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Master Data Manager Jobs in Oregon (NOW HIRING)

Data Engineer

Beaverton, OR

$119K - $143K/yr

Strong knowledge of data engineering principles, including data modeling, ETL and ELT design patterns, Data quality and observability, Metadata management, Data lifecycle management, Master Data ...

We are looking for an exceptional leader to manage a team of data scientists and analytics ... Master's or PhD in a quantitative field, with deep expertise in applied data science and ...

Data Engineer

Beaverton, OR

$119K - $143K/yr

Strong knowledge of data engineering principles, including data modeling, ETL and ELT design patterns, Data quality and observability, Metadata management, Data lifecycle management, Master Data ...

Data Engineer

Beaverton, OR · On-site

$119K - $143K/yr

Strong knowledge of data engineering principles, including data modeling, ETL and ELT design patterns, Data quality and observability, Metadata management, Data lifecycle management, Master Data ...

Data Engineer

Beaverton, OR

$119K - $143K/yr

Strong knowledge of data engineering principles, including data modeling, ETL and ELT design patterns, Data quality and observability, Metadata management, Data lifecycle management, Master Data ...

Be Seen First

Support system entry efforts to support, master data governance policies. Ability to self-direct data processing request forms received via request tracking tool and take direction from Manager while ...

New

This role is also responsible for helping hire, coordinate, and manage additional offshore ... Master data and governance application for customer, material, vendor, pricing, product hierarchy ...

Financial Master Data Management; and, Account Reconciliations. Demonstrates thorough abilities and/or a proven record of success as a team leader, leading technical implementation of EPM (Enterprise ...

Sponsor enterprise master data management (MDM), including the Unique Customer ID (UCID) program. * Ensure the data platform and migration strategy support the future Acumatica ERP implementation.

Overview BerryDunn's Healthcare Analytics Practice Group (HAPG), Data Management and Strategy (DMS) team is seeking a Technical Project Manager / Scrum Master to lead and deliver complex data ...

Showing results 21-40

Master Data Manager information

See Oregon salary details

$32.8K

$102.7K

$181.9K

How much do master data manager jobs pay per year?

As of Aug 6, 2026, the average yearly pay for master data manager in Oregon is $102,710.00, according to ZipRecruiter salary data. Most workers in this role earn between $69,800.00 and $132,700.00 per year, depending on experience, location, and employer.

How does a master data manager typically collaborate with other departments to ensure data consistency across the organization?

A Master Data Manager works closely with teams such as IT, finance, operations, and sales to establish and enforce data governance policies. They facilitate regular communication to align data standards and resolve discrepancies, often leading cross-functional meetings to address data quality issues. By collaborating on data integration projects and implementing best practices, Master Data Managers ensure that all departments have access to accurate and consistent information, which is crucial for decision-making and operational efficiency.

What is the difference between Master Data Manager vs Data Analyst?

AspectMaster Data ManagerData Analyst
Required CredentialsBachelor's degree in Business, IT, or related field; certifications like CDMP or DAMABachelor's degree in Statistics, Mathematics, or related field; certifications like CAP or Microsoft Data Analyst
Work EnvironmentData management teams, IT departments, enterprise systemsBusiness units, analytics teams, reporting departments
Employer & Industry UsageFinance, healthcare, retail, manufacturingMarketing, finance, consulting, technology

The Master Data Manager focuses on maintaining and governing core data assets across an organization, ensuring data accuracy and consistency. In contrast, a Data Analyst interprets data to generate insights and support decision-making. While both roles require data-related skills, the Master Data Manager emphasizes data governance and management, whereas the Data Analyst emphasizes data analysis and reporting.

What are the key skills and qualifications needed to thrive as a master data manager, and why are they important?

To thrive as a Master Data Manager, you need expertise in data governance, data quality management, and strong analytical skills, typically supported by a degree in information systems or a related field. Familiarity with master data management (MDM) platforms like Informatica or SAP MDG, and certifications in data management are highly beneficial. Exceptional communication, attention to detail, and project management abilities help you collaborate across departments and drive data initiatives. These skills ensure accurate, consistent, and reliable data that supports business decision-making and operational efficiency.

What is a master data manager?

A Master Data Manager is a professional responsible for overseeing an organization’s critical business data, ensuring its accuracy, consistency, and security across various systems. They develop and implement policies and processes for managing master data, such as customer, product, or supplier information. Their role often involves data governance, quality control, and collaborating with different departments to maintain data integrity. Master Data Managers help organizations make informed decisions by providing reliable data and supporting compliance with regulatory requirements.
What cities in Oregon are hiring for Master Data Manager jobs? Cities in Oregon with the most Master Data Manager job openings:
Infographic showing various Master Data Manager job openings in Oregon as of August 2026, with employment types broken down into 88% Full Time, 11% Part Time, and 1% Contract. Highlights an 84% Physical, 3% Hybrid, and 13% Remote job distribution, with an average salary of $102,710 per year, or $49.4 per hour.

$119K - $143K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 15 days ago


Concora Credit rating

7.8

Company rating: 7.8 out of 10

Based on 6 frontline employees who took The Breakroom Quiz


Job description

Overview

As our Data Engineer, you'll help drive Concora Credit's Mission to enable customers to Do More with Credit - every single day.

The impact you'll have at Concora Credit:

We are seeking a Data Engineer with deep expertise in Azure, Databricks, Python, SQL, and distributed data systems to help drive the evolution of our enterprise data platform. This role goes beyond traditional data engineering and focuses on building and governing scalable data solutions that enable analytics, machine learning, AI, and Business Intelligence across the organization.

You'll serve as a technical leader responsible for data platform governance, feature enablement, and engineering best practices while partnering closely with teams across the enterprise to ensure our data ecosystem remains secure, scalable, cost-efficient, and easy to use.

We're grounded in innovation and entrepreneurship, and we're looking for someone who enjoys solving complex technical challenges, influencing platform strategies, and enabling others to be successful through scalable data solutions and thoughtful governance.

We hire people, not positions. That's because, at Concora Credit, we put people first, including our customers, partners, and Team Members. Concora Credit is guided by a single purpose: to help non-prime customers do more with credit. Today, we have helped millions of customers access credit. Our industry leadership, resilience, and willingness to adapt ensure we can help our partners responsibly say yes to millions more. As a company grounded in entrepreneurship, we're looking to expand our team and are looking for people who foster innovation, strive to make an impact, and want to Do More! We're an established company with over 20 years of experience, but now we're taking things to the next level. We're seeking someone who wants to impact the business and play a pivotal role in leading the charge for change.

Responsibilities

As our Data Engineer, you will:

  • Help design, develop, and optimize scalable data pipelines and data solutions using Databricks, PySpark, SQL, and Python.
  • Help build and maintain reliable data models and ETL/ELT processes that support analytics, business intelligence, machine learning and AI.
  • Help establish and maintain data engineering standards, governance, security, and best practices across the Azure and Databricks platforms.
  • Evaluate new Databricks capabilities and recommend adoption strategies, standards, and implementation patterns.
  • Monitor, troubleshoot, and optimize data pipelines and platform performance for reliability, scalability, and cost efficiency.
  • Partner with cross-functional teams to solve complex data challenges and provide technical guidance on data architecture and engineering best practices.
  • Mentor junior engineers and contribute to a culture of technical excellence and continuous improvement.

These duties must be performed with or without reasonable accommodation.

We know experience comes in many forms and that many skills are transferable. If your experience is close to what we're looking for, consider applying. Diversity has made us the entrepreneurial and innovative company that we are today.

Qualifications

Requirements:

  • 3+ years of experience in Data Engineering, Data Platform Engineering, or a related field.
  • Strong hands-on experience with Databricks required, as well as Apache Spark, PySpark, Python, SQL, Azure Data Lake Storage, and Delta Lake.
  • Deep understanding of distributed data processing and large-scale data architectures.
  • Strong knowledge of data engineering principles, including data modeling, ETL and ELT design patterns, Data quality and observability, Metadata management, Data lifecycle management, Master Data Management concepts.
  • Strong understanding of modern table formats and storage architecture.
  • Experience with performance optimization techniques.
  • Experience implementing CI/CD and infrastructure automation using tools.
  • Excellent problem-solving, analytical, and communication skills.
  • Ability to operate independently while leading initiatives in a fast-paced, agile environment.
  • Passion for building scalable, maintainable, and well-governed data platforms.

Preferred Qualifications:

  • Experience with Unity Catalog, Databricks Workflows, Delta Live Tables / Spark Declarative Pipelines, Structured Streaming, Kafka or Event Hubs.
  • Experience implementing data governance frameworks and cloud security best practices.
  • Experience with RBAC, ABAC, data classification, auditing, and compliance controls.
  • Experience supporting self-service analytics platforms and integrating Databricks with Power BI or other analytics tools.
  • Experience evaluating and adopting emerging cloud and data platform technologies.
  • Experience creating engineering standards, reference architectures, and operational best practices for enterprise data platforms.
  • Experience building and delivering internal training or enablement programs for technical platforms.

What's In It For You:

  • Medical, Dental and Vision insurance for you and your family
  • Relax and recharge with Paid Time Off (PTO)
  • 6 company-observed paid holidays, plus 3 paid floating holidays
  • 401k (after 90 days) plus employer match up to 4%
  • Pet Insurance for your furry family members
  • Wellness perks including onsite fitness equipment at both locations, EAP, and access to the Headspace App
  • We invest in your future through Tuition Reimbursement
  • Save on taxes with Flexible Spending Accounts
  • Peace of mind with Life and AD&D Insurance
  • Protect yourself with company-paid Long-Term Disability and voluntary Short-Term Disability

Concora Credit provides equal employment opportunities to all Team Members and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.

Employment-based visa sponsorship is not available for this role.

Concora Credit is an equal opportunity employer (EEO).

Please see the Concora Credit Privacy Policy for more information on how Concora Credit processes your personal information during the recruitment process and, if applicable, based on your location, how you can exercise your privacy rights. If you have questions about this privacy notice or need to contact us in connection with your personal data, including any requests to exercise your legal rights referred to at the end of this notice, please contact caprivacynotice@concoracredit.com.

Employment Type: FULL_TIME

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