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Remote Data Jobs in Oregon (NOW HIRING)

NV5

Remote Sensing Technician

Overview The Remote Sensing Technician (RST) acquires airborne and Geodetic ground survey data. The ... Alternatively, the RST will be collecting ground data using GNSS survey tools, water monitoring ...

BECU

Data Analyst

OR · On-site +1

$68K - $127K/yr

As a Data Analyst,you'llturn data into meaningful insights that help drive smarter decisions across ... Remote or onsite, we are committed to ensuring you are fully engaged and included in our ...

BECU

Data Scientist

OR · On-site +1

$75K - $140K/yr

Remote or onsite, we are committed to ensuring you are fully engaged and included in our collaborative environment. IMPACT YOU'LL MAKE As a Data Scientist at BECU, you'll help shape how we understand ...

360training

Data Architect Manager

Job Title Data Architect Manager Department IT Data Reports to Chief Technology Officer Office ... This is a remote position and we are looking to hire in the following states: AZ, FL, GA, LA, NJ ...

HiddenLayer

Data Scientist

Portland, OR · Remote

Data Scientist Remote [within the US] ABOUT THE ROLE: We're looking for a Data Scientist to join our Data Sciences and ML Engineering team. You'll be building, shipping, and improving the models and ...

NinjaTrader

Sr. Data Engineer

OR · On-site +1

$100K - $150K/yr

This role is remote-friendly and reports to the Manager, Data & Analytics Engineering. As a Sr. Data Engineer, your primary responsibility is to stay one step ahead of your fellow team members by ...

Elite Technology

Data Architect

OR · Remote

$153K - $170K/yr

Remote What You'll Do: * Define and implement the data architecture strategy for our SaaS platform. * Define a data platform that allows strong data governance, sound operational control, and the ...

YipitData (Alternative)

Data Engineering Manager

OR · On-site +1

Our data and research teams transform raw data into strategic intelligence, delivering accurate ... This is a remote-friendly opportunity that can sit in NYC (where our headquarter is located), one ...

SOSi

Data Scientist

OR · On-site +1

SOSi is seeking a Data Scientist to support mission requirements for a structured approach to ... Full remote flexibility. Working at SOSi All interested individuals will receive consideration and ...

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All JobsData JobsRemote Data JobsRemote Data Jobs in Oregon

Remote Data information

See Oregon salary details

$48.6K

$174.5K

$257.4K

How much do remote data jobs pay per year?

As of Jul 8, 2026, the average yearly pay for remote data in Oregon is $174,471.00, according to ZipRecruiter salary data. Most workers in this role earn between $141,100.00 and $179,700.00 per year, depending on experience, location, and employer.

What are some common challenges faced when working as a Remote Data Analyst, and how can they be addressed?

Remote Data Analysts often face challenges such as maintaining effective communication with team members, managing access to secure data, and staying aligned with project goals across different time zones. These can be addressed by leveraging collaboration tools like Slack or Microsoft Teams, following strict data security protocols, and participating in regular virtual meetings to ensure everyone is on the same page. Proactive communication and strong organizational skills are key to thriving in a remote data role.

What is the difference between Remote Data vs Remote Data Analyst?

AspectRemote DataRemote Data Analyst
Required CredentialsBachelor's in Data Science, Computer Science, or related field; knowledge of databases and data toolsBachelor's in Data Science, Statistics, or related; proficiency in data analysis tools like Excel, SQL, and visualization software
Work EnvironmentRemote, often independent, with collaboration via online platformsRemote, involves analyzing data sets, creating reports, and communicating findings
Employer & Industry UsageTech companies, finance, healthcare, and e-commerceBusiness, marketing, finance, and tech sectors

Remote Data generally refers to roles focused on managing and processing data, while Remote Data Analyst emphasizes analyzing data to generate insights. Both roles often require similar educational backgrounds and work remotely, but Data Analysts typically focus more on interpreting data and creating reports for decision-making.

How can I make 2000 a week working from home?

Remote data roles such as data analyst or data scientist can offer high earning potential, with experienced professionals earning $2,000 or more weekly through project-based work, consulting, or full-time employment. Building skills in data analysis tools, programming languages, and obtaining relevant certifications can help increase earning capacity, especially when working independently or in specialized niches.

Are there real remote data entry jobs?

Yes, remote data entry jobs are available and involve inputting information into digital systems from home. These roles typically require basic computer skills, attention to detail, and sometimes familiarity with spreadsheet or database software. Legitimate positions are often posted on reputable job boards and do not require upfront fees.

How to make $1000 a week remotely?

Remote data roles such as data analyst or data scientist can generate $1000 or more weekly with experience, strong analytical skills, and proficiency in tools like Excel, SQL, or Python. Achieving this income often involves freelance projects, contract work, or full-time positions with high pay rates, and may require certifications or specialized knowledge in data management and analysis.

What are the key skills and qualifications needed to thrive as a Remote Data Analyst, and why are they important?

To thrive as a Remote Data Analyst, you need strong analytical skills, proficiency in statistics, and a background in data science or a related field. Familiarity with data analysis tools such as Python, R, SQL, and platforms like Tableau or Power BI, along with relevant certifications, is typically required. Excellent self-motivation, time management, and communication skills help you stand out in a remote environment. These capabilities are crucial for delivering accurate insights, collaborating effectively from a distance, and meeting business objectives efficiently.

Is 40 too late for data science?

Age is not a barrier to entering data science, and many professionals start or transition into the field later in life. Success depends on acquiring relevant skills such as programming, statistics, and machine learning, often through online courses or certifications, regardless of age.

What are remote data jobs?

Remote data jobs are positions that involve collecting, analyzing, managing, or interpreting data while working from a location outside the traditional office environment. These roles can include data analysts, data scientists, data entry specialists, and database administrators, among others. Remote data professionals use online tools and platforms to access and process data, collaborate with teams, and deliver insights or reports. This flexible work arrangement allows individuals to contribute to data-driven projects from anywhere with an internet connection.
What are the most commonly searched types of Data jobs in Oregon? The most popular types of Data jobs in Oregon are:
What are popular job titles related to Remote Data jobs in Oregon? For Remote Data jobs in Oregon, the most frequently searched job titles are:
What job categories do people searching Remote Data jobs in Oregon look for? The top searched job categories for Remote Data jobs in Oregon are:
What cities in Oregon are hiring for Remote Data jobs? Cities in Oregon with the most Remote Data job openings:
Remote Data jobs near you
Principal Data Architect | Remote

Principal Data Architect | Remote

Lifeway Christian Resources

Remote

Full-time

Medical, Retirement, PTO

Posted 22 days ago

Job description

Overview

Lifeway is seeking a Principal Data Architect to serve as a senior technical and strategic leader responsible for designing, governing, and evolving our enterprise data landscape. Working closely with our Business Intelligence and Master Data teams, you will set the architectural direction for data integration, warehousing, master data management, and AI-readiness across the organization. This is a remote role with significant cross-functional influence - ideal for a seasoned data architect who is energized by both technical depth and strategic leadership in a mission-driven environment.

Why Lifeway? 

Lifeway is a place where you can bring your faith and work experience to join in the most important mission in the world: making disciples of Jesus Christ. Whether you're a creator or storyteller, data guru or problem-solver, or anywhere in between, if you're passionate about serving the church, we have a place for you. Lifeway has a strong Work from Anywhere (WFA) culture that is deeply focused on our mission and values. While headquartered in Nashville, TN, many of our positions are remote-eligible and have autonomy and flexibility with work hours. We provide equipment and resources to ensure team members have access to a productive and ergonomic workspace. We believe building relationships and community is essential to how we work together, so Lifeway hosts all-team meetings several times per year and provides travel for key team gatherings for remote-based team members. Full-time employees are eligible for enrollment in our comprehensive benefits plans including healthcare, vacation and sick time, holiday pay, care days, 401(k) plan, maternity and paternity leave, adoption assistance, mission trip time, and more.If this sounds like a place where you would be excited to serve the kingdom of God, we would love for you to join our team.

Learn more about our culture at team.lifeway.com/culture-code 

This is a remote position in the U.S. with occasional travel to Nashville for in-person team gatherings. #LI-Remote 

Responsibilities
  • Lives out Lifeway's mission and values, showing deep commitment to Kingdom work
  • Define and maintain the enterprise data architecture roadmap, aligning data strategy with long-term business priorities and technology goals
  • Lead the design and evolution of data platforms including data warehouse and lake-house architecture
  • Develop and champion a Data Mesh strategy enabling domain-oriented data ownership, self-serve data infrastructure, and federated governance
  • Architect and oversee enterprise data integration patterns including batch ETL, real-time streaming, and event-driven architectures
  • Establish standards for data pipelines, transformation logic, lineage tracking, and integration frameworks across on-premises and cloud environments
  • Lead efforts to make the organization's data AI-ready to support machine learning and AI applications
  • Drive adoption of data contracts and data product thinking to improve reliability and trust in data assets
  • Lead the design of Master Data Management integrations and provide technical leadership across MDM initiatives
  • Act as a strategic advisor on data initiatives across business units, ensuring architectural soundness and alignment with enterprise standards
  • Provide technical mentorship and architectural guidance to data engineers, BI developers, and MDM Software Engineers
  • Limited travel: 2-4 times per year, typically overnight
Qualifications

Education

Bachelor's degree Computer Science, Data Engineering, or a related field, required

Masters degree in a related field, preferred

Advanced graduate degree (PhD, etc.), not required

Skills, Knowledge, & Experiences, required

  • 10+ years of progressive experience in data engineering, software development, or data architecture roles
  • 5+ years in a senior or principal-level data architecture capacity with ownership of enterprise-scale data programs
  • Deep expertise in data warehousing strategies (Inmon, Kimball, lake-house architecture)
  • Proven experience designing Data Mesh architecture including domain ownership models and data product definitions
  • Strong background in ETL/ELT design and data integration patterns including batch, micro-batch, and streaming
  • Hands-on experience with enterprise integration platforms (Kafka, dbt, Airflow or equivalents)
  • Experience with cloud data platforms such as Snowflake, Microsoft Fabric, or Google BigQuery
  • Proficiency in Python, SQL, Scala, or Java with experience in modern software delivery practices
  • Deep knowledge of Master Data Management principles, tooling, and implementation patterns
  • Ability to travel to the Middle Tennessee area 2-4 times annually for team gatherings 

Actively involved in an evangelical Christian church

Skills, Knowledge, & Experiences, preferred 

  • Master's degree in Computer Science, Data Engineering, or a related field
  • Familiarity with data cataloging, metadata management, and data observability tools
  • Experience with data governance frameworks and regulatory compliance requirements
  • Ability to build and present data architecture roadmaps tied to measurable business outcomes
Employment Type: FULL_TIME

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