ZipRecruiter

Log In

1

Data Integrity Engineer Jobs in Oregon (NOW HIRING)

Aptive

$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.

WellSense Health Plan

Senior Pharmacy Data Analyst

... 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 ...

Cotiviti

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 ...

Instacart

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 ...

Cotiviti

$78K - $120K/yr

Overview The Data Engineer is responsible for architecting, developing, and maintaining scalable ... integrity, and accessibility. The role includes performing data gap analysis, developing and ...

Wellbe Senior Medical

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.

KeyLogic, LLC

$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 ...

Unqork

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 ...

Allegiance

HR Information Analyst

Talent, OR · On-site

$81K - $103K/yr

Manages data integrity by serving as a liaison to other District offices in the preparation of ... or programming languages like STATA, R, Python, and SQL. o apply quality assurance procedures and ...

Emerus

... the integrity, scalability, and reliability of data systems. The Director enables data-driven ... Partner with IT, Data Engineering, Clinical Informatics, and ETL teams to standardize technical ...

Covetrus North America LLC

OR · On-site

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 ...

Terzo

(Sr/Staff) Platform Engineer

OR · On-site +1

Engineering The Opportunity Terzo's platform processes enterprise-scale document corpora, powers ... Prior work in a B2B SaaS or enterprise data platform environment where uptime and data integrity ...

Wellbe Senior Medical

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 ...

Oracle

Principal Systems Engineer

Hillsboro, OR · On-site

Ensure data integrity across enterprise data exchange workflows. * Support secure B2B integrations with external partners. Containers, Automation & DevOps * Deploy and administer containerized ...

next page

Showing results 1-20

All JobsData Integrity Engineer JobsData Integrity Engineer Jobs in Oregon

Data Integrity Engineer information

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), and data integrity constraints (rules enforcing data validity). Ensuring these types are maintained often involves using database management tools, validation processes, and security measures.

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 $300,000 a year?

Senior engineers in specialized fields such as data engineering, software engineering, or machine learning engineering can earn $300,000 or more annually, especially with extensive experience, advanced skills, and working in high-demand industries or companies. Compensation often includes base salary, bonuses, and stock options, and requires strong technical expertise and certifications.

What engineers make $500,000?

Senior data integrity engineers, especially those with extensive experience, advanced certifications, and expertise in database management, data governance, and security, can earn salaries approaching or exceeding $500,000 annually in high-paying industries or companies. Compensation often includes base salary, bonuses, and stock options, particularly in technology or finance sectors.

Can I make 200k as a data engineer?

Data engineers can earn $200,000 or more annually, especially with experience, advanced skills in cloud platforms, big data tools, and certifications. Salaries vary by location, industry, and company size, with senior roles and specialized expertise commanding higher pay.

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 Integrity Engineer jobs near you
Data Modeler

Data Modeler

Aptive

$54.75 - $71/hr

Full-time

Re-posted 23 days ago

Aptive Environmental rating

5.5

Company rating: 5.5 out of 10

Based on 38 frontline employees who took The Breakroom Quiz

28th of 33 rated pest control companies

Job description

Job Summary

The Data Modeler will support the Veterans Health Administration (VHA) Integrated Veteran Care (IVC) Veteran Family Member Programs (VFMP) Modernization Portfolio by designing, developing, documenting, and maintaining enterprise data models, data architecture, and integration solutions supporting modernization, automation, reporting, and Electronic Data Interchange (EDI) initiatives.

This role will support modernization efforts focused on claims processing, eligibility, appeals, intake automation, business rule management, reporting, data migration, and system integration. The Data Modeler will work closely with project managers, business analysts, developers, architects, and government stakeholders to ensure scalable, secure, and efficient data solutions aligned with VFMP operational objectives.

The position supports enterprise modernization initiatives that improve operational efficiency, automate workflows, enhance reporting capabilities, and improve the Veteran and beneficiary experience.

Primary Responsibilities

Data Modeling & Architecture

  • Design conceptual, logical, and physical data models supporting VFMP modernization initiatives.
  • Develop and maintain enterprise data architecture diagrams and system context diagrams.
  • Create and document data dictionaries, metadata standards, and data lineage documentation.
  • Analyze existing legacy systems and support migration to modernized systems of record.
  • Support integrated data layer initiatives for reporting and business rule decisioning.

Data Integration & Migration

  • Support migration of provider, claims, eligibility, and operational data from legacy platforms into modernized environments.
  • Assist with integration between systems including:
    • Eligibility systems
    • Claims platforms
    • EDI platforms
    • Centralized data repositories
    • Workflow and automation systems
  • Develop data mapping specifications and transformation logic.
  • Coordinate with developers and analysts to ensure successful implementation of migration activities.

Reporting & Analytics Support

  • Support development of dashboards, reporting models, and visualization solutions.
  • Collaborate with business stakeholders to define reporting requirements and KPIs.
  • Ensure data structures support operational analytics and performance monitoring.
  • Assist in development of business rules supporting automation and inventory management.

Technical Documentation

  • Produce and maintain:
    • Data models
    • Data flow diagrams
    • Context diagrams
    • Technical specifications
    • System architecture documentation
    • Migration documentation
  • Support creation of Business Requirements Documents (BRDs) and technical requirements documentation.

Testing & Quality Assurance

  • Support User Acceptance Testing (UAT) and end-to-end testing activities.
  • Validate data integrity and migration accuracy.
  • Identify and resolve data quality issues.
  • Participate in defect tracking and issue resolution.
Minimum Qualifications
  • Minimum of 4 years of experience in data modeling, database design, or data architecture.
  • Bachelors Degree in Computer Science, Information Systems, Data Science, Engineering, Mathematics, Healthcare Informatics or related field. 
  • Experience designing logical and physical data models.
  • Experience supporting large-scale enterprise modernization or systems integration initiatives.
  • Experience with relational database management systems (RDBMS).
  • Experience with data migration and data integration projects.
  • Experience creating technical documentation and architecture diagrams.
Desired Qualifications
  • Experience supporting Federal healthcare programs.
  • Previous experience within the Department of Veterans Affairs (VA) or Veterans Health Administration (VHA).
  • Experience supporting healthcare claims, eligibility, or EDI environments.
  • Experience supporting modernization or automation initiatives.
  • Familiarity with X12 and/or NCPDP transaction standards.
About Aptive

Aptive partners with federal agencies to achieve their missions through improved performance, streamlined operations and enhanced service delivery. Based in Alexandria, Virginia, we support more than a dozen agencies including Veterans Affairs, Transportation, Defense, Homeland Security and the National Science Foundation.

We specialize in applying technology, creativity and human-centered services to optimize mission delivery and improve experiences for millions of people who count on government services every day.

Founded: 2012Employees: 300+ nationwide

EEO Statement

Aptive is an equal opportunity employer. We consider all qualified applicants for employment without regard to race, color, national origin, religion, creed, sex, sexual orientation, gender identity, marital status, parental status, veteran status, age, disability, or any other protected class.

Veterans, members of the Reserve and National Guard, and transitioning active-duty service members are highly encouraged to apply.

Employment Type: FULL_TIME

What Aptive Environmental employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

Apply