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Junior Data Engineering Jobs in Oregon (NOW HIRING)

Manufacturing Engineer II

Tualatin, OR ยท On-site

$80K - $105K/yr

Ascentec Engineering is hiring a Manufacturing Engineer II to serve as an experienced technical ... Report project status to stakeholders with data-driven analysis Stakeholder Management: * Interface ...

Sr Integration Engineer

Bend, OR ยท On-site

$109K - $147K/yr

... data engineering, products and integrations to continuously evolve the company's foundational ... Mentor and provide guidance to junior team members on product-centric approaches and technical best ...

Sr Integration Engineer

Bend, OR ยท On-site

$109K - $147K/yr

... data engineering, products and integrations to continuously evolve the company's foundational ... Mentor and provide guidance to junior team members on product-centric approaches and technical best ...

Senior DevOps Engineer

OR ยท On-site +1

$109K - $151K/yr

SageMaker - to support our Data Science Team * Raise the DevOps literacy of the engineering team - mentoring junior engineers and helping non-infrastructure engineers build good practices around ...

Senior Software Engineer (Gen AI)

Beaverton, OR ยท On-site

$127K - $168K/yr

Mentorship: Provide technical guidance to junior engineers. Conduct critical code reviews and ... Docker) and data engineering pipelines (e.g. ETL) * Experience developing and deploying machine ...

Principal Data Analyst, Growth Marketing

OR ยท On-site +1

$86K - $107K/yr

In this role, you will collaborate closely with Growth Marketing, Product, Engineering, and Machine ... Experience in coaching and mentoring junior team members on technical subjects Position location ...

Staff Data Analyst, Servicing

OR ยท On-site +1

$61K - $81K/yr

Partnering closely with our Servicing product management, operations, engineering, and ML teams ... Mentor junior team members while fostering a culture of excellence in data and analytics ...

As a data scientist leader, be a mentor, lead junior analysts, offer guidance and provide training ... Strong Programming skills in Python and/or R (Python preferred) * Predictive modeling experience ...

As a data scientist leader, be a mentor, lead junior analysts, offer guidance and provide training ... Strong Programming skills in Python and/or R (Python preferred) * Predictive modeling experience ...

As a data scientist leader, be a mentor, lead junior analysts, offer guidance and provide training ... Strong Programming skills in Python and/or R (Python preferred) * Predictive modeling experience ...

CTIO AI Engineering Manager

Portland, OR ยท On-site

$73K - $244K/yr

Those in data science and machine learning engineering at PwC will focus on leveraging advanced ... junior staff while upholding remarkable standards of quality and innovation in deliverables.

Showing results 41-60

Junior Data Engineering information

See Oregon salary details

$35.4K

$75.9K

$115.8K

How much do junior data engineering jobs pay per year?

As of Aug 8, 2026, the average yearly pay for junior data engineering in Oregon is $75,912.00, according to ZipRecruiter salary data. Most workers in this role earn between $51,300.00 and $84,600.00 per year, depending on experience, location, and employer.

What is the difference between Junior Data Engineering vs Data Analyst?

AspectJunior Data EngineeringData Analyst
Required SkillsBasic SQL, Python, data pipeline knowledgeData visualization, SQL, Excel
CertificationsEntry-level certifications in data engineering or related fieldsCertifications in data analysis or visualization tools
Work EnvironmentData engineering teams, IT departmentsBusiness units, marketing, finance teams
Industry UsageBuilding and maintaining data pipelines and infrastructureInterpreting data, creating reports and dashboards

Junior Data Engineering focuses on developing and maintaining data pipelines and infrastructure, requiring skills in SQL and Python. Data Analysts interpret data and create reports, often using visualization tools. While both roles work with data, Junior Data Engineers handle data flow and storage, whereas Data Analysts focus on data interpretation and insights.

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

To thrive as a Junior Data Engineer, you need a solid understanding of data structures, SQL, and programming languages like Python or Java, often supported by a degree in computer science or a related field. Familiarity with ETL tools, cloud platforms (such as AWS or Azure), and data warehousing solutions is typically required. Strong problem-solving abilities, attention to detail, and effective communication help you excel in team environments and manage complex data workflows. These skills ensure you can reliably build, maintain, and optimize data pipelines that support organizational decision-making.

What does a junior data engineer do?

A Junior Data Engineer typically assists in designing, building, and maintaining data pipelines and databases to support analytics and business needs. They work with large datasets, ensuring data is collected, stored, and processed efficiently and accurately. Responsibilities often include data cleaning, ETL (Extract, Transform, Load) processes, and collaborating with data analysts and other engineers. Junior Data Engineers are usually early in their careers and work under the guidance of more experienced data engineers while developing their technical and problem-solving skills.

What are some typical challenges a junior data engineer may face when starting out, and how can they overcome them?

As a Junior Data Engineer, one common challenge is adapting to complex data infrastructure and unfamiliar tools or frameworks. You may also find it challenging to ensure data quality and consistency while working with large datasets. Collaborating closely with senior engineers and asking questions is key to overcoming these hurdles. Taking advantage of onboarding resources, documentation, and code reviews will help you learn best practices and improve your skills quickly. Embracing continuous learning and seeking feedback will set you up for long-term growth in data engineering.
What are the most commonly searched types of Data Engineering jobs in Oregon? The most popular types of Data Engineering jobs in Oregon are:
What job categories do people searching Junior Data Engineering jobs in Oregon look for? The top searched job categories for Junior Data Engineering jobs in Oregon are:
What cities in Oregon are hiring for Junior Data Engineering jobs? Cities in Oregon with the most Junior Data Engineering job openings:
Infographic showing various Junior Data Engineering job openings in Oregon as of August 2026, with employment types broken down into 1% As Needed, 70% Full Time, 26% Part Time, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $75,912 per year, or $36.5 per hour.

Manufacturing Engineer II

Ascentec Engineering

Tualatin, OR โ€ข On-site

$80K - $105K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 12 days ago


Job description

Ascentec Engineering is hiring a Manufacturing Engineer II to serve as an experienced technical contributor responsible for independently managing manufacturing processes, leading moderate-complexity NPI projects, and providing technical guidance to junior engineers. This role demonstrates proven capability in process optimization, cost reduction initiatives, and cross-functional collaboration while developing toward advanced technical leadership and strategic process development. The position requires solid hands-on machining knowledge, the ability to analyze engineering drawings for manufacturability, and demonstrated competence in project management.
This position is on-site (not remote/not hybrid) at our Tualatin headquarters and is not eligible for Visa sponsorship or transfer of Visa sponsorship.
Requirements
JOB RESPONSIBILITIES:
MANUFACTURING PROCESS OWNERSHIP & OPTIMIZATION
Process Development & Refinement:
  • Independently develop and implement manufacturing processes for moderate-complexity components and assemblies
  • Lead NPI projects from concept through full production transition with minimal oversight
  • Optimize existing processes to improve cycle time, yield, and cost-effectiveness
  • Design and validate manufacturing tooling, fixtures, and work-holding solutions
  • Conduct time studies and establish standard work documentation for production operations

Advanced Problem-Solving:
  • Lead root cause analysis investigations for quality escapes and process failures
  • Develop and implement corrective and preventive actions (CAPA) with measurable effectiveness
  • Apply statistical methods (DOE, capability studies) to optimize process parameters
  • Troubleshoot complex machining issues involving multi-axis operations, tight tolerances, and difficult materials
  • Identify and eliminate sources of variation in manufacturing processes

Technical Documentation:
  • Create comprehensive work instructions, process maps, and control plans
  • Develop and maintain process FMEA documentation
  • Establish process validation protocols and acceptance criteria
  • Document lessons learned and contribute to knowledge base development

MANUFACTURING COST MANAGEMENT & VALUE ENGINEERING
Cost Estimation & Analysis:
  • Develop detailed manufacturing cost estimates for new products and process changes
  • Conduct make-vs-buy analysis with supporting financial justification
  • Identify cost reduction opportunities through process improvement and design optimization
  • Track and report cost savings achieved through engineering initiative

Value Engineering Leadership:
  • Collaborate with design engineering to optimize product manufacturability
  • Propose alternative materials, processes, or manufacturing approaches to reduce costs
  • Evaluate emerging manufacturing technologies for potential cost or quality benefits
  • Balance cost objectives with quality, delivery, and performance requirements

TECHNICAL MENTORSHIP & TEAM DEVELOPMENT
Peer & Junior Engineer Support:
  • Provide technical guidance and mentorship to Manufacturing Engineer I team members
  • Review and approve work instructions and process documentation prepared by junior engineers
  • Serve as subject matter expert for specific manufacturing processes or technologies
  • Lead knowledge-sharing sessions on advanced manufacturing techniques

Training Development:
  • Develop and deliver training materials for production personnel on new processes
  • Create visual aids, training videos, and quick-reference guides
  • Assess training effectiveness and implement improvements

PROJECT MANAGEMENT & CROSS-FUNCTIONAL LEADERSHIP
NPI Project Leadership:
  • Manage NPI projects involving 3-5 concurrent work streams with interdependencies
  • Develop project plans with clear milestones, resource requirements, and success criteria
  • Coordinate cross-functional activities across engineering, quality, supply chain, and production
  • Proactively identify and mitigate project risks
  • Report project status to stakeholders with data-driven analysis

Stakeholder Management:
  • Interface with suppliers on technical process development and problem resolution
  • Support customer technical reviews and process qualification activities (with PM coordination)
  • Collaborate with quality engineering on inspection methods and acceptance criteria
  • Partner with production supervision to implement process improvements

QUALITY SYSTEMS & CONTINUOUS IMPROVEMENT
Quality System Contribution:
  • Participate in internal and external quality audits as process owner
  • Lead closure of audit findings related to manufacturing processes
  • Ensure processes comply with ISO9001, AS9100, and customer-specific requirements
  • Maintain process validation and control documentation per quality system requirements

Advanced Quality Tools:
  • Apply SPC techniques to monitor process capability and stability
  • Conduct measurement system analysis (GR&R) studies
  • Implement poka-yoke (error-proofing) solutions
  • Develop process control plans with appropriate reaction plans

Continuous Improvement Leadership:
  • Lead Lean Six Sigma projects targeting specific operational metrics
  • Facilitate kaizen events and value stream mapping activities
  • Implement 5S workplace organization initiatives
  • Track and report improvement project results with validated savings

JOB QUALIFICATIONS / EXPERIENCE AND TECHNICAL SKILLS:
Education & Experience:
  • Bachelor's degree in Mechanical Engineering, Manufacturing Engineering, or Industrial Engineering
  • 3-5 years of manufacturing engineering experience in precision machining environment
  • Demonstrated experience leading NPI projects from design through production
  • Experience with CNC programming, setup, troubleshooting, and process optimization

Technical Expertise:
  • Intermediate to Advanced Machining Knowledge: Solid understanding of CNC machining operations, multi-axis programming, tooling selection, feeds/speeds optimization, and setup procedures
  • Manufacturing Cost Estimation: Ability to analyze engineering drawings and develop accurate manufacturing cost estimates with cycle time analysis
  • ERP Systems: Experience with Epicor ERP or similar manufacturing systems for process planning, costing, and project management
  • Quality Systems Knowledge: Familiarity with ISO9001 and AS9100 standards, statistical process control, and CAPA methodologies
  • Process Improvement: Working knowledge of Lean Manufacturing and Six Sigma methodologies (Green Belt certification preferred)

Leadership & Communication:
  • Proven ability to manage multiple projects independently with minimal supervision
  • Strong analytical and problem-solving capabilities with structured approach to root cause analysis
  • Excellent written and verbal communication skills for technical and non-technical audiences
  • Demonstrated ability to mentor junior engineers and contribute to team development
  • Effective collaboration skills with cross-functional teams including design, quality, and production

PERSONAL QUALIFICATIONS:
  • Self-starter / Self-motivated / Flexible / Detail oriented
  • Reliable and dependable
  • Positive customer-focused attitude
  • Enjoy fast-paced and rapidly changing environment
  • Honest with good integrity
  • Professional demeanor and respectful to people in all situations
  • Flexible and willing to help others as needs and tasks change often
  • Team player

WORKING CONDITIONS:
  • Position requires significant time on the production floor conducting process analysis, troubleshooting, and team collaboration
  • Office-based work for project management, cost analysis, documentation, and meetings
  • Occasional travel to supplier facilities or customer sites (<10>
  • May require flexibility for project deadlines and production support requirements
  • Physical requirements include walking, standing, and lifting up to 35 lbs in manufacturing environment

COMPENSATION / BENEFITS:
  • Salary range: $80,000 - $105,000 DOE with performance-based annual review
  • Performance bonus program based on individual and company performance metrics
  • Comprehensive benefits package including medical, dental, vision, and life insurance
  • 401(k) retirement plan with generous company matching contribution
  • Professional development support including certification reimbursement and conference attendance
  • Paid time off / Paid holidays
  • Continuing education opportunities and tuition reimbursement program

Other Requirements:
Applicant must be able to pass a drug screen and criminal background check prior to employment.
ITAR REQUIREMENTS: To conform to U.S. Government space technology export regulations, including the International Traffic in Arms Regulations (ITAR) you must be a U.S. citizen, lawful permanent resident of the U.S., protected individual as defined by 8 U.S.C. 1324b(a)(3), or eligible to obtain the required authorizations from the U.S. Department of State.
Ascentec Engineering is an Equal Opportunity Employer; employment with Ascentec Engineering is governed on the basis of merit, competence and qualifications and will not be influenced in any manner by race, color, religion, gender, national origin/ethnicity, veteran status, disability status, age, sexual orientation, gender identity, marital status, mental or physical disability or any other legally protected status.
Salary Description
$80,000 to $105,000 per year DOE