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1099 Data Engineer Jobs in Oregon (NOW HIRING)

Ohm Systems, Inc

Sr. Data Engineer

Beaverton, OR · On-site

$120K - $145K/yr

... 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 ...

Versapay

Senior Data Engineer

OR · On-site +1

$105K - $143K/yr

As a Senior Data Engineer, you will be pivotal in optimizing and scaling our foundational Snowflake architecture while aggressively pushing toward agentic engineering and machine learning operations.

Ohm Systems, Inc

Be Seen First

Sr. Data Engineer

Beaverton, OR · On-site

$70 - $75/hr

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 ...

Weight Watchers

Senior Data Engineer

OR · On-site +1

$105K - $143K/yr

We are seeking a seasoned Senior Data Engineer to drive scale, performance, and actionability within our data ecosystem. You will strengthen and scale our Python and Snowflake-based infrastructure ...

Netflix

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 power Netflix' understanding and decision making about what impact ads have on our business. This team ...

Wheelhouse

Senior Data Engineer

OR · On-site +1

$105K - $143K/yr

We are looking for a Senior Data Engineer to take ownership of this massive daily ingestion engine. Working within a Ruby on Rails and Resque environment, backed by AWS RDS Postgres and Aurora as ...

Cotiviti

Data Engineer - AI

$101K - $132K/yr

Using their technical experience in ETL processes, Data Engineers ensure operational functions are occurring as expected. This includes but is not limited to managing data implementations, data ...

A-dec, Inc. (USA)

Data Engineer, Staff

Newberg, OR · On-site

$120 - $180/hr

Overview The Staff Data Engineer independently plans, schedules, and leads data, analytics, and business intelligence projects of moderate scope or portions of major large‑scale projects, and ...

New

Human Interest

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 for Human Interest's data platform at a pivotal moment in Human Interest's growth. This role exists to ...

Avani Technology Solutions, Inc.

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 ...

Moda Health

Data Engineer I, II

Portland, OR · On-site +1

$78K - $110K/yr

Position Summary The Data Engineer role on the Data Science Team (DST) is responsible for designing, maintaining, and enhancing data integration pipelines that support the Enterprise Data Warehouse ...

Verve

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 growing set of initiatives. This is a fully remote, 40-hour per week contract position with the ...

LMI

Data Engineer (Vantage) - Clearance Required

$101K - $174K/yr

Overview LMI is seeking a Data Engineer to build the pipelines that power Army leadership decisions. You will transform raw data from authoritative Army sources into structured, actionable "Objects ...

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All Jobs1099 Data Engineer Jobs1099 Data Engineer Jobs in Oregon

1099 Data Engineer information

What is a 1099 data engineer?

A 1099 Data Engineer is an independent contractor who designs, builds, and manages data systems for organizations, typically working on a project or freelance basis rather than as a full-time employee. The '1099' refers to the IRS tax form used for reporting income earned by self-employed individuals or contractors in the United States. Unlike traditional employees, 1099 Data Engineers are responsible for their own taxes and benefits, and they often work with multiple clients. Their duties may include data integration, pipeline development, database management, and ensuring data reliability. This role is ideal for those seeking flexible work arrangements and a variety of projects.

What are the key skills and qualifications needed to thrive as a 1099 data engineer?

To thrive as a 1099 Data Engineer, you need strong expertise in data modeling, SQL, ETL development, and programming languages like Python or Scala, typically supported by a degree in computer science or a related field. Familiarity with cloud platforms (such as AWS, Azure, or GCP), big data tools (like Spark or Hadoop), and certifications in these technologies are highly valued. Excellent problem-solving, communication, and time-management skills are crucial for independently managing projects and client relationships. These competencies ensure efficient data solutions, reliable project delivery, and successful collaboration in a contract-based environment.

What are some common challenges faced by 1099 data engineers working as independent contractors?

As a 1099 Data Engineer, one of the main challenges is managing multiple client projects simultaneously while maintaining clear communication and meeting deadlines. Independent contractors are also responsible for their own tools, data security, and staying current with evolving technologies without direct employer support. Additionally, building trust with clients and consistently demonstrating value is essential, since contract extensions and new opportunities often depend on proven performance. Networking and self-promotion are key to securing a steady flow of projects.

What is the difference between 1099 Data Engineer vs W-2 Data Engineer?

Aspect1099 Data EngineerW-2 Data Engineer
Employment StatusIndependent contractor, self-employedEmployee of the company
CredentialsTypically required to have relevant skills and certifications, but no employer-provided credentialsSame credentials as 1099, often with additional company-specific training
Work EnvironmentRemote or on-site, project-basedUsually on-site or hybrid, with company benefits
Tax & BenefitsResponsible for own taxes, no benefitsEmployer handles taxes, provides benefits

In summary, a 1099 Data Engineer works independently, managing their own taxes and benefits, while a W-2 Data Engineer is employed directly by a company with standard employee benefits. Both roles require similar skills and certifications, but differ mainly in employment status and associated responsibilities.

What are popular job titles related to 1099 Data Engineer jobs in Oregon?

For 1099 Data Engineer jobs in Oregon, the most frequently searched job titles are:

What job categories do people searching 1099 Data Engineer jobs in Oregon look for?

The top searched job categories for 1099 Data Engineer jobs in Oregon are:

What cities in Oregon are hiring for 1099 Data Engineer jobs?

Cities in Oregon with the most 1099 Data Engineer job openings:

1099 Data Engineer jobs near you
Infographic showing various 1099 Data Engineer job openings in Oregon as of August 2026, with employment types broken down into 100% Contract. Highlights an 100% In-person job distribution.

Sr. Data Engineer

Ohm Systems, Inc

Beaverton, OR • On-site

$120K - $145K/yr

Other

Posted 6 days ago

Job description

Previos Nike experience is must have.
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

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