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Data Integration Manager Jobs in Oregon (NOW HIRING)

ClickHouse

OR · On-site

$122K - $161K/yr

A track record of building scalable data integration systems (beyond simple ETL jobs) * Strong proficiency in Java and the JVM ecosystem, including deep knowledge of memory management, garbage ...

Aptive

$54.75 - $71/hr

This role will support modernization efforts focused on claims processing, eligibility, appeals, intake automation, business rule management, reporting, data migration, and system integration. The ...

AAON, Inc.

Data & Analytics Analyst IV

Redmond, OR · On-site

Data Integration & Management * Integrate data from multiple sources (structured and unstructured) into unified datasets. * Ensure data accuracy, consistency, and availability across platforms.

Atria Group LLC

OR

$103K - $139K/yr

... chain management, e-commerce solutions, and B2B public exchanges and B2B process integration ... Determines and analyzes integration by identifying tables, data elements in member's Epic system ...

Landis+Gyr

Solutions Integration Architect

OR · On-site

$66.25 - $85.50/hr

This including storing and managing large amount of data. Experience and knowledge of security ... integration adapters and configuring software settings for customer use Experience providing ...

Pwc

Data Engineer - Manager

Portland, OR

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Manager & Summary ... You will be responsible for developing and implementing data pipelines, data integration, and data ...

New Charter Technologies LLC

OR

$190K/yr

Decision-Driven data &Integration Strategy * Design data and integration capabilities starting ... Own API lifecycle management including documentation, versioning, security, and performance.

Cotiviti

$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 ...

Cotiviti

Data Engineer - AI

$105K - $125K/yr

This includes but is not limited to managing data implementations, data integrations, data production, data quality, and data security. Responsibilities * Create, maintain and execute intermediate to ...

Cotiviti

$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 ...

Cotiviti

Data Engineer AI II

$120K - $145K/yr

This includes but is not limited to managing data implementations, data integrations, data production, data quality, and data security. Responsibilities * Create, maintain and execute intermediate to ...

Guidehouse

OR

$63.75 - $82/hr

Data Integration, Analytics & Advanced Analytics Enablement * Lead design and implementation of data ingestion and transformation pipelines, including batch and nearrealtime integrations from EHRs ...

Raytheon Technologies

OR · On-site

SAP Modules SAP MDG (Master Data Governance), Ariba (Sourcing, Procurement, Supplier Management ... Integration SAP MDG with SAP S/4HANA and ECC, SAP Ariba integration with SAP MM & SD, CIF, QRFC ...

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All JobsData Integration JobsData Integration Manager JobsData Integration Manager Jobs in Oregon

Data Integration Manager information

See Oregon salary details

$10

$54

$88

How much do data integration manager jobs pay per hour?

As of Jun 9, 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 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 and consistent view for an organization. They are responsible for planning, implementing, and maintaining data integration solutions, ensuring data quality, and enabling seamless data flow between systems. Their role often involves managing a team, collaborating with IT and business stakeholders, and selecting the right tools and technologies to meet organizational data needs.
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:
Data Integration Manager jobs near you
Senior Software Engineer - Java Streaming Connectors

Senior Software Engineer - Java Streaming Connectors

ClickHouse

OR • On-site

$122K - $161K/yr

Other

Posted 18 days ago

Job description

The Connectors team is the bridge between ClickHouse and the entire data ecosystem. We build and maintain the connectors that make ClickHouse accessible to millions of developers and data practitioners worldwide. Our work spans from low-level database integrations to high-level data visualization plugins, ensuring that ClickHouse seamlessly integrates with the tools our users already know and love.

We're responsible for the official data connectors (Kafka, dbt, Spark, Flink, Beam, Fivetran), and integrations with leading visualization platforms (Grafana, Tableau, Power BI, Metabase).

What will you do?

As a Senior Software Engineer specializing in JVM-based frameworks, you'll serve as a core contributor, owning and maintaining critical parts of ClickHouse's Data engineering ecosystem. This role sits at the intersection of high-performance database engineering and developer experience, where you'll craft tools that enable Data Engineers to harness ClickHouse's incredible speed and scale.

You'll own the full lifecycle of data framework integrations - from the core database driver that handles billions of records per second, to SDKs and connectors that make ClickHouse feel native in JVM-based applications. This isn't just about writing code; you're building the foundation that thousands of Data engineers rely on for their most critical data workloads.

Your work will directly impact how companies process massive datasets, from real-time analytics platforms ingesting millions of events per second to observability systems monitoring global infrastructure. You'll collaborate closely with the open-source community, internal teams, and enterprise users to ensure our JVM integrations set the standard for performance, reliability, and developer experience.

About you:
  • 6+ years of software development experience focusing on building and delivering high-quality, data-intensive solutions.
  • Proven experience with the internals of streaming or data integration frameworks, with strong preference for Apache Kafka (or similar pub/sub systems), Kafka Connect, Apache Flink or Apache Beam.
  • Experience developing or extending connectors, sinks, or sources for at least one streaming processing framework such as Apache Flink, Beam, or Kafka Connect, with preference for experience building or maintaining production-grade streaming connectors.
  • Hands-on experience with Apache Kafka or similar distributed messaging systems (e.g., Pulsar, Kinesis), including topic design, consumer groups, and performance tuning.
  • Strong understanding of database fundamentals: SQL, data modeling, query optimization, and familiarity with OLAP/analytical databases.
A track record of building scalable data integration systems (beyond simple ETL jobs)
  • Strong proficiency in Java and the JVM ecosystem, including deep knowledge of memory management, garbage collection tuning, and performance profiling.
  • Solid experience with concurrent programming in Java, including threads, executors, and reactive or asynchronous patterns.
  • Outstanding written and verbal communication skills to collaborate effectively within the team and across engineering functions.
  • Understanding of JDBC, network protocols (TCP/IP, HTTP), and techniques for optimizing data throughput over the wire.
  • Passion for open-source development.
Bonus points for:
  • Prior contributions to open-source projects: actively engaging with the OSS community, advocating for users, and influencing the evolution of the core system through your contributions - big advantage.
  • Familiarity with ClickHouse or similar high-performance data platforms.
  • Working knowledge of Python, especially in data engineering contexts (e.g., Pandas, PySpark, Airflow), and ability to contribute to Python tooling when needed.

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