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Part Time Data Engineering Jobs in Oregon (NOW HIRING)

NuAxis Innovations

$63.75 - $82/hr

NuAxis is home to thinkers and feelers; engineers and artists. We work hard and support each other ... This role requires deep expertise in modern data architecture, cloud platforms, and database ...

Intel

AI Software Engineering Intern

Hillsboro, OR

This role is ideal for a student who can work part-time (16 hours/week) for 6 months to 1 year and ... The group is responsible for developing the holistic strategy for client and data center software ...

Latech Apps

Junior Fullstack Developer

Dallas, OR · On-site +1

$67K - $87K/yr

Remote Employment Type: Part-Time / Contract About the Role Latech Apps is seeking a motivated ... Work with databases and application data models. Debug, test, and improve existing features.

Stantec

Mechanical Engineer/Designer

Portland, OR · On-site

$80K - $109K/yr

Assists with engineering duties on projects of various complexity. * Assists with collecting data ... Regular full-time and part-time employees (working at least 20 hours per week) have access to ...

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All JobsPart Time Data Engineering JobsPart Time Data Engineering Jobs in Oregon

Part Time Data Engineering information

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

To thrive as a Part Time Data Engineer, you need proficiency in programming languages like Python or SQL, knowledge of database management, and a degree in computer science or a related field. Familiarity with data warehousing tools, ETL processes, and platforms such as AWS, Google Cloud, or Apache Spark is typically required. Strong problem-solving abilities, attention to detail, and effective communication help individuals excel in this flexible role. These skills ensure accurate data pipelines, efficient data processing, and successful collaboration with cross-functional teams, even in a part-time capacity.

Is it possible to work part-time as a data scientist?

Yes, data scientists can work part-time, especially in freelance or consulting roles, or within organizations that offer flexible schedules. However, many data science positions are full-time due to the complexity of projects and the need for continuous collaboration and skill development.

Is it possible to work part-time as an engineer?

Part-time data engineering roles are available, often requiring skills in SQL, Python, and cloud platforms. These positions typically involve flexible schedules and may require prior experience or certifications, depending on the employer's needs.

What is a part-time data engineering job?

A part-time data engineering job involves working fewer hours than a full-time position, typically focusing on building and managing data pipelines, organizing data storage, and ensuring data quality for organizations. Part-time data engineers may work on specific projects or provide support to larger teams, often with flexible schedules. They use programming languages and tools like Python, SQL, and cloud platforms to move, transform, and optimize data. This role is ideal for those seeking work-life balance, students, or professionals looking to gain experience or supplement their income.

Are data engineers still in demand?

Data engineers are currently in high demand due to the increasing reliance on data-driven decision making and the growth of big data technologies. Skills in cloud platforms, programming languages like Python and SQL, and familiarity with tools such as Hadoop and Spark enhance job prospects in this field.

How does a part-time data engineering role typically balance project responsibilities with limited working hours?

In a part-time data engineering position, tasks are often scoped to fit within your available hours, focusing on specific projects or maintenance work rather than broader, ongoing initiatives. You’ll likely collaborate closely with full-time engineers to ensure hand-offs are smooth and that you’re aligned on priorities. Clear communication and proactive time management are essential, as you may need to coordinate across teams or adjust your workload to meet deadlines. Many organizations also provide flexible scheduling and clear documentation practices to help part-time team members stay integrated and productive.

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

AspectPart Time Data EngineeringPart Time Data Analysis
Required CredentialsTypically requires knowledge of SQL, Python, ETL tools, and cloud platformsRequires skills in SQL, Excel, data visualization tools, and basic statistical knowledge
Work EnvironmentOften involves building data pipelines, managing databases, and working with data infrastructureFocuses on interpreting data, creating reports, and providing insights
Employer & Industry UsageUsed in tech companies, finance, and e-commerce for data infrastructure rolesCommon in marketing, consulting, and business intelligence roles across industries

Part Time Data Engineering involves developing and maintaining data pipelines and infrastructure, requiring technical skills in programming and cloud platforms. In contrast, Part Time Data Analysis centers on interpreting data, creating reports, and providing insights, often using visualization tools. Both roles are essential in data-driven organizations but differ in technical complexity and focus.

What engineers make $500,000?

Senior data engineers, software engineers, and machine learning engineers with extensive experience, specialized skills, and working in high-paying industries or companies can earn $500,000 or more annually. Achieving this level often requires advanced technical expertise, certifications, and sometimes leadership roles or stock options.
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 cities in Oregon are hiring for Part Time Data Engineering jobs? Cities in Oregon with the most Part Time Data Engineering job openings:
Part Time Data Engineering jobs near you
Infographic showing various Part Time Data Engineering job openings in Oregon as of June 2026, with employment types broken down into 86% Full Time, 9% Part Time, 1% Temporary, 3% Contract, and 1% Nights. Highlights an 95% Physical, 1% Hybrid, and 4% Remote job distribution.

Data Engineer (Part time) - BigQuery / GA4

LHH US

Portland, OR • Remote

$50 - $70/hr

Part-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 9 days ago

Be an early applicant

Job description

Location: Portland, OR (Remote)
Duration: ~3 weeks (Approx. 45-55 hours total)
Pay Rate: $50-$70/hour on W2
About the Role
We're seeking a Data Engineer with strong marketing analytics experience to support a short-term engagement focused on building and validating a BigQuery-based data foundation.
This role will work across multiple client accounts to ensure analytics data is properly structured, integrated, and ready for reporting, with a focus on GA4, paid media, and CRM data sources.
Key Responsibilities
  • Set up and configure BigQuery / GCP environments , including datasets, permissions, and naming conventions
  • Enable and validate GA4 → BigQuery data exports
  • Ensure key events and conversions are accurately captured and flowing
  • Connect and validate priority data sources (GA4, paid media platforms, CRM, email tools)
  • Create reporting-ready tables or views for analytics and performance tracking
  • Perform data QA and validation across sources (GA4, ad platforms, CRM)
  • Identify data gaps, inconsistencies, and potential risks
  • Ensure existing dashboards and reports remain functional
  • Document data architecture, sources, and workflows
  • Provide clear handoff documentation and recommendations for future improvements
Required Qualifications
  • Hands-on experience with Google BigQuery and Google Cloud Platform (GCP)
  • Strong understanding of GA4 (Google Analytics 4) and data exports
  • Experience working with Google Tag Manager (GTM)
  • Proficiency in SQL for data transformation and reporting
  • Experience integrating marketing data sources (paid media, CRM, email platforms)
  • Strong data validation and QA skills
  • Ability to work independently in a fast-paced, short-term engagement
Preferred Qualifications
  • Experience in marketing analytics or agency environments
  • Familiarity with tools like Salesforce, Google Ads, Mailchimp , or similar platforms
  • Experience creating lightweight reporting layers or data models
  • Strong documentation and stakeholder communication skills
What Success Looks Like
  • BigQuery environments are fully set up and structured
  • GA4 data is correctly flowing into BigQuery
  • Key data sources are connected and validated
  • Reporting tables/views are available and usable
  • Data accuracy is confirmed across platforms
  • Documentation and handoff materials are complete
Benefit Offering
Benefit Offerings:
Benefit offerings include medical, dental, vision, life insurance, short-term disability, additional voluntary benefits, EAP program, and 401K plan. Our program provides employees the flexibility to choose the type of coverage that meets their individual needs. Available paid leave may include Paid Sick Leave, where required by law; any other paid leave required by Federal, State, or local law; and Holiday pay upon meeting eligibility criteria.
Equal Opportunity Employer/Veterans/Disabled
To read our Candidate Privacy Information Statement, which explains how we will use your information, please navigate to https://www.lhh.com/us/en/candidate-privacy
The Company will consider qualified applicants with arrest and conviction records in accordance with federal, state, and local laws and/or security clearance requirements.
Pay Details: $50.00 to $70.00 per hour
Search managed by: Sharanya Ram
Benefit offerings available for our associates include medical, dental, vision, life insurance, short-term disability, additional voluntary benefits, EAP program, commuter benefits and a 401K plan. Our benefit offerings provide employees the flexibility to choose the type of coverage that meets their individual needs. In addition, our associates may be eligible for paid leave including Paid Sick Leave or any other paid leave required by Federal, State, or local law, as well as Holiday pay where applicable.
Equal Opportunity Employer/Veterans/Disabled
Military connected talent encouraged to apply
To read our Candidate Privacy Information Statement, which explains how we will use your information, please navigate to https://www.lhh.com/us/en/candidate-privacy
The Company will consider qualified applicants with arrest and conviction records in accordance with federal, state, and local laws and/or security clearance requirements, including, as applicable:
  • The California Fair Chance Act
  • Los Angeles City Fair Chance Ordinance
  • Los Angeles County Fair Chance Ordinance for Employers
  • San Francisco Fair Chance Ordinance
Massachusetts Candidates Only: It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.