Data Engineer Flink information
See Bothell, WA salary details
$49.7K - $63.3K
0% of jobs
$63.3K - $76.8K
1% of jobs
$76.8K - $90.3K
3% of jobs
$90.3K - $103.8K
4% of jobs
$103.8K - $117.3K
7% of jobs
$129.2K is the 25th percentile. Wages below this are outliers.
$117.3K - $130.8K
11% of jobs
$130.8K - $144.4K
12% of jobs
The median wage is $148K / yr.
$144.4K - $157.9K
45% of jobs
$157.9K - $171.4K
8% of jobs
$171.4K - $184.9K
5% of jobs
$184.9K - $198.4K
3% of jobs
How much do data engineer flink jobs pay per year?
As of Aug 18, 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.
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.
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.
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.
Data engineers, including those skilled in Apache Flink, are in high demand due to the increasing need for real-time data processing and scalable data infrastructure. Organizations seek professionals with expertise in big data tools, cloud platforms, and programming languages like Java or Scala to build and maintain data pipelines. The role is expected to grow as data-driven decision-making becomes more critical across industries.
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