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Data Engineering Jobs in Oregon (NOW HIRING)

$114.40K - $137.40K/yr

Maintain data engineering processes using a variety of tools including T-SQL, Spark and Scala, and shell scripting. Generally focused on data ingestion for healthcare data management, data validation ...

In data engineering at PwC, you will focus on designing and building data infrastructure and systems to enable efficient data processing and analysis. You will be responsible for developing and ...

$114.40K - $137.40K/yr

Maintain data engineering processes using a variety of tools including T-SQL, Spark and Scala, and shell scripting. Generally focused on data ingestion for healthcare data management, data validation ...

Data Engineer

OR · Remote

$114.40K - $137.40K/yr

Job Level Sr. Eng I-II Requirements * 5+ years of Data Engineering or Backend Engineering experience , specifically dealing with massive, high-velocity datasets (multi-TB scale) and 10+ years overall ...

OR · On-site

$100K - $110K/yr

This role extends beyond traditional data engineering to include system-to-system integration using Boomi, orchestration of business-critical workflows, and active participation in the design and ...

OR · On-site

$114.40K - $137.40K/yr

Partner with platform engineering, security, analytics, and application teams to align ontology design with operational needs. * Communicate complex ontology and data concepts clearly to both ...

OR · On-site

$89K - $148K/yr

A minimum of Four (4) to Eight(8) years of experience in data engineering with at least 2+ years working in AWS cloud environments. * Strong expertise in AWS data services, including S3, Glue, DMS ...

OR · On-site

$114.40K - $137.40K/yr

Develop reusable frameworks, libraries, and standardized patterns to improve data engineering productivity and consistency. * Implement CI/CD pipelines for data workloads to enable automated testing ...

OR · On-site

$114.40K - $137.40K/yr

What You Will Do Data Engineering * Design, build, andmaintainELT/ETL pipelines that move data reliably from source systems into a cloud data warehouse environment. * Write clean, performant, and ...

New

OR

$114.40K - $137.40K/yr

This role sits at the intersection of high-performance database engineering and developer experience. You'll craft tools that enable Data Engineers and Data Scientists to harness ClickHouse's speed ...

$122.21K - $180.57K/yr

Minimum of 5 years of hands-on data engineering experience in enterprise or DoD environments * Strong proficiency in SQL and Python (or Scala) for data transformation and pipeline development

OR

$114.40K - $137.40K/yr

The Security Data Engineering team builds data products which provide visibility into security and fraud risks across customer accounts as well as internal systems and data. This role is specifically ...

OR · Hybrid

$170K - $720K/yr

The Security Data Engineering team builds data products which provide visibility into security, fraud and technology risks across customer accounts as well as internal systems and data. This role is ...

Data Engineer

$114.40K - $137.40K/yr

... Data Engineering Background Requirements: Must possess or be eligible to obtain and complete a Public Trust background investigation and/or a Public Trust clearance. Citizenship Status Required: Must ...

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Showing results 1-20

Data Engineering information

See Oregon salary details

$48.6K

$174.5K

$257.4K

How much do data engineering jobs pay per year?

As of May 31, 2026, the average yearly pay for data engineering 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 is a Data Engineering job?

A Data Engineering job involves designing, building, and maintaining the infrastructure that enables efficient data collection, storage, and processing. Data Engineers develop pipelines to transform raw data into usable formats for analytics and machine learning. They work with databases, big data technologies, and cloud platforms to ensure data is accessible and reliable. Their role is crucial for organizations to make data-driven decisions and optimize business processes.

What are the key skills and qualifications needed to thrive in the Data Engineering position, and why are they important?

To thrive in Data Engineering, you need a solid background in programming (such as Python, Java, or Scala), data modeling, and database management, typically supported by a degree in computer science or a related field. Familiarity with ETL tools, cloud platforms like AWS or Azure, big data frameworks (e.g., Hadoop, Spark), and relevant certifications is highly valued. Strong problem-solving abilities, effective communication, and the ability to work collaboratively across teams are key soft skills for this role. These attributes are crucial for designing robust data pipelines, ensuring data quality, and enabling organizations to make data-driven decisions efficiently.

What are the typical daily responsibilities of a Data Engineer?

Data Engineers regularly design, build, and maintain scalable data pipelines to support analytics and business intelligence teams. Their daily tasks often involve working with large datasets, optimizing data storage, ensuring data integrity, and troubleshooting data-related issues. Collaboration with data scientists, analysts, and software engineers is common to align on data requirements and improve workflows. You may also participate in regular code reviews and contribute to the ongoing improvement of data infrastructure. This role is ideal for problem-solvers who enjoy working with both code and complex systems in a collaborative, fast-paced environment.
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 job categories do people searching Data Engineering jobs in Oregon look for? The top searched job categories for Data Engineering jobs in Oregon are:
What cities in Oregon are hiring for Data Engineering jobs? Cities in Oregon with the most Data Engineering job openings:
Infographic showing various Data Engineering job openings in Oregon as of May 2026, with employment types broken down into 76% Full Time, 20% Contract, and 4% Nights. Highlights an 96% In-person, and 4% Remote job distribution, with an average salary of $174,471 per year, or $83.9 per hour.
Data Engineer

$114.40K - $137.40K/yr

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted 15 days ago


Cotiviti rating

8.3

Company rating: 8.3 out of 10

Based on 33 frontline employees who took The Breakroom Quiz

37th of 203 rated it services


Job description

Overview

This role is expected to work Monday through Friday from 9:00 AM Pacific to 6:00 pm Pacific

At Cotiviti, we are custodians of data for our clients. 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 production, data quality, and data security.

Responsibilities
  • Oversee ETL processes to ensure their success, with the primary responsibility of providing accurate and timely data across various products to support the company's revenue generation.
  • Maintain data pipelines running on proprietary big data processing platform and providing support to make sure data delivery SLAs are met.
  • Maintain data engineering processes using a variety of tools including T-SQL, Spark and Scala, and shell scripting. Generally focused on data ingestion for healthcare data management, data validation, statistical report generation, and program validation.
  • Develop, support, and improve scalable and efficient data ingestion processes and techniques aimed at enhancing process efficiencies and optimizing query performance for our proprietary data applications and systems.
  • Implement and perform data validation and quality checks to maintain high data integrity.
  • Perform troubleshooting, data analysis, data mining, investigations and identifying root cause of issues using several cutting-edge data analysis tools in a fast-paced environment.
  • Collaborate with stakeholders to understand data requirements and deliver high-quality data solutions.
  • Work with Technical Operations to troubleshoot complex database issues related to the entire environment including OS, storage, and servers.
  • Provide off hours support to resolve production issues when necessary.
  • Develop data transformation specifications to convert source data to be loaded into target data warehouse tables using SQL and other Data Integration/ETL tools. 
  • Support the implementation of data governance policies and security measures to protect sensitive information.
  • Create and maintain dashboards as needed.
  • Participate in meetings with clients and/or stakeholders.
  • Complete individual productivity tracking
  • Complete task assignments using department ticketing system within assigned deadline.
  • Achieve organizational and individual goals as identified in performance reviews and goal setting exercises.
  • Complete all special projects and other duties as assigned.
  • Must be able to perform duties with or without reasonable accommodation.

This job description is intended to describe the general nature and level of work being performed and is not to be construed as an exhaustive list of responsibilities, duties and skills required. This job description does not constitute an employment agreement and is subject to change as the needs of Cotiviti and requirements of the job change.  

Qualifications
  • Bachelor's degree in Computer Science, Information Technology or equivalent work experience.
  • 2+ years of working knowledge of RDBMS (Oracle, MS SQL, Vertica, etc.) and experience using SQL, PL/SQL or other data integration/ETL tools.
  • 2+ years of experience in data engineering, data analysis, or a related field with a strong track record of building and managing data pipelines. 
  • 2-4 years' experience with data aggregation, standardization, linking, quality check mechanisms, and reporting.
  • 2-4 years' experience with big data technologies like Hadoop and Spark.
  • Proficient and experienced in analyzing, designing, and developing solutions and strategies involving relational databases (e.g., Oracle, Vertica, SQL Server), ETL tools (e.g., SSIS, ODI, Informatica), and data warehousing concepts.
  • Solid understanding of Linux environments; strong knowledge of shell scripting and file systems.
  • Knowledge of US healthcare data, preferably in data operations role, is a plus.
  • Ability to analyze data with a high level of detailed accuracy, identify root causes of issues, and demonstrate problem-solving skills to troubleshoot data-related issues.
  • Experience in coding principles and the ability to follow best practices for developing and deploying code for data manipulation and automation.
  • Experience in at least one programming language such as Python, Java, Scala or Powershell.
  • Knowledge of data governance principles, data quality, and data lifecycle management a plus.
  • Proficient in Microsoft Office Suite applications PowerPoint, Word, Excel and Outlook.
  • Flexible work schedule.
  • Experience with project management tools like JIRA.
  • Strong analytical skills
  • Quick Learner, energetic and flexible
  • Excellent verbal, listening and written communication skills.
  • Ability to multitask and prioritize projects to meet scheduled deadlines and tight turnaround times.

Mental Requirements:

  • Exceptional communication, problem-solving, and leadership skills.
  • Advanced analysis, problem-resolution, judgment, and decision-making capabilities.
  • Ability to prioritize and execute complex tasks in a high-pressure environment independently.
  • Strong results orientation, initiative, attention to detail, and customer service focus.
  • Expert time management skills, balancing daily operations, projects, and mentorship.
  • Ability to independently prioritize, re-prioritize, and manage multiple complex tasks.

Physical Requirements and Working Conditions:

  • Remaining in a stationary position, often standing or sitting for prolonged periods.
  • Repeating motions that may include the wrists, hands and/or fingers.
  • Must be able to provide high-speed internet access / connectivity and office setup and maintenance.
  • Must be able to provide a dedicated, secure work area.
  • No adverse environmental conditions expected.

Base compensation ranges from $80,000 to $112,000 per year. Specific offers are determined by various factors, such as experience, education, skills, certifications, and other business needs.

Cotiviti offers team members a competitive benefits package to address a wide range of personal and family needs, including medical, dental, vision, disability, and life insurance coverage, 401(k) savings plans, paid family leave, 9 paid holidays per year, and 17-27 days of Paid Time Off (PTO) per year, depending on specific level and length of service with Cotiviti. For information about our benefits package, please refer to our Careers page.

Date of Posting: 5/28/2026.

We anticipate that the application window will close on 7/28/2026, but the application window may change depending on the volume of applications received or close immediately if a qualified candidate is selected.

Since this job will be based remotely, all interviews will be conducted virtually.

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Employment Type: OTHER

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