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From Home Data Engineer Jobs in Oregon (NOW HIRING)

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Sr. Data Engineer

Beaverton, OR · On-site

$70 - $75/hr

... in engineering * Implement distributed data processing pipelines using tools and languages ... We would love to hear from candidates who embody the same: * Desire to work collaboratively with ...

Sr. Data Engineer

Beaverton, OR · On-site

$120K - $145K/yr

... in engineering · Implement distributed data processing pipelines using tools and languages ... We would love to hear from candidates who embody the same: · Desire to work collaboratively with ...

Senior Data Engineer

OR · On-site +1

$105K - $143K/yr

The Analytics team is evolving our enterprise capabilities from foundational governance into a ... As a Senior Data Engineer, you will be pivotal in optimizing and scaling our foundational Snowflake ...

Senior Data Engineer

OR · On-site +1

$105K - $143K/yr

Lead projects from inception to production, taking accountability for data integrity and the ... Experience: 5+ years in data engineering, with at least 2+ years focused on distributed, large ...

Sr Data Engineer

Beaverton, OR · On-site

$120K - $145K/yr

Translate product backlog items into logical units of work in engineering * Implement distributed data processing pipelines using tools and languages prevalent in the big data ecosystem * Build ...

Data Engineer (L5) - Ads

OR · On-site +1

$380K - $610K/yr

About the team Ads Data Engineering team sits at the core of building a data ecosystem that will ... We are hiring for several different roles, ranging from senior to staff level for this team. Who ...

Senior Data Engineer

OR · On-site +1

$105K - $143K/yr

About the role As a Senior Data Engineer on the Data Access team, you will be a technical anchor ... Monthly work-from-home stipend; quarterly lifestyle stipend * Engaging team-building experiences ...

Data Engineer, Staff

Newberg, OR · On-site

$120 - $180/hr

Overview The Staff Data Engineer independently plans, schedules, and leads data, analytics, and ... Use APIs to push and pull data from various data systems and platforms. * Ability to write clear ...

New

Data Engineer - AI

$101K - $132K/yr

Using their technical experience in ETL processes, Data Engineers ensure operational functions are ... Base compensation ranges from $101,000 to $132,000 per year. Specific offers are determined by ...

Data Engineer (Remote / Contract)

OR · On-site +1

$114K - $137K/yr

We are looking for a Data Engineer to join our engineering team to help us manage our diverse and ... Communications regarding your application will only come from @jungroup.com or @verve.com email ...

Purpose The BI (Business Intelligence) Data Engineer will be responsible for designing ... users from a variety of departments. Success in this position requires self-motivation, strong ...

Staff Data Engineer

OR · On-site +1

$130K - $150K/yr

We'll be at our best when people from underrepresented communities and people with a range of ... for home offices Cell phone service reimbursement, meal and ride-share reimbursement, and other ...

Data Engineer

Portland, OR · On-site

$121K - $145K/yr

Common Technical Skills For all teams: a. AWS (S3, SNS, SQS, API Gateway,...(and standard stacks)) b. Authentication c. BMX Jenkins with declarative pipelines d. Waffle Iron e. Terraform or Cloud ...

Senior/Principal Data Engineer

OR · On-site +1

$125K - $172K/yr

You will report to data engineering leadership and setting the technical direction for our clinical ... Work-from-Home Stipend: A dedicated stipend for your first year to help set up your home office.

Showing results 41-60

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.

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

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.

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 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:

Sr. Data Engineer

Ohm Systems, Inc

Beaverton, OR • On-site

$70 - $75/hr

Contractor

This job post has expired 1 day ago. Applications are no longer accepted.


Job description

Manager Notes:

  • On-site role at WHQ; typical work hours, 4/1 hybrid schedule 
  • Degree will be required for this role 
  • AWS, Databricks certifications nice to have, not required 
  • 10+ years’ experience minimum preferred in a data-related role
  • Prior Nike experience required


Top must-have skills include the following: 

  • Databricks 
  • Spark 
  • Python 
  • Snowflake 
  • SQL 
  • Experience with AI tools and initiatives 
  • Excellent communication skills 
  • Skills that would make a candidate stand out: 
  • Experience with/knowledge of finance domain 
  • Experience with data analytics and BI tools

WHAT YOU WILL WORK ON

Role Responsibilities:

  • Contribute to Design and implement data products and features in collaboration with product owners, data analysts, and business partners using Agile / Scrum methodology
  • Contribute to overall architecture, frameworks and patterns for processing and storing large data volumes
  • Contribute to evaluation of new technologies/tools/frameworks centered around high-volume data processing
  • Translate product backlog items into logical units of work in engineering
  • Implement distributed data processing pipelines using tools and languages prevalent in the big data ecosystem
  • Build utilities, user defined functions, libraries, and frameworks to better enable data flow patterns
  • Work with engineering leads and other teams to ensure quality solutions are implemented, and engineering best practices are defined and followed
  • Build and incorporate automated unit tests and participate in integration testing efforts
  • Utilize and advance continuous integration and deployment frameworks
  • Troubleshoot data issues and perform root cause analysis
  • Work across teams to resolve operational & performance issues

WHAT YOU BRING

The following qualifications and technical skills will position you well for this role:

  • Bachelor’s degree in Computer Science, or related technical discipline
  • 10+ years of experience in large-scale software development, 5+ years of big data experience
  • Extensive AI knowledge and experience.
  • Programming experience, Python or Scala preferred.
  • Experience working with Hadoop and related processing frameworks such as Spark, Hive, etc.
  • Experience with messaging/streaming/complex event processing tooling and frameworks
  • Experience with data warehousing concepts, SQL and SQL Analytical functions
  • Experience with workflow orchestration tools like Apache Airflow
  • Experience with source code control tools like Github or Bitbucket
  • Ability to communicate effectively, both verbally and written, with team members
  • Interest in and ability to quickly pick up new languages, technologies, and frameworks
  • Experience in Agile/Scrum application development

 

The following skills and experience are also relevant to our overall environment, and nice to have:

  • Experience with Java
  • Experience working in a public cloud environment, particularly AWS, databricks
  • Experience with cloud warehouse tools like Snowflake
  • Experience working with NoSQL data stores such as HBase, DynamoDB, etc.
  • Experience building RESTful API’s to enable data consumption
  • Experience with build tools such as Terraform or CloudFormation and automation tools such as Jenkins or Circle CI
  • Experience with practices like Continuous Development, Continuous Integration and Automated Testing

 

These are the characteristics that we strive for in our own work. We would love to hear from candidates who embody the same:

  • Desire to work collaboratively with your teammates to come up with the best solution to a problem
  • Demonstrated experience and ability to deliver results on multiple projects in a fast-paced, agile environment
  • Excellent problem-solving and interpersonal communication skills
  • Strong desire to learn and share knowledge with others

Company Description

Ohm Systems, Inc. specializes in IT and Healthcare staffing services, dedicated to linking highly skilled professionals with our public and private clients across the United States. Our track record showcases our commitment to delivering outstanding staffing and consultancy solutions to our clients. We prioritize diversity and inclusivity and take pride in being an employer that promotes equal opportunities and affirmative action. Our goal is to foster an inclusive work environment that embraces individuals from all backgrounds, irrespective of their gender, race, or orientation.