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Data Engineer Flink Jobs in Bothell, WA (NOW HIRING)

... Kafka, Flink, Spark Streaming, Beam, Pulsar, or comparable large-scale streaming data systems ... Strong programming skills in Java, Scala, Python, Go, or similar production engineering languages ...

Sr. Software Development Engineer, OISL

Redmond, WA · On-site

$137K - $180K/yr

Data Engineering: Build and optimize large-scale data pipelines (batch and streaming) using technologies such as Apache Flink, Spark, Kafka, and AWS-native services (Kinesis, Glue, S3, Redshift ...

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Data Engineering: Build and optimize large-scale data pipelines (batch and streaming) using technologies such as Apache Flink, Spark, Kafka, and AWS-native services (Kinesis, Glue, S3, Redshift ...

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Data Engineer Flink information

See Bothell, WA salary details

$49.7K

$145K

$198.4K

How much do data engineer flink jobs pay per year?

As of Jul 15, 2026, the average yearly pay for data engineer flink in Bothell, WA is $145,008.00, according to ZipRecruiter salary data. Most workers in this role earn between $128,000.00 and $153,700.00 per year, depending on experience, location, and employer.

What are some common challenges Data Engineers face when working with Apache Flink in a production environment?

Data Engineers working with Apache Flink often encounter challenges such as managing stateful stream processing at scale, ensuring fault tolerance, and optimizing resource usage for real-time data pipelines. Handling late-arriving data and tuning Flink jobs for low latency and high throughput are also frequent hurdles. Collaborating closely with data scientists and application developers is key to aligning data models and ensuring smooth data flow throughout the system.

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

To thrive as a Data Engineer specializing in Flink, you need strong programming skills (especially in Java or Scala), a solid understanding of distributed data processing, and experience with data architecture. Familiarity with Apache Flink, stream processing frameworks, big data tools (like Kafka, Hadoop, or Spark), and cloud platforms is typically required, along with relevant certifications. Excellent problem-solving abilities, attention to detail, and effective teamwork and communication skills help you excel in complex data environments. These competencies are crucial for building reliable, scalable data pipelines that power real-time analytics and business decision-making.

What is a Data Engineer Flink?

A Data Engineer Flink is a data engineering professional who specializes in using Apache Flink, an open-source stream processing framework, to build, maintain, and optimize systems that process large-scale data in real time. They design and implement data pipelines, ensure data quality and consistency, and collaborate with other engineering teams to deliver reliable and scalable data solutions. Their expertise allows organizations to process, analyze, and react to data as it is generated, enabling real-time insights and decision-making.
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Software Engineer, Product Security Data Platforms

Software Engineer, Product Security Data Platforms

Stripe

Seattle, WA • On-site

Other

Re-posted 28 days ago


Job description

Who we areAbout Stripe

Stripe is a financial infrastructure platform for businesses. Millions of companies-from the world's largest enterprises to the most ambitious startups-use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone's reach while doing the most important work of your career.

About the team

The Product Security Data Platforms team is a newly established engineering team within Stripe Security. Our mission is to build the foundational infrastructure that provides our users with unprecedented visibility into the security posture of their Stripe integration. While Stripe is renowned for industry-leading payment protection, we are expanding our focus to provide a comprehensive security telemetry platform that helps businesses protect their entire digital ecosystem on Stripe.

As a founding member of this team, you'll architect a large-scale customer-facing security data pipeline and presentation layer. Much like modern security observability platforms and data lakes that have transformed cloud infrastructure, we're building an API-first service that transforms massive streams of behavioral data into actionable security intelligence. This team operates at the intersection of high-throughput data engineering and cybersecurity, creating the systems that will allow the world's most sophisticated companies to monitor, detect, and respond to threats in real time.

What you'll do

As a Senior Software Engineer on this founding team, you'll lead the technical design and implementation of our core security data pipelines. You'll define how we capture security signals, process them at scale, and deliver them to our users through robust, developer-friendly interfaces. If you have security domain knowledge, you'll have opportunities to help shape product vision.

Responsibilities
  • Architect scalable foundations. Design and implement a highly available, low-latency pipeline capable of processing and augmenting millions of events per second into structured security telemetry.
  • Build API-first products. Develop the core services and streaming APIs that enable enterprise customers to seamlessly ingest security signals into their own internal security operations centers and analytics tools.
  • Engineer security signals. Partner with security researchers and threat detection experts to build the logic that identifies anomalous behavior and surfaces high-fidelity security insights.
  • Define technical strategy. Lead the technical roadmap for the platform, making critical decisions on data modeling, storage strategies, and the abstraction layers that will support future security products.
  • Drive engineering excellence. As a senior leader, you'll set the bar for code quality, system resilience, and operational maturity for a product that requires 99.99%+ availability.
  • Collaborate cross-functionally. Work closely with the Stripe core platform and data teams to leverage global infrastructure while ensuring security data remains isolated and protected.
Who you are

We're looking for someone who meets the minimum requirements to be considered for the role. If you meet these requirements, you are encouraged to apply. The preferred qualifications are a bonus, not a requirement.

Minimum requirements
  • 8+ years of professional software development experience, with a history of shipping and maintaining complex, large-scale systems
  • Expertise in data engineering and distributed systems, with deep experience building and operating high-throughput data pipelines (e.g., Kafka, Flink, Spark, or similar streaming technologies)
  • Strong programming fundamentals, significant experience in languages like Java, C++, or Rust
  • System design leadership, a proven track record of designing robust, scalable architectures and leading cross-team technical initiatives from conception to launch
  • Operational mindset, experience maintaining business-critical services with high availability requirements, on-call rotation, and a strong focus on observability and debugging
  • Communication and collaboration skills, excellent technical writing skills for drafting design documents and the ability to mentor other engineers while collaborating with non-technical stakeholders
Preferred qualifications
  • Security domain knowledge, with prior experience building security analytics, threat detection systems, or observability platforms.
  • Platform engineering with experience building "as-a-service" infrastructure where the primary users are other engineers or external developers.
  • Cloud native infrastructure, with prior experience with AWS, Kubernetes, and infrastructure-as-code (Terraform).
  • Product intuition and a desire to work on "0-to-1" initiatives where you help define the product requirements and user experience alongside engineering.
  • Front-end or full stack experience is a plus, particularly with React or TypeScript.