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Data Engineer Jobs in Bend, OR (NOW HIRING)

Sr Integration Engineer

Bend, OR · On-site

$120 - $150/hr

POSITION SUMMARY Senior Integration Engineer on the Platform Products & Services team is ... Design, develop, and implement data solutions with integration platform tools, cloud hosting, event ...

Sr Integration Engineer

Bend, OR · On-site

$109K - $147K/yr

This includes designing, developing, testing, maintaining, and troubleshooting data integration and ... The engineer will work closely with the Business Products & Services (BPS) teams to gather ...

Sr Integration Engineer

Bend, OR · On-site

$109K - $147K/yr

This includes designing, developing, testing, maintaining, and troubleshooting data integration and ... The engineer will work closely with the Business Products & Services (BPS) teams to gather ...

Collaborate with Data Science, Engineering, Security, and Risk teams to enable scalable, secure, and explainable AI solutions . * Establish architectural patterns for AI model deployment, monitoring ...

Controls Engineer

Sisters, OR · On-site

$110 - $150/hr

Proficiency in PLC programming and data communication. * Experience tuning control loops. * Proficiency in Studio 5000 PLC programing software. * Proficient with the Microsoft Office suite of ...

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Showing results 1-20

Data Engineer information

See Bend, OR salary details

$46.9K

$136.9K

$187.3K

How much do data engineer jobs pay per year?

As of Aug 29, 2026, the average yearly pay for data engineer in Bend, OR is $136,851.00, according to ZipRecruiter salary data. Most workers in this role earn between $120,800.00 and $145,100.00 per year, depending on experience, location, and employer.

What is a data engineer?

Data Engineers are IT professionals who design, construct, install, and maintain large-scale processing systems and other infrastructure for collecting, storing, and analyzing data. They build and optimize data pipelines and architectures that allow organizations to efficiently access and use data for business insights. Data Engineers work closely with data scientists, analysts, and other stakeholders to ensure that data is reliable, accessible, and secure. Their responsibilities often include working with databases, cloud platforms, and big data tools.

What are the key skills and qualifications needed to thrive as a data engineer, and why are they important?

To thrive as a Data Engineer, you need a strong background in computer science, data modeling, and programming languages such as Python or Java, often coupled with a relevant degree. Familiarity with ETL tools, big data frameworks (like Hadoop or Spark), and cloud platforms (such as AWS or Azure) is typically required, along with certifications like AWS Certified Data Analytics. Strong problem-solving skills, attention to detail, and effective communication set exceptional data engineers apart. These skills and qualities are essential for building robust data pipelines, ensuring data quality, and supporting data-driven decision-making across organizations.

What does a data engineer do?

The job duties of a data engineer involve helping with the development of systems, software, and infrastructure used to process, store and analyze data. Your responsibilities in this career include working to install data management software. Your employer may expect you to perform maintenance and install updates to all software and systems that they use for data acquisition, management, and analysis. Data engineers also analyze existing data systems to find ways to improve efficiency and accessibility. You then suggest upgrades or changes based on your assessment.

How do data engineers typically collaborate with data scientists and analysts within an organization?

Data Engineers play a crucial role in ensuring that Data Scientists and Analysts have reliable, well-structured data for their projects. This collaboration often involves building and maintaining data pipelines, optimizing data storage solutions, and troubleshooting data quality issues. Regular communication and agile teamwork are common, with Data Engineers frequently participating in meetings to understand analytical requirements and adjust data processes accordingly. By working closely together, these teams can quickly iterate on data models and deliver actionable insights to drive business decisions.

What is the difference between Data Engineer vs Data Scientist?

AspectData EngineerData Scientist
Primary FocusBuilding and maintaining data pipelines and infrastructureAnalyzing data to extract insights and create models
SkillsSQL, ETL, programming (Python, Java), database managementStatistics, machine learning, data analysis, programming (Python, R)
Work EnvironmentData warehouses, cloud platforms, backend systemsData analysis environments, research labs, visualization tools
Common ToolsApache Spark, Hadoop, Airflow, SQLJupyter, RStudio, Tableau, scikit-learn

Data Engineers focus on creating and maintaining the infrastructure that allows data to be collected, stored, and processed efficiently. Data Scientists analyze this data to generate insights, build predictive models, and support decision-making. While their skills overlap, Data Engineers are more involved in data pipeline development, whereas Data Scientists focus on data analysis and modeling.

Is a data engineer entry level?

Data engineering is typically an intermediate to senior-level role that requires experience with programming, databases, and data pipeline tools. Entry-level positions may be available for those with relevant internships or strong foundational skills, but most data engineering roles demand several years of experience or advanced knowledge of tools like SQL, Python, and cloud platforms.

What is the role of a data engineer?

A data engineer designs, builds, and maintains data pipelines and infrastructure to collect, process, and store large volumes of data. They work with tools like SQL, Python, and cloud platforms to ensure data is accessible and reliable for analysis and decision-making.

What are the most commonly searched types of Data Engineer jobs in Bend, OR?

The most popular types of Data Engineer jobs in Bend, OR are:

What are popular job titles related to Data Engineer jobs in Bend, OR?

For Data Engineer jobs in Bend, OR, the most frequently searched job titles are:

What job categories do people searching Data Engineer jobs in Bend, OR look for?

The top searched job categories for Data Engineer jobs in Bend, OR are:

What cities near Bend, OR are hiring for Data Engineer jobs?

Cities near Bend, OR with the most Data Engineer job openings:

Infographic showing various Data Engineer job openings in Bend, OR as of August 2026, with employment types broken down into 90% Full Time, and 10% Temporary. Highlights an 90% In-person, and 10% Remote job distribution, with an average salary of $136,851 per year, or $65.8 per hour.

Data Center Production Operations Engineer

Prineville, OR


Meta
Internet and IT • 10K+ employees

7.8

Company rating: 7.8 out of 10

Based on 45 frontline employees who took The Breakroom Quiz

139th of 246 rated software companies

People enjoy working here

Good employer

Recommended by students


$70K/yr

Full-time

Posted 17 days ago


Job description

Meta is seeking a forward thinking engineer to join the Production Operations team within our Data Centers. These Data Centers are the foundation upon which our rapidly scaling infrastructure efficiently operates and upon which our innovative services are delivered. Meta is at the leading edge of the global data center industry both in terms of how data centers are designed and operated. This person should enjoy working in a fast paced, technical environment where adaptability and flexibility will be key to their success.We seek an IT professional with technical skills in server hardware and Linux - ideally in a Data Center environment. The candidate should have knowledge or experience in a few of the following core areas: Hardware repair, OS management, Tooling and Automation, Networking, or Technical Project Management.
Data Center Production Operations Engineer Responsibilities:
  • Work within Meta's ticketing system
  • First point of contact for break fix technicians
  • Responsible for assisting with projects (retrofits, new process details, etc.) and repairs throughout the data center
  • Understand and debug hardware and Linux OS related issues
  • Identify and help create documentation for the global data center knowledge base
  • Assist with process improvements and best practices in data center operations
  • Participate in on-call rotation (once a month on call for a week, after hours, first point of contact)

Minimum Qualifications:
  • Must obtain work authorization in the country of employment at the time of hire and maintain ongoing work authorization during employment
  • Currently has, or is in the process of obtaining, a Bachelor's or Master's degree in technical field, or equivalent experience/certification
  • Knowledge of Linux and server hardware support
  • Working knowledge and experience in at least one of the following core areas: Networking, Programming/Scripting, Hardware, or OS repair
  • Solid communication skills are a requirement for this role

Preferred Qualifications:
  • Working conceptual knowledge of technologies such as HTTP, DNS, RAID, and DHCP
  • Experience modifying and developing in Python, SQL, and/or shell scripting

About Meta:
Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.
Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.
Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@meta.com.
$70,990/year to $103,002/year + bonus + equity + benefits
Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta.


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