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Flink Jobs in Oregon (NOW HIRING)

Netflix

Data Engineer (L5) - Ads

OR · On-site +1

$380K - $610K/yr

... as Spark, Flink or Hive/Hadoop Knowledge in data modeling and establishing data architecture across multiple systems Thrive in a fast paced environment, and see yourself as a partner with the ...

SentinelOne

Senior Backend Software Engineer, ObservoAI

OR · On-site +1

$122K - $161K/yr

Extensive experience with cloud platforms (AWS, GCP, Azure), container orchestration (Kubernetes), and a proven track record leading and scaling data pipelines using Kafka, Spark, or Flink. * Deep ...

ClickHouse

Senior Software Engineer - Integrations - AI/ML

OR · On-site +1

$122K - $161K/yr

... Flink, Kafka Connect, Fivetran), orchestration platforms, and AI tooling. Our work directly shapes how companies process massive datasets: real-time analytics platforms that ingest millions of events ...

Striim, Inc.

Principal Technical Product Marketing Manager

OR · On-site +1

$166K - $192K/yr

Hands-on familiarity with modern data and AI ecosystems, including technologies such as Kafka, Spark, Flink, Snowflake, Databricks, BigQuery, Spanner, Microsoft Fabric, Apache Iceberg, or similar ...

Striim, Inc.

Forward Deployed Engineer

OR · On-site +1

Apache Kafka, Flink, Spark Streaming * Event-driven architectures * Strong background with modern data platforms: * Data warehousing (Snowflake, BigQuery, Redshift, Delta Lake, PostgreSQL)

Defense Unicorns

FDE Data Engineer- Space (FedD141/FedD147)

OR · On-site +1

$114K - $137K/yr

Experience with stream processing infrastructure (Kafka, Redpanda, Flink, or equivalent) and bridging data from heterogeneous sources into modern pipelines. * Data warehousing. Open-source data ...

Netflix

Software Engineer 6 - Ads Conversions API

OR · On-site +1

$499K - $900K/yr

Practical experience with streaming event architectures and related technologies (e.g., Kafka, Flink) Ad Tech and Privacy Knowledge: Strong understanding of the ad technology and advertising ...

Netflix

Research Scientist 5/6 - AI for Member Systems

OR · On-site +1

$466K - $750K/yr

Java, Scala, Spark, Hive, Jax, Flink, Hadoop Excellent interpersonal, written, and verbal communication skills Preferred, but not required: Proven experience as a technical leader Skilled in ...

Prove

Senior Software Engineer, Identity Platform

OR · On-site +1

$122K - $161K/yr

Practical experience with Kafka and Flink. * Modern Tech: Familiarity with AI and machine learning integrations. * Technical Leadership: Proven ability to influence team direction and long-term ...

Netflix

Software Engineer 4/5- AI for Member Systems

OR · On-site +1

$466K - $750K/yr

... Flink Excellent collaboration skills Broad understanding of core machine learning concepts and their application in large-scale, real-world machine-learning systems Preferred, but not required:

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See Oregon salary details

$10

$61

$90

How much do flink jobs pay per hour?

As of Aug 28, 2026, the average hourly pay for flink in Oregon is $61.06, according to ZipRecruiter salary data. Most workers in this role earn between $51.35 and $71.15 per hour, depending on experience, location, and employer.

What are Flink jobs?

Flink jobs are user-defined programs that run on Apache Flink, an open-source stream processing framework. These jobs process data in real-time or in batches, allowing organizations to analyze, transform, or aggregate large volumes of data efficiently. Flink jobs are written in languages like Java, Scala, or Python and can be used for a variety of applications such as event-driven analytics, real-time monitoring, and data pipeline processing. They can be deployed on clusters to handle large-scale data processing with low latency and high throughput.

What are the key skills and qualifications needed to thrive as an Apache Flink developer?

To thrive as an Apache Flink Developer, you need strong programming skills (typically in Java or Scala), a solid understanding of distributed systems, and experience with real-time data processing frameworks, preferably backed by a relevant degree in computer science or engineering. Familiarity with Flink’s APIs, stream processing concepts, and integration with tools like Kafka, Hadoop, or AWS, as well as certifications in big data technologies, are highly valuable. Analytical thinking, problem-solving abilities, and effective communication are essential soft skills for collaborating with teams and troubleshooting complex data workflows. These skills are crucial for building scalable, reliable, and efficient data pipelines that drive real-time analytics and business decisions.

What are some common challenges faced by Apache Flink developers and how can they be overcome?

Apache Flink developers often encounter challenges such as handling stateful stream processing at scale, ensuring low-latency data flows, and managing the complexities of distributed systems. Addressing these issues typically involves careful job design, leveraging Flink's checkpointing and state management features, and optimizing resource allocation. Collaborating closely with DevOps and data engineering teams can also help in troubleshooting deployment and performance bottlenecks, ensuring smooth operation in production environments.

What is the difference between Flink vs Kafka Streams?

AspectFlinkKafka Streams
Primary UseDistributed stream processing framework for large-scale data processingClient library for real-time stream processing within Kafka
Deployment EnvironmentCluster-based, supports standalone and cloud deploymentsEmbedded within Java applications, runs on client machines
ComplexityRequires setup of cluster and infrastructureSimpler to integrate with existing Kafka setup
Use CasesComplex event processing, large-scale analyticsReal-time data transformation, lightweight processing

Flink and Kafka Streams are both popular stream processing tools, but Flink is suited for large-scale, complex processing across clusters, while Kafka Streams is ideal for lightweight, real-time processing within Kafka environments. Your choice depends on processing complexity and deployment needs.

What does Flink do?

A Flink job involves developing and maintaining real-time data processing applications using Apache Flink, an open-source stream processing framework. It requires skills in Java or Scala, understanding of distributed systems, and familiarity with data streaming concepts to efficiently process large-scale data in real-time environments.

What are popular job titles related to Flink jobs in Oregon?

For Flink jobs in Oregon, the most frequently searched job titles are:

What job categories do people searching Flink jobs in Oregon look for?

The top searched job categories for Flink jobs in Oregon are:

Flink jobs near you
Infographic showing various Flink job openings in Oregon as of August 2026, with employment types broken down into 48% Full Time, and 52% Contract. Highlights an 84% In-person, and 16% Remote job distribution, with an average salary of $127,010 per year, or $61.1 per hour.

Senior Software Engineer - Java Streaming - Connectors

OR • On-site, Remote

ClickHouse
Software Development • 51 - 200 employees
Learn more about ClickHouseexternal

$122K - $161K/yr

Full-time

Re-posted 8 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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