrate deep knowledge of the data engineering domain to build and support non-interactive ... Flexibility, with remote and hybrid work options (country-dependent) * Career advancement, with ...

Valtech

Senior Data Engineer SQL

OR · On-site +1

$155K/yr

Demonstrate deep knowledge of the data engineering domain to build and support non-interactive ... Flexibility, with remote and hybrid work options (country-dependent) * Career advancement, with ...

Instacart

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

Cheesecake Labs

$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

Consensus Cloud Solutions

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 ...

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All JobsData Engineer Government JobsRemote Data Engineer Government JobsRemote Data Engineer Government Jobs in Oregon

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:

Remote Data Engineer Government jobs near you

Data Engineer

Tebra

OR • On-site, Remote

$114K - $137K/yr

Full-time

Re-posted 7 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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