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Data Engineer Jobs in Bend, OR (NOW HIRING)

Les Schwab Tire Centers

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 ...

Les Schwab Tire Center

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 ...

Tires Les Schwab

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 ...

Munich Re

Technical Architect - Data, Analytics & AI

Bend, OR · Hybrid

$67.50 - $87/hr

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 ...

AAON, Inc.

Strategic Innovation Engineer

Redmond, OR

Compile and analyze testing data and generate reports for prototype tests to validatefunctionality ... Develop & author new engineering standards and practices within the systemsgroup. * Mentor and ...

Meta

Lead Building Engineer

Prineville, OR

$104K/yr

Our data centers are the backbone of the infrastructure that powers Meta's global platforms, and this role is central to keeping those systems running at peak reliability. As a Lead Building Engineer ...

AAON, Inc.

Strategic Innovation Engineer

Redmond, OR · On-site

Compile and analyze testing data and generate reports for prototype tests to validate functionality ... Develop & author new engineering standards and practices within the systems group. * Mentor and ...

EOS

Data Center Operations Leader

Prineville, OR · On-site

Bachelor's degree in business, Engineering, Information Technology, or a related field, or equivalent on the Job experience. * 8+ years of leadership experience in data center operations, managed ...

Meta

Lead Building Engineer

Prineville, OR

$103K - $135K/yr

Meta is seeking a Lead Building Engineer to join our Data Center Critical Facility Operations team. Our data centers are the backbone of the infrastruct.

Tcenergy

Compression Engineer

Redmond, OR · On-site

Provide sound engineering to determine cost-effective solutions to urgent problems such as ... Approve pipeline test data reports * Determine spare parts requirements * Perform gas loss ...

Seran BioScience

Process Engineer

Bend, OR · On-site

Analyze production data to identify bottlenecks and implement corrective actions * Drive cost ... Provide engineering input during client audits and regulatory inspections * Proactively identify ...

Serán BioScience

Process Engineer

Bend, OR · On-site

Analyze production data to identify bottlenecks and implement corrective actions * Drive cost ... Provide engineering input during client audits and regulatory inspections * Proactively identify ...

Serán BioScience

Process Engineer

Bend, OR · On-site

Analyze production data to identify bottlenecks and implement corrective actions * Drive cost ... Provide engineering input during client audits and regulatory inspections * Proactively identify ...

Eos Advisory

Data Center Technician

Redmond, OR · On-site

They are seeking a dedicated Data Center Technician to join their infrastructure engineering team, responsible for the installation, service, maintenance, and repair of low voltage cabling and ...

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Showing results 1-20

All JobsData Engineer JobsData Engineer Jobs in Bend, OR

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 11, 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 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.

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.

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.

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.

Is a data engineer entry level?

Data engineering is typically an intermediate to senior-level role that requires experience with programming, databases, and data pipelines. 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 and proficiency with tools like SQL, Python, and cloud platforms.
More about Data Engineer jobs
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:
Data Engineer jobs near you
Infographic showing various Data Engineer job openings in Bend, OR as of August 2026, with employment types broken down into 88% Full Time, 6% Part Time, and 6% Temporary. Highlights an 94% In-person, and 6% Remote job distribution, with an average salary of $136,851 per year, or $65.8 per hour.

Sr Integration Engineer

Les Schwab Tire Centers

Bend, OR • On-site

$120 - $150/hr

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted 5 days ago

Les Schwab Tire Centers rating

6.6

Company rating: 6.6 out of 10

Based on 215 frontline employees who took The Breakroom Quiz

235th of 732 rated retailers

Job description

POSITION SUMMARY

Senior Integration Engineer on the Platform Products & Services team is responsible for the full lifecycle of core data integration platform products and services, including designing, developing, testing, maintaining, and troubleshooting data integration and Electronic Data Interchange (EDI) solutions that are reliable, scalable, and secure. The role supports company growth by delivering strategic integration capabilities using platforms such as Boomi and Sterling Commerce EDI, ensuring data flows reliably and accurately between operational and analytical systems.

PRIMARY RESPONSIBILITIES
  • Solution Development (30%)
    • Develop and configure middleware components using integration platforms to build reliable data pipelines.
    • Design, develop, and implement data solutions with integration platform tools, cloud hosting, event management, AI platforms, and API gateways.
    • Collaborate with business partners, translate requirements into technical specifications, and prioritize the product backlog.
    • Conduct code reviews, rigorous testing, debugging, and ensure software quality.
    • Own foundational services, manage product lifecycle, and use appropriate management tools.
  • Operational Excellence & Service Delivery (25%)
    • Provide technical support and maintenance for existing integrations.
    • Analyze logs, debug code (JavaScript, APIs), troubleshoot incidents, and manage problems using ServiceNow or Jira.
    • Establish, monitor, and report on service level agreements and KPIs to ensure operational health.
    • Automate repetitive tasks, propose enhancements, and document solutions.
    • Work on‑call, including evenings, weekends, and holidays.
    • Stay current with industry trends, best practices, and emerging technologies in data engineering.
  • Solution Architecture, Governance & Strategy (20%)
    • Lead vision, strategy, and roadmap for core data integration platforms.
    • Design scalable integration solutions and API‑led connectivity aligned with Enterprise Architecture.
    • Define and govern standards, policies, and development guidelines across federated teams.
    • Champion security, compliance, and adhere to cybersecurity policies and regulatory requirements.
  • Team Collaboration & Self‑Improvement (15%)
    • Participate in team discussions, collaborate, and share knowledge.
    • Pursue professional development, education, and certifications in product management and integration technologies.
  • Mentoring (10%)
    • Guide junior members on product‑centric approaches and technical best practices.
MINIMUM REQUIREMENTS
  • Four‑year college degree in Computer Science, Information Systems, Engineering, or related field, or 2years of additional technical experience.
  • Minimum 7years of IT experience in software development, integration, platform services, or data engineering focused on enterprise solutions.
  • Strong breadth and depth in data integrations, automation, resilience, and quality.
  • Advanced knowledge of enterprise application integration (EAI), API management, and integration patterns.
  • Proficiency in troubleshooting logs, SQL composition, performance tuning, automated testing, and documentation.
  • Experience with programming languages such as Python, R, JavaScript, Java, C#, Go, or similar.
  • Experience with flat‑file formats (delimited files, XML, JSON).
  • Experience using collaboration tools: ServiceNow, Jira, TFS, or similar.
  • Strong communication skills and ability to work cross‑functionally.
BENEFITS
  • Annual profit‑sharing bonus.
  • Medical, dental, vision, and life insurance.
  • Company‑funded retirement plan.
  • Paid holidays and paid time off.
  • Hybrid arrangements available (1–2 days/week from home).
  • Tuition assistance.
  • Employee discounts.
EEO Statements and Accommodations

Les Schwab is an equal‑opportunity employer. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions of the position.

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