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Data Integration Manager Jobs in Oregon (NOW HIRING)

Sr. Data Engineer

OR ยท On-site +1

$100K - $150K/yr

This role is remote-friendly and reports to the Manager, Data & Analytics Engineering. As a Sr. ... Integrate complex financial APIs and third-party data sources into internal systems * Collaborate ...

Finance Data Platform Specialist

OR ยท On-site +1

$115K - $130K/yr

Experience with Financial Data Management (FDM) or comparable enterprise finance platforms ... Familiarity with enterprise data warehousing, dimensional modeling, and data integration.

Infrastructure Data Analytics Engineer

Gresham, OR ยท On-site

$121K - $145K/yr

Key Responsibilities Data Acquisition & Integration * Design and develop data ingestion processes from multiple sources, including: * Infrastructure monitoring platforms * CMDB and asset management ...

... improve data architecture and integration solutions. Responsibilities - Lead the design and ... team strengths to manage performance and fulfill client requirements - Collaborate with ...

Manager, Strategy, Growth, and Transformation Advance your career as a senior technical leader ... Design, build, and deploy integrations to validate, transform, and load data for integrated ...

$100K - $136K/yr

Build and manage API integrations, including hands-on API development. * Utilize T-SQL and Azure Data Factory to create, optimize, and manage data integration workflows. * Use Microsoft Fabric ...

Software Systems Engineer

OR ยท On-site +1

$115K - $125K/yr

Develop and maintain APIs and other data integration solutions to support reporting and enterprise ... Support software testing, deployments, upgrades, and release management activities. * Create and ...

Manage relationships with current data and technology partners -- ensuring they remain productive ... Knowledge of healthcare data sources and how they integrate, including claims, EHR, pharmacy (Rx ...

Senior Product Manager

OR ยท On-site +1

$150K/yr

... data integrations the ones you'll own simply work. Reporting into Product, you'll partner with ... Manage day-to-day vendor and compliance relationships * Translate vendor specs and compliance ...

Data Integration and Management: Facilitate the integration of omics data with other types of data (clinical, demographic, etc.) to enrich the analyses. Manage large datasets and ensure data ...

Showing results 41-60

Data Integration Manager information

See Oregon salary details

$10

$54

$88

How much do data integration manager jobs pay per hour?

As of Aug 17, 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.

What are some common challenges a data integration manager faces 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 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 is a data integration manager?

A data integration manager oversees the process of combining data from different sources into a unified system, ensuring data quality and consistency. They often work with tools like ETL (Extract, Transform, Load) processes and require skills in data management, database systems, and project coordination to facilitate seamless data flow across organizations.

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 August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 14% Part Time, 2% Contract, and 1% Nights. Highlights an 93% Physical, 3% Hybrid, and 4% Remote job distribution, with an average salary of $113,659 per year, or $54.6 per hour.

Sr. Data Engineer

NinjaTrader

OR โ€ข On-site, Remote

$100K - $150K/yr

Full-time

Retirement, PTO

Re-posted 22 days ago


Job description

What you'll do:

Your data-driven mindset and ability to work with large-scale data systems enable NinjaTrader to serve customers better, identify new opportunities, and improve processes. As an accomplished data engineer joining the Data & Analytics team, this is a terrific opportunity to become part of a fast-growing, revolutionary fintech company shaping the future of retail futures trading.

At NinjaTrader, you'll play a key role in designing and operationalizing the modern data platform that powers our analytics, trading tools, and AI initiatives. This role is remote-friendly and reports to the Manager, Data & Analytics Engineering.

As a Sr. Data Engineer, your primary responsibility is to stay one step ahead of your fellow team members by providing the platform, tools, and infrastructure they need to deliver deployable solutions to real-world business problems. This goes beyond maintaining pipelines-it's about delivering best-in-class data architecture, scalable workflows, and real-time solutions that power trading, product development, and machine learning.

In this role you will:

  • Design, build, and maintain robust data pipelines and data lake architecture for both batch and real-time streaming use cases, including high-volume, low-latency data processing
  • Improve observability, alerting, and SLOs across data systems so pipelines are easier to monitor and issues are caught early
  • Optimize ETL/ELT workflows for performance, scalability, and fault tolerance
  • Develop dbt workflows to onboard Evaluation Partners and create end-of-day reporting for partner analysis
  • Build and support event-driven architectures and scalable platform components
  • Contribute to the orchestration and automation of workflows
  • Integrate complex financial APIs and third-party data sources into internal systems
  • Collaborate with analytics, product, and ML engineers to develop and deploy reliable data products
  • Work on feature pipelines and model-ready data to support ML engineers
  • Promote high standards in code quality, testing, and platform reliability
  • Participate in Agile ceremonies and foster a collaborative, growth-oriented team culture

What you'll need:

  • Bachelor's degree in Computer Science, Engineering, or a related field
  • 5+ years of experience in data engineering, platform engineering, or backend development
  • Strong skills in SQL and Python for building and testing data solutions
  • Hands-on experience with GCP and GCP data products (BigQuery, Cloud SQL, Cloud Storage, etc.)
  • Experience with AWS cloud services (S3, Glue, Athena, Kinesis) in addition to GCP; bonus for EMR
  • Experience with CI/CD pipelines, infrastructure-as-code, and version-controlled deployment workflows (e.g., Terraform, GitOps)
  • Hands-on dbt experience building and maintaining dbt projects (models, tests, macros, documentation, CI)
  • Proficiency with workflow orchestration tools (e.g., Airflow, Prefect)
  • Knowledge of data lake architecture, including file formats (Parquet, Avro) and open table formats (Apache Iceberg)
  • Familiarity with event-driven and service-oriented architecture
  • A track record of building automated, well-tested, and observable data systems
  • Comfortable working both independently and collaboratively in a fast-paced Agile environment

Bonus points for:

  • Hands-on Kubernetes experience, especially around data workloads and containerized pipelines
  • Experience with streaming technologies (e.g., Kafka, Spark Streaming, Flink) and comfort working with high-volume, low-latency data flows
  • Experience with change data capture tools (e.g., Debezium, Kafka Connect) and real-time data integration patterns
  • Experience with BI tools like Looker Studio or QuickSight
  • Experience with observability and monitoring tooling (e.g., Datadog, Grafana, Prometheus)
  • Background in fintech, trading, or derivatives

Compensation:

The salary range for this role will be $100,000.00 - $150,000.00 USD. In addition, this position will also receive an annual target bonus of 10%. Bonus pay at NinjaTrader is based on individual performance (50%) as well as company/team performance (50%).

Salary and bonus earnings are only two components of the total compensation package offered by NinjaTrader. NinjaTrader offers a 401K plan through ADP under which the company will match up to 3.5% of employee contributions. Annual paid time off allowance accrues at a rate of 18 days per year (some positions may qualify for more) plus seven paid holidays.

Location:

This role is based in Chicago, IL.* We follow a hybrid work schedule: In-office Tuesday through Thursday, with remote work on Mondays and Fridays. In addition to these weekly remote days, we offer:

  • 20 additional flex remote days annually

  • 5 Company Wide Office-Optional weeks tied to major holidays


*There may be remote flexibility for exceptional candidates in the following states: California, Colorado, Florida, Georgia, Illinois (outside the Chicago area), Indiana, Minnesota, Missouri, Montana, New Jersey, New York, North Carolina, Ohio, Oregon, Pennsylvania, South Carolina, Texas, Utah, Vermont, Virginia, Washington, Washington DC, Wisconsin.