1

Data Integrity Engineer Jobs in Oregon (NOW HIRING)

$114K - $137K/yr

Maintain data engineering processes using a variety of tools including T-SQL, Spark and Scala, and ... Implement and perform data validation and quality checks to maintain high data integrity. * Perform ...

$54.75 - $71/hr

The Data Modeler will work closely with project managers, business analysts, developers, architects ... Validate data integrity and migration accuracy. * Identify and resolve data quality issues.

... data integrity across systems and stakeholders. With a minimum of 10 years of industry experience ... and developers, to identify optimization opportunities and develop innovative, data-driven ...

Senior Data Engineer AI

$140K - $165K/yr

... maintain data integrity. * Complete task assignments using department ticketing/productivity ... Experienced in implementing data pipelines with data engineering best practices in SQL, Spark and ...

Senior Data Analyst

OR · Remote

$85K - $108K/yr

Maintain Data Integrity - Implement validation, monitoring, and reconciliation frameworks to ensure ... engineering roles * Strong SQL and cloud data fundamentals, with hands-on experience in Snowflake ...

Data Engineer

$90K - $135K/yr

... integrity of our data footprint within warehouse. SKILLS & COMPETENCIES Design and develop ELT ... Collaborate with the engineering team to integrate analytical solutions into production systems.

$114K - $137K/yr

KeyLogic is seeking Databricks Engineers to join our growing team supporting the Department of ... Ensure data quality and integrity throughout the data lifecycle * Automate repetitive tasks to ...

OR · On-site

... integrity or system performance. * Architect real-time and batch data pipelines using Apache Kafka ... Partner with Platform and Backend engineers to standardize data interaction patterns, ensuring high ...

Data Engineer

$114K - $137K/yr

Learn more at www.dminc.com About the Opportunity DMI, LLC is seeking a Data Engineer to join us ... Do What's Right - We lead with honesty and integrity. * Own the Outcome - We take responsibility ...

Director, Data Engineering

OR · On-site +1

$155K - $288K/yr

... integrity. * Build Scalable Data Pipelines: Oversee the design and operation of batch and real-time ... Relevant certifications preferred, such as cloud provider certifications (e.g., Azure Data Engineer ...

The Analyst partners closely with the Quality Systems Engineer to translate real-world quality ... Strong attention to detail and commitment to data accuracy and integrity. * Ability to follow and ...

Reporting to the VP of Engineering, you'll operate as a true division leader-building systems ... Establish and refine data governance, data integrity, and best practices to ensure high-quality ...

The ideal candidate will combine strong healthcare data knowledge, technical expertise with leadership skills to ensure data integrity, compliance, and readiness for engineering execution. Payer Data ...

next page

Showing results 1-20

Data Integrity Engineer information

Is AI replacing data engineers?

AI is automating certain tasks within data engineering, such as data cleaning and pipeline management, but it does not replace the need for data engineers. Data engineers are essential for designing, building, and maintaining complex data systems, and their expertise remains critical for ensuring data quality, security, and integration. AI tools serve as complementary technologies that enhance efficiency but do not eliminate the role of data engineers.

What are the 4 types of data integrity?

Data integrity in a Data Integrity Engineer role refers to the accuracy, consistency, and reliability of data throughout its lifecycle. The four main types are physical integrity (protection against physical damage), logical integrity (accuracy and consistency of data within databases), referential integrity (maintaining valid relationships between data tables), and data integrity constraints (rules enforcing data validity). Ensuring these types involves implementing validation, access controls, and audit mechanisms to maintain high-quality data in organizational systems.

What does an integrity engineer do?

An integrity engineer is responsible for ensuring the accuracy, consistency, and reliability of data within an organization. They develop and implement data validation, monitoring, and quality control processes, often using tools like SQL, Python, or data management software, to maintain data integrity across systems.

What is the difference between Data Integrity Engineer vs Data Quality Analyst?

AspectData Integrity EngineerData Quality Analyst
Primary FocusEnsuring accuracy, consistency, and security of data across systemsAssessing and improving data quality, completeness, and usability
Skills & CertificationsDatabase management, SQL, data governance, certifications like CDMPData analysis, data profiling, quality frameworks, certifications like CDMP
Work EnvironmentIT teams, data engineering, database administrationBusiness analysis, data analysis teams, quality assurance
Industry UsageTech, finance, healthcare, where data security is criticalRetail, marketing, finance, focusing on data usability

While both roles focus on data, Data Integrity Engineers primarily ensure data security and consistency across systems, whereas Data Quality Analysts focus on assessing and improving data quality for business insights. Both roles often collaborate but serve distinct functions within data management.

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

To thrive as a Data Integrity Engineer, you need strong analytical skills, a background in computer science or information systems, and experience with data management principles. Familiarity with database platforms (such as SQL), data validation tools, and knowledge of regulatory compliance standards are typically required. Attention to detail, problem-solving ability, and effective communication help ensure data accuracy and facilitate collaboration across teams. These skills are critical for maintaining reliable, secure, and compliant data systems that support informed business decisions.

What engineers make $500,000?

Senior engineers in high-demand fields such as software, data engineering, and specialized engineering roles can earn $500,000 or more annually, especially with experience, advanced skills, and in certain industries like technology or finance. Compensation often includes base salary, bonuses, and stock options, and reaching this level typically requires extensive expertise and leadership responsibilities.

What are Data Integrity Engineers?

Data Integrity Engineers are professionals responsible for ensuring the accuracy, consistency, and reliability of data within an organization’s systems. They design and implement processes to prevent data corruption, loss, or unauthorized modification. These engineers work closely with database administrators, data analysts, and IT teams to monitor data flows, validate data quality, and enforce data governance policies. Their role is crucial in industries where high-quality data is essential for decision-making, compliance, and operational efficiency.

What are some common challenges Data Integrity Engineers face when ensuring data quality across large, complex systems?

Data Integrity Engineers often encounter challenges such as managing data consistency across multiple databases, identifying and resolving discrepancies caused by data migrations, and ensuring compliance with regulatory standards. Additionally, they must frequently collaborate with software developers and database administrators to implement automated validation processes and address data anomalies promptly. Staying updated with evolving best practices and tools is crucial, as data environments and requirements can change rapidly in large organizations.
What are popular job titles related to Data Integrity Engineer jobs in Oregon? For Data Integrity Engineer jobs in Oregon, the most frequently searched job titles are:
What job categories do people searching Data Integrity Engineer jobs in Oregon look for? The top searched job categories for Data Integrity Engineer jobs in Oregon are:
What cities in Oregon are hiring for Data Integrity Engineer jobs? Cities in Oregon with the most Data Integrity Engineer job openings:
Data Engineer - Hours are Sat thru Wed 9-6 PT

Data Engineer - Hours are Sat thru Wed 9-6 PT

Cotiviti

$114K - $137K/yr

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted 5 days ago


Cotiviti rating

8.3

Company rating: 8.3 out of 10

Based on 33 frontline employees who took The Breakroom Quiz

39th of 204 rated it services


Job description

Overview

This role is expected to work Saturday through Wednesday 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: 5/12/2026

We anticipate that the application window will close on 7/12/2026, 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.

#LI-REMOTE

#LI-AK1

#junior

Employment Type: OTHER

What Cotiviti employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom