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Weekend Amazon Data Engineer Jobs in Corvallis, OR

Hp

Principal Data Solutions Architect

Corvallis, OR

$147K - $230K/yr

Amazon Web Services * Big Data * Data Analysis * Data Engineering * Data Modeling * Digital Twins * Hybrid Edge+Cloud Systems * Extract Transform Load (ETL) * Product Leadership * Python (Programming ...

Amazon

Operations Manager

Salem, OR · On-site

... through data-driven decisions and analytical problem-solving. You will also play a key role in ... Amazon (blue badge/FTE) experience - Work a flexible schedule/shift/work area, including weekends ...

Amazon

Operations Manager

Salem, OR · On-site

... through data-driven decisions and analytical problem-solving. You will also play a key role in ... Amazon (blue badge/FTE) experience - Work a flexible schedule/shift/work area, including weekends ...

Amazon

Operations Manager

Salem, OR · On-site

... through data-driven decisions and analytical problem-solving. You will also play a key role in ... Amazon (blue badge/FTE) experience - Work a flexible schedule/shift/work area, including weekends ...

Amazon

Site Leader, XLDS

Tangent, OR · On-site

... data-driven decisions and analytical problem-solving. Our Operation's workflow has three major ... Amazon (blue badge/FTE) experience - Work a flexible schedule/shift/work area, including weekends ...

Amazon

Operations Manager

Salem, OR

External Our WW Operations network delivers millions of packages and smiles to Amazon customers ... through data-driven decisions and analytical problem-solving. You will also play a key role in ...

Amazon

Operations Manager

Salem, OR

External Our WW Operations network delivers millions of packages and smiles to Amazon customers ... through data-driven decisions and analytical problem-solving. You will also play a key role in ...

Amazon

Operations Manager

Salem, OR

External Our WW Operations network delivers millions of packages and smiles to Amazon customers ... through data-driven decisions and analytical problem-solving. You will also play a key role in ...

Amazon

Operations Manager

Salem, OR · On-site

External Our WW Operations network delivers millions of packages and smiles to Amazon customers ... through data-driven decisions and analytical problem-solving. You will also play a key role in ...

Junction City Clean Fuels

Be Seen First

Anaerobic Digester Operator 1

Junction City, OR · On-site

$22 - $27/hr

Record operational data, identify performance trends, and troubleshoot issues promptly. * Inspect ... Collaborate closely with Operators, maintenance management & engineering teams to optimize plant ...

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All JobsAmazon Data Engineer JobsWeekend Amazon Data Engineer JobsWeekend Amazon Data Engineer Jobs in Corvallis, OR

Weekend Amazon Data Engineer information

See Corvallis, OR salary details

$46.1K

$134.4K

$183.9K

How much do weekend amazon data engineer jobs pay per year?

As of Aug 15, 2026, the average yearly pay for weekend amazon data engineer in Corvallis, OR is $134,387.00, according to ZipRecruiter salary data. Most workers in this role earn between $118,600.00 and $142,400.00 per year, depending on experience, location, and employer.

How much do Weekend Amazon Data Engineers make?

Weekend Amazon Data Engineers typically earn between $50,000 and $100,000 annually, depending on experience, location, and skill set. Compensation may include benefits such as flexible schedules, cloud tools, and data processing platforms like AWS and Spark.

What is a Weekend Amazon Data Engineer?

Weekend Amazon Data Engineers are professionals who work with Amazon's data infrastructure, usually on a part-time or flexible basis during weekends. They are responsible for building, maintaining, and optimizing data pipelines and systems that support data analysis and business decision-making. Their work often involves using Amazon Web Services (AWS) tools, programming languages such as Python or SQL, and collaborating with data scientists or analysts. Weekend roles are ideal for those seeking supplementary income, work-life balance, or an opportunity to gain experience in cloud-based data engineering.

What does a typical weekend look like for a Weekend Amazon Data Engineer, and how does the work schedule differ from weekday roles?

As a Weekend Amazon Data Engineer, you can expect to focus on monitoring data pipelines, addressing urgent data-related issues, and supporting critical deployments that often occur during lower-traffic periods on weekends. This role may involve collaborating with on-call engineers, data analysts, and product teams to ensure data infrastructure stability and resolve incidents quickly. The weekend schedule typically allows for more independent work, but you will still participate in virtual stand-ups or handoff meetings with weekday teams to maintain continuity. Flexibility and strong communication are important, as you'll often be the primary point of contact for data engineering concerns during your shift.

What are the key skills and qualifications needed to thrive as a Weekend Amazon Data Engineer, and why are they important?

To thrive as a Weekend Amazon Data Engineer, you need strong proficiency in data modeling, SQL, and programming languages such as Python or Java, often backed by a degree in computer science or a related field. Familiarity with AWS services (like Redshift, S3, and Glue), ETL tools, and data warehousing certifications is highly valuable. Excellent problem-solving skills, attention to detail, and effective collaboration are standout soft skills for this role. These competencies ensure the reliable and efficient processing of large datasets, supporting business needs even during off-peak times.

What is the difference between Weekend Amazon Data Engineer vs Weekend Amazon Data Analyst?

AspectWeekend Amazon Data EngineerWeekend Amazon Data Analyst
Required CredentialsBachelor's in CS, Data Engineering certificationsBachelor's in Statistics, Data Analysis certifications
Work EnvironmentData pipelines, cloud platforms, ETL processesData interpretation, reporting, visualization tools
Employer & Industry UsageAmazon, e-commerce, cloud servicesAmazon, retail, marketing teams

Weekend Amazon Data Engineers focus on building and maintaining data infrastructure, while Data Analysts interpret data and generate reports. Both roles often work in the same environment but serve different functions within Amazon's data ecosystem.

What cities near Corvallis, OR are hiring for Weekend Amazon Data Engineer jobs?

Cities near Corvallis, OR with the most Weekend Amazon Data Engineer job openings:

Weekend Amazon Data Engineer jobs near you

Principal Data Solutions Architect

HP Development Company, L.P.

Corvallis, OR • On-site

$147K - $230K/yr

Full-time

Medical, Dental, Vision, Life, PTO

Re-posted 5 days ago

Job description

Principal Data Solutions Architect
Description -
Principal Data Solutions Architect
Job Summary
HP PageWide Industrial operates at the intersection of high-performance hardware, industrial software, and real-time data at factory scale. This role is for a senior architect who wants to shape how industrial presses connect to cloud platforms, partner ecosystems, and AI-enabled solutions-unlocking real-time productivity insights and enabling the next generation of intelligent, autonomous press operations.
This role is responsible for partnering across solution delivery organizations to define the PWI press data strategy and APIs that integrate our presses with customer factory management systems, third-party analytics and workflow solutions, robotics, and the HP PrintOS platform and applications.
Responsibilities
  • Own and lead the end-to-end ecosystem integration architecture; consider the data, systems, and workflows spanning many domains including presses, jobs, attached or involved devices, AI capabilities and agents, and partner systems within factory settings and associated cloud services.
  • Set architectural guardrails that ensure security, scalability, reliability, and customer extensibility.
  • Define and evolve the technical roadmap and target-state architecture for press-to-factory and cloud ecosystem integrations.
  • Serve as the architectural authority to define factory-level and partner-facing API standards, contracts, and governance.
  • Partner with internal teams to ensure robust data models, schemas, versioning, and lifecycle management.
  • Lead evaluation and adoption of industry standards and emerging opportunities.
  • Explore, prototype, and validate AI-enabled use cases leveraging press and factory data.
  • Engage directly with customers and partners as needed for technical escalations, integration strategy alignment, and early adopter and pilot engagements.
  • Leverage recognized domain expertise, business acumen, and overall data systems leadership to influence decisions of executive business leadership, development partners, and industry standards groups.
  • Build and manage relationships throughout the Industrial Print organization.
  • Establish scalable, efficient, and automated processes for large scale data analyses and model development, validation, and implementation.
  • Provide guidance and mentoring to less experienced staff members.

Education & Experience Required
  • Four-year or Graduate Degree in Computer Science, Software Engineering, Statistics/ Mathematics, or any other related discipline or commensurate work experience or demonstrated competence.
  • Typically has 10+ years of work experience designing and delivering high-performant industrial software, data engineering, cloud platforms, or a related field.
  • Experience in industrial automation, smart manufacturing, IIoT, robotics, or factory software ecosystems is appreciated.
  • Hands-on experience with applied AI/ML systems, analytics platforms, or data science collaboration.
  • Familiarity with cybersecurity considerations in industrial and cloud-connected environments.
  • Experience working with external partners, standards bodies, or large enterprise customers.

Desirable Knowledge & Skills
  • Agile Methodology
  • AI Domains for Industrial Applications
  • computer vision, agentic AI, predictive maintenance, anomaly detection, troubleshooting
  • Amazon Web Services
  • Big Data
  • Data Analysis
  • Data Engineering
  • Data Modeling
  • Digital Twins
  • Hybrid Edge+Cloud Systems
  • Extract Transform Load (ETL)
  • Product Leadership
  • Python (Programming Language)
  • Roadmap Develoiper
  • Scalability
  • SQL (Programming Language)
  • Software Architecture
  • System Analysis

Cross-Org Skills
  • Effective Communication
  • Results Orientation
  • Learning Agility
  • Digital Fluency
  • Customer Centricity
  • Sound Judgment
  • Creative Understanding

Impact & Scope
  • Impacts large functions and leads large, cross-division functional teams or projects.

Complexity
  • Provides highly innovative solutions to complex problems within established policy.

Disclaimer
  • This job description describes the general nature and level of work performed in this role. It is not intended to be an exhaustive list of all duties, skills, responsibilities, knowledge, etc. These may be subject to change and additional functions may be assigned as needed by management.

Salary
The pay range for this role is $147,050 to $230,850 USD annually with additional opportunities for pay in the form of bonus and/or equity (applies to United States of America candidates only). Pay varies by work location, job-related knowledge, skills, and experience.
Benefits:
HP offers a comprehensive benefits package for this position, including:
  • Health insurance
  • Dental insurance
  • Vision insurance
  • Long term/short term disability insurance
  • Employee assistance program
  • Flexible spending account
  • Life insurance
  • Generous time off policies, including;
  • 4-12 weeks fully paid parental leave based on tenure
  • 11 paid holidays
  • Additional flexible paid vacation and sick leave (US benefits overview)

The compensation and benefits information is accurate as of the date of this posting. The Company reserves the right to modify this information at any time, with or without notice, subject to applicable law.
Job -
Software
Schedule -
Full time
Shift -
No shift premium (United States of America)
Travel -
Relocation -
Equal Opportunity Employer (EEO) -
HP, Inc. provides equal employment opportunity to all employees and prospective employees, without regard to race, color, religion, sex, national origin, ancestry, citizenship, sexual orientation, age, disability, or status as a protected veteran, marital status, familial status, physical or mental disability, medical condition, pregnancy, genetic predisposition or carrier status, uniformed service status, political affiliation or any other characteristic protected by applicable national, federal, state, and local law(s).
Please be assured that you will not be subject to any adverse treatment if you choose to disclose the information requested. This information is provided voluntarily. The information obtained will be kept in strict confidence.
For more information, review HP's EEO Policy or read about your rights as an applicant under the law here: "Know Your Rights: Workplace Discrimination is Illegal"

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