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From Home Data Engineer Jobs in Oregon (NOW HIRING)

Data Engineer

Beaverton, OR · On-site

$119K - $143K/yr

They work with large amounts of data from various sources, and ensure that data is accessible and ... Skills Data engineer Responsibilities Establishes database management systems, standards ...

OR · On-site

$111K/yr

Data Engineer needed for Planet Equity Group located in Westlake, OH. Perform data engineering tasks, including data modeling, data pipeline development, and cube development. Work with relational ...

Data engineer

Beaverton, OR · On-site

$120K - $144K/yr

Data Engineer Primary Responsibilities • Support Data Science team by applying data mining techniques, feature engineering, algorithm optimization and scaling machine learning models in big data ...

Industrial Data Engineer

Sisters, OR · On-site

$114K - $137K/yr

... Integrate data from SCADA systems, including Ignition, FactoryTalk, Wonderware and similar ... engineering teams, and business users. · Connect software and data solutions with existing ...

We are looking for a Data Engineer to support our Enterprise Data Management team. If you are ... work from home program. This program is subject to change. FISHER INVESTMENTS IS AN EQUAL ...

We are looking for a Data Engineer to support our Enterprise Data Management team. If you are ... work from home program. This program is subject to change. FISHER INVESTMENTS IS AN EQUAL ...

OR

$114K - $137K/yr

Implementing systems engineering principles to ensure the reliability, scalability, and ... Experience in creating data pipelines from scratch with the ability to process data in large ...

OR

$114K - $137K/yr

About this role As a Principal Data Engineer, you will play a key role in developing our modern ... Own the end-to-end data lifecycle, from ingestion and transformation to reporting and governance.

Data Engineer, Encounters Intelligence

OR · On-site +1

$155K - $220K/yr

Data Engineer, Encounters Intelligence AcuityMD is a software and data platform that accelerates ... We provide a work-from-home stipend for all employees. * Flexible PTO : Generous time off and ...

Data Engineer

$114K - $137K/yr

Learn more at www.dminc.com About the Opportunity DMI, LLC is seeking a Data Engineer to join us. Duties and Responsibilities: * Builds and modernizes data pipelines * integrations to improve ...

Financial Data Engineer

Beaverton, OR · On-site

$119K - $143K/yr

Overview As our Financial Data Engineer, you'll help drive Concora Credit's Mission to enable ... Become an expert on the complete data cycle for finance from ingestion to reporting. * Identify ...

Financial Data Engineer

Beaverton, OR

$119K - $143K/yr

Overview As our Financial Data Engineer, you'll help drive Concora Credit's Mission to enable ... Become an expert on the complete data cycle for finance from ingestion to reporting. * Identify ...

Data Engineer (MedInsight)

Portland, OR · On-site +1

$93K - $177K/yr

... from Milliman now or in the future. Company Overview: Leading with our core values of Quality ... We are seeking a skilled and driven Data Engineer to design, build, and optimize scalable data ...

Financial Data Engineer

Beaverton, OR · On-site

$119K - $143K/yr

As our Financial Data Engineer, you'll help drive Concora Credit's Mission to enable customers to ... Become an expert on the complete data cycle for finance from ingestion to reporting. * Identify ...

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From Home Data Engineer information

What is a From Home Data Engineer?

A From Home Data Engineer is a professional who designs, builds, and maintains data systems and infrastructure while working remotely. They are responsible for collecting, processing, and storing large amounts of data, ensuring that it is accessible and usable for analysis. These engineers often use tools like SQL, Python, and cloud platforms such as AWS or Azure to manage data pipelines. Working from home, they collaborate with team members virtually to support business intelligence and data analytics needs.

How to make 1000 a week remote?

A remote data engineer can earn $1,000 or more weekly by working on high-demand projects, leveraging skills in data pipeline development, cloud platforms, and programming languages like Python or SQL. Increasing income may involve taking on multiple freelance contracts, specializing in niche areas, or obtaining relevant certifications to access higher-paying opportunities.

What engineers make $500,000?

Senior data engineers with extensive experience, advanced skills in cloud platforms, and expertise in big data tools can earn salaries approaching or exceeding $500,000 annually, especially in high-cost-of-living areas or within large tech companies. Achieving this level often requires specialized certifications, leadership roles, and a strong track record of managing complex data infrastructure.

How to make 2000 a week working from home?

A from home data engineer can earn $2,000 a week by taking on multiple freelance or contract projects, specializing in high-demand skills like cloud computing or data pipeline development, and maintaining a strong portfolio. Building expertise in tools such as SQL, Python, and cloud platforms like AWS can increase earning potential. Consistent client acquisition and efficient project management are essential to reach this income level.

Can you work from home as a data engineer?

Yes, many data engineering roles can be performed remotely, especially those involving tasks like data pipeline development, database management, and cloud computing. Employers often require proficiency with tools such as SQL, Python, and cloud platforms, and remote work arrangements depend on company policies and project needs.

How do From Home Data Engineers typically collaborate with team members and stakeholders given the remote work setup?

From Home Data Engineers often rely on digital collaboration tools such as Slack, Zoom, and project management platforms to communicate with fellow engineers, data analysts, and business stakeholders. Regular virtual meetings, code reviews, and shared documentation help ensure everyone is aligned on project goals and timelines. While working remotely can present challenges like time zone differences and fewer face-to-face interactions, successful data engineers proactively schedule check-ins and participate in team channels to stay connected and maintain strong working relationships.

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

To thrive as a From Home Data Engineer, you need strong proficiency in programming languages like Python or Scala, a solid understanding of database systems, and typically a degree in computer science or a related field. Familiarity with big data technologies (such as Hadoop, Spark), cloud platforms (AWS, Azure, GCP), and relevant certifications like AWS Certified Data Analytics are highly valued. Excellent problem-solving skills, self-motivation, and effective virtual communication are vital soft skills in remote settings. These skills and qualities enable efficient data processing, collaboration, and delivery of reliable analytics solutions while working independently from home.

What is the difference between From Home Data Engineer vs From Home Data Analyst?

AspectFrom Home Data EngineerFrom Home Data Analyst
Required CredentialsBachelor's in CS, Engineering, or related; experience with cloud platformsBachelor's in Statistics, Math, or related; proficiency in data visualization tools
Work EnvironmentRemote, often collaborating with engineering teamsRemote, working with business teams to interpret data
Industry UsageTech, finance, healthcare, and moreRetail, marketing, finance, and other sectors
Common Search/ComparisonFrom Home Data Engineer vs From Home Data Analyst

While both roles involve working with data remotely, From Home Data Engineers focus on building data pipelines and infrastructure, whereas From Home Data Analysts interpret data to support business decisions. Understanding these differences helps in choosing the right career path or job search focus.

What are the most commonly searched types of Data Engineer jobs in Oregon? The most popular types of Data Engineer jobs in Oregon are:
What cities in Oregon are hiring for From Home Data Engineer jobs? Cities in Oregon with the most From Home Data Engineer job openings:

Data Engineer

campus4tech

Beaverton, OR • On-site

$119K - $143K/yr

Full-time

Posted 15 days ago


Job description

Job Title- Data Engineer 5
Location- Beaverton, OR, United States, 97005
Reporting Type- Onsite
Duration: 9+ Months
Summary
GT Title: Data Engineer
Requirements
Typically requires a Bachelors Degree and minimum of 10 years directly relevant experience; experience should include comprehensive experience as a business/process leader or industry expert Note: One of the following alternatives may be accepted: - PhD or Law + 8 yrs; Masters + 9 yrs; Associates degree + 11 yrs; High School + 12 yrs.
Comments for Suppliers: Must be onsite at Client HQ in Beaverton for Hybrid schedule, 4:1.
Data engineers build and maintain systems that collect, manage, and transform data into usable information. They work with large amounts of data from various sources, and ensure that data is accessible and flows smoothly to its destination.
Must have 4-6 years of experience with:
Databricks
AWS
Apache Spark
Python
PySpark
Previous Clients experience a plus. Any ETWs let go at the end of 05/31 can be considered since a 90 day break would be fulfilled.
Skills
Data engineer
Responsibilities
Establishes database management systems, standards, guidelines and quality assurance for database deliverables, such as conceptual design, logical database, capacity planning, external data interface specification, data loading plan, data maintenance plan and security policy. Documents and communicates database design. Evaluates and installs database management systems. Codes complex programs and derives logical processes on technical platforms. Builds windows, screens and reports. Assists in the design of user interface and business application prototypes. Participates in quality assurance and develops test application code in client server environments. Provides expertise in devising, negotiating and defending the tables and fields provided in the database. Adapts business requirements, developed by modeling/development staff and systems engineers, and develops the data, database specifications, and table and element attributes for an application. At more experienced levels, helps to develop an understanding of client's original data and storage mechanisms. Determines appropriateness of data for storage and optimum storage organization. Determines how tables relate to each other and how fields interact within the tables for a relational model.