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Full Time Data Engineering Jobs in Eugene, OR (NOW HIRING)

HEICO

Production Test Engineer

Eugene, OR · On-site

Eugene, Oregon Status: Full time, Exempt Rate of Pay: $94k-$105k -D.O.E. Must be authorized to work ... Will work with suppliers to ensure maximum test coverage and with engineering from very early in ...

HEICO

Production Test Engineer

Eugene, OR · On-site

Eugene, Oregon Status: Full time, Exempt Rate of Pay: $94k-$105k -D.O.E. Must be authorized to work ... Will work with suppliers to ensure maximum test coverage and with engineering from very early in ...

Heico

Production Test Engineer

Eugene, OR · On-site

Eugene, Oregon Status: Full time, Exempt Rate of Pay: $94k-$105k -D.O.E. Must be authorized to work ... Will work with suppliers to ensure maximum test coverage and with engineering from very early in ...

KPFF Consulting Engineers

Survey Party Chief

Eugene, OR · On-site

$35 - $50/hr

We collect field data using the latest survey grade equipment, including conventional total ... We work with engineers, architects, landscape architects, developers, and public agencies. You may ...

King Retail Solutions

CNC Operator

Eugene, OR · On-site

$20.25 - $27.75/hr

Job Type Full-time Description King Retail Solutions , a leading designer and manufacturer of ... The CNC Programmer is responsible for the set-up and programming of the CNC machines. As a CNC ...

Rosboro

Custom Glulam Scheduler

Veneta, OR · On-site

Rosboro is seeking a full-time Glulam Scheduler to plan and coordinate the flow of made-to-order ... Preference will be given to applicants with Glulam or other engineered wood products experience.

Hexion Careers

Resin Operator

Springfield, OR

$20 - $22.75/hr

Whether you're engineering advanced materials, transforming manufacturing technologies, or leading ... Position Overview Job Type: Full-Time | Shift-based | On-site Reports To: Production Superintendent ...

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Showing results 1-20

All JobsData Engineering JobsFull Time Data Engineering JobsFull Time Data Engineering Jobs in Eugene, OR

Full Time Data Engineering information

See Eugene, OR salary details

$44.7K

$130.3K

$178.3K

How much do full time data engineering jobs pay per year?

As of Aug 10, 2026, the average yearly pay for full time data engineering in Eugene, OR is $130,276.00, according to ZipRecruiter salary data. Most workers in this role earn between $115,000.00 and $138,100.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a full time data engineer?

To thrive as a Full Time Data Engineer, you need strong programming skills (such as Python or Java), proficiency in SQL, and a solid understanding of data modeling and ETL processes, usually supported by a degree in computer science or a related field. Familiarity with big data tools (like Hadoop or Spark), cloud platforms (such as AWS or Azure), and relevant certifications (e.g., Google Cloud Data Engineer) is highly valuable. Excellent problem-solving, communication, and teamwork abilities distinguish top performers in this role. These skills ensure efficient data infrastructure development, reliable data pipelines, and effective collaboration with cross-functional teams to support business objectives.

What is a full time data engineer?

Full time data engineering jobs involve building, managing, and optimizing data pipelines and infrastructure to collect, process, and store large volumes of data for organizations. Data engineers work with technologies like SQL, Python, cloud platforms, and big data tools to ensure data is reliable and accessible for analytics and business decision-making. These roles typically require strong programming skills, knowledge of database systems, and experience with data modeling and ETL (Extract, Transform, Load) processes. Full time positions generally offer benefits and require a standard workweek commitment, often in tech, finance, healthcare, or other data-driven industries.

What is the difference between Full Time Data Engineering vs Part Time Data Engineering?

AspectFull Time Data EngineeringPart Time Data Engineering
Work HoursTypically 40 hours/weekLess than 20 hours/week
CredentialsRelevant degrees, certifications like AWS, GCP, or AzureSame as full-time, but often less emphasis on certifications
Work EnvironmentFull-time employment, often in corporate or tech firmsFreelance or contract basis, flexible locations
Job ResponsibilitiesDesigning, building, maintaining data pipelinesSupporting existing pipelines, smaller projects

Full Time Data Engineering involves a standard 40-hour workweek with comprehensive responsibilities in designing and maintaining data systems. Part Time Data Engineering offers flexible hours, often focusing on specific tasks or projects. Both roles require relevant technical skills and certifications, but full-time positions typically demand more extensive experience and commitment.

What are some common challenges faced by full time data engineers, and how can they be addressed?

Full-time data engineers often encounter challenges such as integrating data from diverse sources, ensuring data quality, and optimizing data pipelines for scalability and performance. These issues can be addressed by adopting robust ETL (Extract, Transform, Load) frameworks, implementing automated data validation tests, and collaborating closely with data analysts and software engineers to align on data requirements. Staying updated with the latest cloud technologies and best practices in data architecture also helps in overcoming these challenges and maintaining efficient, reliable data systems.
Full Time Data Engineering jobs near you
Infographic showing various Full Time Data Engineering job openings in Eugene, OR as of August 2026, with employment types broken down into 67% Full Time, and 33% Temporary. Highlights an 100% In-person job distribution, with an average salary of $130,276 per year, or $62.6 per hour.

Software Engineer, Data Infrastructure & Acquisition - Eugene, OR, USA

Speechify

Eugene, OR • On-site

$115K - $138K/yr

Full-time

Re-posted 22 days ago

Job description

The mission of Speechify is to make sure that reading is never a barrier to learning.

Over 50 million people use Speechify's text-to-speech products to turn whatever they're reading - PDFs, books, Google Docs, news articles, websites - into audio, so they can read faster, read more, and remember more. Speechify's text-to-speech reading products include its iOS app, Android App, Mac App, Chrome Extension, and Web App. Google recently named Speechify the Chrome Extension of the Year and Apple named Speechify its 2025 Design Award winner for Inclusivity.  

Today, nearly 200 people around the globe work on Speechify in a 100% distributed setting - Speechify has no office. These include frontend and backend engineers, AI research scientists, and others from Amazon, Microsoft, and Google, leading PhD programs like Stanford, high growth startups like Stripe, Vercel, Bolt, and many founders of their own companies.

Overview

We're looking to hire for our Data side of our AI team at Speechify. This role is responsible for all aspects of data collection to support our model training operations. We are able to build high-quality datasets at petabyte-scale and low cost through a tight integration of infrastructure, engineering, and research work. We are looking for a skilled Software Engineer to join us.

What You'll Do

  • Be scrappy to find new sources of audio data and bring it into our ingestion pipeline
  • Operate and extend the cloud infrastructure for our ingestion pipeline, currently running on GCP and managed with Terraform.
  • Collaborate closely with our Scientists to shift the cost/throughput/quality frontier, delivering richer data at bigger scale and lower cost to power our next-generation models.
  • Collaborate with others on the AI Team and Speechify Leadership to craft the AI Team's dataset roadmap to power Speechify's next-generation consumer and enterprise products.

An Ideal Candidate Should Have

  • BS/MS/PhD in Computer Science or a related field.
  • 5+ years of industry experience in software development.
  • Proficiency with bash/Python scripting in Linux environments
  • Proficiency in Docker and Infrastructure-as-Code concepts and professional experience with at least one major Cloud Provider (we use GCP)
  • Experience with web crawlers, large-scale data processing workflows is a plus
  • Ability to handle multiple tasks and adapt to changing priorities.
  • Strong communication skills, both written and verbal.

What we offer

  • A fast-growing environment where you can help shape the company and product.
  • An entrepreneurial-minded team that supports risk, intuition, and hustle.
  • A hands-off management approach so you can focus and do your best work.
  • An opportunity to make a big impact in a transformative industry.
  • Competitive salaries, a friendly and laid-back atmosphere, and a commitment to building a great asynchronous culture.
  • Opportunity to work on a life-changing product that millions of people use.
  • Build products that directly impact and support people with learning differences like dyslexia, ADD, low vision, concussions, autism, and more.
  • Work in one of the fastest-growing sectors of tech, the intersection of artificial intelligence and audio.

Compensation: The United States base salary range for this full-time position is $140,000-$200,000 + bonus + equity depending on experience

Think you're a good fit for this job? 

Tell us more about yourself and why you're interested in the role when you apply.
And don't forget to include links to your portfolio and LinkedIn.

Not looking but know someone who would make a great fit? 

Refer them! 

Speechify is committed to a diverse and inclusive workplace. 

Speechify does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.

Apply