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Data Engineer Two Jobs in Oregon (NOW HIRING)

Data Engineer

OR · On-site +1

$114K - $137K/yr

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 ...

Senior Data Engineer II, Finance

OR · On-site +1

$105K - $143K/yr

Finance data engineering is part of the Data Infrastructure team, working closely with accounting, billing & revenue teams to support the monthly/quarterly book close, retailer invoicing and internal ...

Software Engineer II - Data Platform

OR · On-site +1

$114K - $137K/yr

We are currently seeking a highly motivated and experienced Software Engineer II to join our dynamic team and play a pivotal role in shaping the future of data at Pantheon. What You Will Do * Build ...

Sr. Data Engineer

OR · On-site +1

$100K - $150K/yr

As an accomplished data engineer joining the Data & Analytics team, this is a terrific opportunity ... Salary and bonus earnings are only two components of the total compensation package offered by ...

Data Engineer I, II

Portland, OR · On-site +1

$78K - $110K/yr

Position Summary The Data Engineer role on the Data Science Team (DST) is responsible for designing, maintaining, and enhancing data integration pipelines that support the Enterprise Data Warehouse ...

$160K/yr

Implement data engineering best practices across data modeling, quality, lineage, metadata ... two virtual interviews followed by a final onsite interview.

Senior Data Engineer

OR · On-site +1

$142K - $160K/yr

Engineer reusable enterprise data assets for business consumption. * Optimize large-scale ... Build Data Vault 2.0 models for enterprise integration. * Develop semantic models and curated data ...

Data Engineer (FedD024)

OR · On-site +1

$114K - $137K/yr

... 2 operations * Working with a platform team to implement best practices for configuration ... and data engineering Travel Expectations/Requirements: 6-10 times per year The listed ...

Senior Data Engineer

OR · On-site +1

$105K - $143K/yr

Experience: 5+ years in data engineering, with at least 2+ years focused on distributed, large-scale cloud data warehouses. * Snowflake Expertise: Proven experience with Snowflake performance ...

Software Engineer II - Data Platform

OR · On-site +1

$114K - $137K/yr

Job Summary As a Software Engineer II, you will contribute to the design, development, and maintenance of scalable data pipelines that support our data-driven initiatives. You will work independently ...

Design Engineer II SIG SAUER, Inc . is a leading provider and manufacturer of firearms, electro ... Compile data and generate test reports to share data and formulate recommendations for future ...

Design Engineer II SIG SAUER, Inc . is a leading provider and manufacturer of firearms, electro ... Compile data and generate test reports to share data and formulate recommendations for future ...

Data Engineer (Remote / Contract)

OR · On-site +1

$114K - $137K/yr

You eagerly dig into complex engineering problems Preferred skills and experiences * 2+ years of relevant work experience * You have built customer-facing dashboards and reports using data ...

YOUR NEXT OPPORTUNITY: The Engineer II is a mid-level engineering position responsible for ... High-rise residential, Commercial, and Data Center experience is a plus. * Proficiency in Analytics ...

Engineer II

Hillsboro, OR · On-site

$72 - $95/hr

YOUR NEXT OPPORTUNITY:**The Engineer II is a mid-level engineering position responsible for ... High-rise residential, Commercial, and Data Center experience is a plus.* Proficiency in Analytics ...

Utilize operational and engineering data to support asset management, reliability improvements, and ... A minimum of two or more years of directly related experience in the applicable engineering field.

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Data Engineer Two information

What is the difference between Data Engineer Two vs Data Engineer One?

AspectData Engineer TwoData Engineer One
Required CredentialsBachelor's degree in Computer Science or related field; experience with cloud platformsSimilar credentials, often entry-level or less experience
Work EnvironmentCollaborates on complex data pipelines, often in team settingsSupports basic data tasks, more independent work
Employer & Industry UsageUsed in tech, finance, healthcare industriesCommon in same industries, often as entry-level roles
Search & Comparison IntentOften searched for by those with some experience seeking advanced rolesTypically searched by entry-level candidates

Data Engineer Two roles generally require more experience and involve handling complex data systems, whereas Data Engineer One positions are more entry-level with simpler responsibilities. Both roles are prevalent across industries like tech, finance, and healthcare, but Data Engineer Two is suited for those with more technical expertise and experience.

What other jobs can a data engineer do?

Data engineers can transition into roles such as data architects, data analysts, machine learning engineers, or software engineers, leveraging their skills in data pipelines, database management, and programming. They often work with tools like SQL, Python, and cloud platforms, and may pursue certifications to expand their expertise in data systems and analytics.
Infographic showing various Data Engineer Two job openings in Oregon as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 15% Part Time, and 2% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution.

Data Engineer

Tebra

OR • On-site, Remote

$114K - $137K/yr

Full-time

Posted 26 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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