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Flink Jobs (NOW HIRING)

Saransh Inc

Site Reliability Engineer - Onsite

Tampa, FL · On-site

$53.75 - $71.50/hr

Jersey City, NJ / Tampa, FL Duration: Long Term * Design, implement, and maintain scalable and resilient Apache Flink deployments on Kubernetes. * Develop automation tools and scripts for deployment ...

Sharpedge Solutions

Java Engineer

San Leandro, CA

$57.25 - $78.50/hr

Flink technical, practical knowledge, which is a mandatory skill as per customer for DTI requirement Role: Senior Software Engineer •   10+ years application development experience • ...

Redolent, Inc.

Java Developer

Charlotte, NC · On-site

$49.75 - $64.50/hr

Java Developer with Python and Apache Flink Location: Phoenix, AZ Or Charlotte, NC ( Onsite role ) Openings: 5 Duration: 1 year contract NOTE : * W2 candidates are strongly preferred * Please note ...

Accord Technologies Inc.

Devops Engineer

San Antonio, TX · On-site

$47.50 - $65.25/hr

In addition, if the candidate has worked on deploying streaming platforms such as Kafka and Flink that will be ideal or preferable. Must-Have Skills: Extensive experience (5+ years) with I ...

Purple Drive Technologies

Cloud Data Architect

Elk Grove, CA · On-site

$68.25 - $87/hr

This role will focus on migrating large-scale data systems from HDFS to Cloud, leveraging technologies such as Apache Spark, Apache Flink, Scala, and SQL. Familiarity with Apple's ecosystem or prior ...

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How much do flink jobs pay per hour?

As of May 31, 2026, the average hourly pay for flink in the United States is $57.75, according to ZipRecruiter salary data. Most workers in this role earn between $48.56 and $67.31 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as an Apache Flink Developer, and why are they important?

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 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 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.

More about Flink jobs
What cities are hiring for Flink jobs? Cities with the most Flink job openings:
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Flink jobs near you
Infographic showing various Flink job openings in the United States as of May 2026, with employment types broken down into 17% Full Time, and 83% Contract. Highlights an 67% In-person, and 33% Remote job distribution, with an average salary of $120,128 per year, or $57.8 per hour.
Confluent Kafka & Flink Infrastructure Engineer

Confluent Kafka & Flink Infrastructure Engineer

State Farm Insurance

Bloomington, IL

$103.10K - $135.30K/yr

Full-time

Posted 23 days ago

State Farm rating

7.5

Company rating: 7.5 out of 10

Based on 1,357 frontline employees who took The Breakroom Quiz

193rd of 259 rated insurance

Job description

Help build and operate the Event Hub platform that enables event-driven capabilities across the enterprise. In this role, you will own the underlying Confluent Kafka and Apache Flink infrastructure, ensuring it is production-grade, highly available, Infrastructure Engineer, Infrastructure, Engineer, Healthcare, Construction, Insurance, Benefits

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Hours and flexibility

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