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Data Integrity Engineer Jobs in Oregon (NOW HIRING)

In data engineering at PwC, you will focus on designing and building data infrastructure and ... You are expected to lead with integrity and authenticity, articulating our purpose and values in a ...

$100K - $136K/yr

Ensure high data quality, integrity, and performance through meticulous query tuning and process optimization. * Collaborate with data scientists, software developers, business intelligence teams ...

OR · On-site

The Manager of Data Engineering will lead a team responsible for designing, building, and ... This role involves collaborating with cross-functional teams to ensure data availability, integrity ...

OR · On-site

Position Summary The Data Integration Engineer will install back-end, automated data integrations ... These personal skills include honesty, integrity, inspire others, commitment, passion, decision ...

Data Engineer - Manager

Portland, OR · On-site

$99K - $232K/yr

You are expected to lead with integrity and authenticity, articulating our purpose and values in a ... data engineering capabilities - Leading teams in the strategic planning and execution of data ...

The React Native Engineer plays a critical role in that mission by building the mobile application ... Handle conflict resolution, data integrity, and retry logic for field-collected data * Optimize ...

New

Comfortable working with relational databases, data models, and data integrity concepts. Experience ... Azure DevOps, SharePoint, Wiki * Familiarity with CI/CD pipelines, deployment validation, and ...

Substation Project Engineer

Lake Oswego, OR · Hybrid

$101K - $129K/yr

Comply with regulatory requirements pertaining to the data integrity, documentation, procedures ... Engineering Intern, Engineer in Training, or equivalent certification * Experience working with ...

Substation Project Engineer

Lake Oswego, OR · On-site

$101K - $129K/yr

Comply with regulatory requirements pertaining to the data integrity, documentation, procedures ... Engineering Intern, Engineer in Training, or equivalent certification * Experience working with ...

Comfortable working with relational databases, data models, and data integrity concepts. Experience ... Azure DevOps, SharePoint, Wiki * Familiarity with CI/CD pipelines, deployment validation, and ...

Comfortable working with relational databases, data models, and data integrity concepts. Experience ... Azure DevOps, SharePoint, Wiki * Familiarity with CI/CD pipelines, deployment validation, and ...

Ensure data accuracy, integrity, and consistency across systems and reports * Support continuous ... Master's degree in Engineering, Computer Science, Data Analytics, or a related field * 0-3 years of ...

OR

$105K - $143K/yr

As a Senior Data Engineer, you will be pivotal in optimizing and scaling our foundational Snowflake ... Possesses a high degree of integrity, the relentless pursuit of truth, and an ability to inspire ...

Senior Data Analyst - Epic

Odell, OR · On-site

$88K - $111K/yr

... BI developers, and application teams. * Lead requirements-gathering sessions, manage analytics ... Promote data governance, report standardization, and data integrity across the enterprise.

OR · On-site

$104K - $143K/yr

Due to the sensitive nature of our engineering work, Anno.ai enforces strict digital footprint and ... on data integrity, traceability, and operational reliability * Evaluate and integrate emerging ...

$134K - $180K/yr

Improve reliability, scalability, and data integrity of core financial workflows * Influence architecture decisions across multiple teams and domains * Drive engineering excellence and innovation ...

OR · On-site

Direct the generation and validation of analysis datasets and TLFs, ensuring data integrity and ... Enforce departmental standards for programming maintenance and code integrity. Facilitate cross ...

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Showing results 1-20

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 Analyst - Non-Profit Social Services

Data Analyst - Non-Profit Social Services

Transition Projects

Portland, OR • On-site

$72K - $83K/yr

Full-time

Re-posted 8 days ago


Job description

POSITION DESCRIPTION
Position: Data Analyst
Supervisor: Director of Public Policy and Funding
Location: Bud Clark Commons; 665 NW Hoyt St
Hours: Monday - Friday
Starting Salary: $72,800-$83,200 DOE
Classification: Exempt, Unrepresented, Full-Time, Benefits Eligible
GENERAL RESPONSIBILITIES
The Data Analyst is responsible for coordinating the workload of the Information Services team, serving as a project lead, serving as the reporting and data liaison to partner agencies, triaging help desk items, and is responsible for coordinating the training of IS team members. The Data Analyst is responsible for developing key performance indicators, overseeing data collection, and report preparation and submission. Provide accurate and on-time reporting for internal programs and external reporting to funders. Provide technical support to staff using data systems. Ensure data integrity, run routine reports and create new reports as needs arise. Focus of duties may be adjusted at any time.
Data Reporting and Analysis Responsibilities:
  1. Manage the data team.
  2. Oversee staff training on Homeless Management Information Systems (HMIS) database.
  3. Submit timely reports to external funders.
  4. Serve as the data and reporting liaison to partner agencies.
  5. Create reports for internal teams.
  6. Establish key performance indicators.
  7. Structure large data sets to find usable information.
  8. Run and distribute reports..
  9. Prepare final analysis reports for the stakeholders to understand the data-analysis steps, enabling them to take important decisions based on various facts and trends.
  10. Preparing reports for the management stating trends, patterns, and predictions using relevant data.
  11. Using statistical tools to identify, analyze, and interpret patterns and trends in complex data sets could be helpful for the diagnosis and prediction.

PERFORMANCE REQUIREMENTS
Each Transition Projects employee must:
  1. Acquire First Aid/CPR/AED certification within 30 days of hire and be retested biannually thereafter throughout employment.
  2. Complete Bloodborne Pathogens and Narcan Training within 30 days of hire and be retested annually thereafter throughout employment.
  3. Demonstrate reliability by being present for work as scheduled, arriving and leaving on time and taking breaks in expected time frames.
  4. Interact effectively with persons of diverse ethnic backgrounds, religious views, cultural backgrounds, and sexual orientations and treat each individual with respect and dignity.
  5. Attend agency and program staff meetings.

PHYSICAL/MENTAL REQUIREMENTS
The physical and mental demands described here are representative of those that must be met by an employee, with or without accommodation, to successfully perform the essential functions of this job.
  1. Hearing and vision adequate for interaction with participants, interaction with staff and interaction with the general public.
  2. Hearing adequate for telephone work. Vision adequate for close work.
  3. Hand and finger dexterity adequate to operate standard office equipment.
  4. Ability to walk, bend, stand, sit, reach, stoop, pull, squat, and climb stairs and ladders.
  5. Sitting at a desk completing paperwork and working on a computer for lengthy periods.
  6. Mobility to allow responsive traveling to participant residences located around the metro area.
  7. Ability to perform CPR and other emergency life-saving care with the assistance of teammates until emergency responders arrive.
  8. Ability to lift up to 50 pounds

MINIMUM QUALIFICATIONS
The right individual for this position has a passion for helping others, is nonjudgmental, and is able to deal with difficult situations in positive and constructive ways.
  1. Bachelor's degree in Accounting, Computer Science, Computer Information Systems, Information Technology, Data Analytics, Information Systems, or a related field, and at least two (2) years of experience in data analysis, reporting, business intelligence, data management, or a related field; OR three (3) to five (5) years of progressively responsible experience in a similar role.
  2. 2+ years experience with programming languages such as R, Python, SQL, or Oracle preferred.
  3. Experience in handling reporting packages like Business Objects, programming (JavaScript, XML, or ETL frameworks), databases
  4. Proficiency in statistics and statistical packages like Excel, SPSS, SAS to be used for data set analysis.
  5. Training or experience in data analysis and data-based report generation.
  6. Experience cleaning and preparing data.
  7. Experience developing reports and dashboards.
  8. Demonstrated ability to work independently. Ability to appropriately assess a situation and take corrective action as necessary.
  9. Demonstrated ability to work as part of a team in the delivery of services to clients.
  10. Excellent computer skills. Demonstrated ability to use word processing, database, spreadsheet, email, and Internet programs, as well as familiarity with various reporting tools and technologies (SQL and advanced Excel skills highly desirable).
  11. Excellent oral and written communication skills.
  12. Good interpersonal relationship skills.
  13. Basic understanding of the issues surrounding homelessness, chemical dependency, mental health, domestic violence and sexual assault.
  14. Experience working with homeless/low-income population preferred but not required.

Transition Projects, Inc. is an equal opportunity employer and does not discriminate on the basis of race, color, religion, age, gender, sexual orientation, ancestry, national origin, citizenship, marital status, familial status, physical or mental disability, veteran status, genetic information, source of income, union participation or activities, or any other status legally protected by applicable local, state or federal law.
Disclaimer
The above statements are intended to describe the general nature and level of work being performed by people assigned to this classification. They are not to be construed as an exhaustive list of all responsibilities, duties, and skills required of personnel so classified. All personnel may be required to perform duties outside of their normal responsibilities from time to time, as needed.