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Data Integration Manager Jobs in Oregon (NOW HIRING)

$114K - $137K/yr

... 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 ...

Senior Data Engineer

Portland, OR · Remote

$112K - $152K/yr

Bachelors' degree in Computer Science, Management Information Systems, or related field. * Minimum of eight (8) years of relevant work experience with ETL, data integration and migration, and strong ...

We are seeking a senior manager with experience in data engineering to build, enhance, and support a wide variety of data pipelines integrating data feeds from diverse internal and external sources.

Work with data engineering teams to integrate data into our Bordereaux Management System (BMS). * Perform acceptance testing on data that has been loaded to ensure it reconciles to source files and ...

Senior Data Engineer

$105K - $150K/yr

Collaborate with senior management to define and execute the company's data pipeline strategy ... Collaborate with the engineering team to integrate analytical solutions into production systems.

OR · On-site

$67.25 - $90/hr

... M and Data Cloud) and external systems, including data integration, transformation (ETL/ELT), and data governance considerations. * Comprehensive and current knowledge of the rapidly evolving LLM ...

Data Engineer

$90K - $135K/yr

Evaluate and implement data integration technologies and tools to ensure seamless data flow and ... Bachelor's or advanced degree in Computer Science, Information Management, Data Science, or a ...

Data Systems Analyst

$90K - $120K/yr

... management, lineage tracking, and compliance standards. Ensure assigned integration stories are delivered on time and are fully prepared for engineering implementation Job Requirements * Bachelor ...

BI Data Engineer

Springfield, OR · On-site +1

$52.75 - $68.50/hr

The individual must have an excellent command of SQL. (MS SQL Server preferred) * 3+ years of experience in data integration, ETL, and data management or comparable positions that handle large ...

Technical Architect - Data, Analytics & AI

Bend, OR · Hybrid

$67.50 - $87/hr

Data Modeling, Data Integration, Analytics and AI lifecycle management * Collaborate closely with Business Solutions teams, Technology Architects, and Enterprise Data Architects across initiatives ...

Data Engineer

$97K - $122K/yr

NET for data processing and integration * Hands-on experience with SQL Server and relational ... Founded by industry veterans who recognized the need for risk management technology that was more ...

OR

$103K - $139K/yr

Understand the data model and design of the product. * Facilitate communication and collaboration ... Leads the management of software dependencies, staying informed about industry updates and trends ...

... integration, and data transformation solutions. As a Senior Associate, you will build meaningful client connections and learn how to manage and inspire others. You will navigate increasingly complex ...

Data Engineer

Portland, OR · On-site

$150K - $165K/yr

Integrate data sources into the warehouse - EHR (NextGen), CRM (HubSpot), HR platforms (ADP, Lever), credentialing (Modio), call center (Five9), and other third-party APIs * Optimize high-frequency ...

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Data Integration Manager information

See Oregon salary details

$10

$54

$88

How much do data integration manager jobs pay per hour?

As of Jul 5, 2026, the average hourly pay for data integration manager in Oregon is $54.64, according to ZipRecruiter salary data. Most workers in this role earn between $46.01 and $61.49 per hour, depending on experience, location, and employer.

Is data integration a good career?

Data Integration Managers oversee the process of combining data from different sources to ensure consistency and accessibility, often using tools like ETL software and SQL. The role is in demand across industries such as finance, healthcare, and technology, offering opportunities for advancement and specialization. Strong technical skills, problem-solving ability, and knowledge of data governance are essential for success in this field.

What does an integration manager do?

An integration manager oversees the process of combining different software systems and data sources to ensure they work together effectively. They coordinate technical teams, develop integration strategies, and use tools like APIs and middleware to facilitate seamless data flow and system interoperability.

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

AspectData Integration ManagerData Analyst
Required CredentialsBachelor's degree in IT, Computer Science, or related field; certifications in data management or integration toolsBachelor's degree in Statistics, Mathematics, or related field; certifications in data analysis or visualization tools
Work EnvironmentCollaborates with IT teams, data engineers, and business units to oversee data integration processesWorks with business stakeholders to analyze data, generate reports, and support decision-making
Employer & Industry UsageCommon in tech, finance, healthcare, and large enterprises managing complex data systemsWidely used across industries for data-driven roles focusing on insights and reporting

While both roles involve working with data, the Data Integration Manager focuses on overseeing the integration and management of data systems, ensuring data flows correctly across platforms. In contrast, the Data Analyst primarily interprets data to generate insights and support business decisions. Both roles require strong technical skills, but their core responsibilities and focus areas differ significantly.

What are some common challenges Data Integration Managers face when coordinating cross-departmental projects?

Data Integration Managers often encounter challenges such as aligning different departments' data standards, managing conflicting priorities, and ensuring data security across systems. Effective communication and strong project management skills are essential for navigating these complexities. Building collaborative relationships and setting clear expectations early in the project can help streamline data flows and minimize bottlenecks.

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

To thrive as a Data Integration Manager, you need expertise in data management, ETL processes, and a strong understanding of database systems, often supported by a degree in computer science or a related field. Familiarity with integration tools like Informatica, Talend, or Microsoft SSIS, as well as experience with cloud platforms and relevant certifications, is typically required. Strong leadership, problem-solving skills, and effective communication help manage cross-functional teams and stakeholder expectations. These skills ensure seamless data flow, system reliability, and successful project delivery in complex data environments.

What does a data integration manager do?

A data integration manager oversees the process of combining data from different sources into a unified system, ensuring data quality, consistency, and accessibility. They design and implement data workflows, often using tools like ETL (Extract, Transform, Load) processes, and coordinate with IT and data teams to support business analytics and decision-making.

Is AI replacing data entry jobs?

AI is automating many data entry tasks, which can reduce the need for manual input and increase efficiency. Data Integration Managers often oversee the implementation of such technologies, requiring skills in data management tools and understanding of automation processes. While some routine jobs may decline, new roles focusing on managing and optimizing AI systems are emerging in the field.
What are the most commonly searched types of Data Integration jobs in Oregon? The most popular types of Data Integration jobs in Oregon are:
What are popular job titles related to Data Integration Manager jobs in Oregon? For Data Integration Manager jobs in Oregon, the most frequently searched job titles are:
What job categories do people searching Data Integration Manager jobs in Oregon look for? The top searched job categories for Data Integration Manager jobs in Oregon are:
Infographic showing various Data Integration Manager job openings in Oregon as of June 2026, with employment types broken down into 62% Full Time, 36% Part Time, and 2% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $113,659 per year, or $54.6 per hour.
Data Engineer-M-F, 9am-6pm Pacific Time zone

Data Engineer-M-F, 9am-6pm Pacific Time zone

Cotiviti

$114K - $137K/yr

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted 10 days ago


Cotiviti rating

8.3

Company rating: 8.3 out of 10

Based on 33 frontline employees who took The Breakroom Quiz

40th of 207 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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