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Apache Flink Jobs (NOW HIRING)

Apache Flink Developer This is a data engineering role for analytics team. The team member will be responsible for building data pipelines using Kafka, Apache Flink and Apache Hudi. To be able to ...

Sr Kafka/Flink Developer

Phoenix, AZ · On-site

$119K - $155K/yr

The ideal candidate will have strong expertise in Java, Apache/Confluent Kafka, Apache Flink, Spring Boot, microservices, AWS, and DevOps, with a proven ability to build event-driven platforms and ...

Sr Kafka/Flink Developer

Dallas, TX · On-site

$119K - $155K/yr

The ideal candidate will have strong expertise in Java, Apache/Confluent Kafka, Apache Flink, Spring Boot, microservices, AWS, and DevOps, with a proven ability to build event-driven platforms and ...

Sr Kafka/Flink Developer

Dallas, TX · On-site

$119K - $155K/yr

The ideal candidate will have strong expertise in Java, Apache/Confluent Kafka, Apache Flink, Spring Boot, microservices, AWS, and DevOps, with a proven ability to build event-driven platforms and ...

The ideal candidate will have deep expertise in Apache Flink, strong Java programming skills, and proven leadership experience managing high-performing engineering teams. This role requires a ...

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Apache Flink information

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How much do apache flink jobs pay per hour?

As of Jun 25, 2026, the average hourly pay for apache flink in the United States is $60.08, according to ZipRecruiter salary data. Most workers in this role earn between $49.28 and $72.12 per hour, depending on experience, location, and employer.

What are some common challenges faced by Apache Flink Developers when working on real-time data processing projects?

Apache Flink Developers often encounter challenges such as managing stateful streaming applications, ensuring fault tolerance, and scaling jobs to handle high-throughput data streams. Debugging and monitoring distributed Flink jobs can also be complex, requiring familiarity with Flink’s tooling and metrics. Collaboration with data engineers and DevOps teams is essential to optimize performance and maintain the reliability of streaming pipelines.

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 in Java or Scala, a solid understanding of distributed systems, and experience with real-time data processing, often supported by a degree in computer science or a related field. Familiarity with Flink APIs, stream processing frameworks, and tools like Kafka, Hadoop, and cloud platforms is typically required. Problem-solving ability, attention to detail, and effective teamwork are valuable soft skills for success in this role. These competencies ensure efficient development, deployment, and maintenance of robust streaming data applications, enabling organizations to process and analyze data in real time.

What is Apache Flink?

Apache Flink is an open-source stream processing framework for distributed, high-performing, always-available, and accurate data streaming applications. It is designed to process unbounded and bounded data streams and provides powerful capabilities for real-time analytics, event-driven applications, and batch processing. Flink is widely used for its scalability, low latency, and fault tolerance, making it a popular choice for big data and real-time data processing tasks.

What is the difference between Apache Flink vs Apache Spark Developer?

AspectApache FlinkApache Spark Developer
Primary FocusReal-time stream processingBatch and stream processing
Work EnvironmentDistributed data processing systems, often in real-time applicationsBig data analytics, batch jobs, and some streaming
Required SkillsJava, Scala, streaming concepts, distributed systemsJava, Scala, SQL, big data frameworks
Industry UsageFinance, IoT, real-time analyticsData warehousing, analytics, machine learning

Apache Flink and Apache Spark Developers both work with big data frameworks, but Flink specializes in real-time stream processing, while Spark covers both batch and streaming tasks. Choosing between them depends on the specific data processing needs of the organization.

Infographic showing various Apache Flink job openings in the United States as of June 2026, with employment types broken down into 99% Full Time, and 1% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $124,958 per year, or $60.1 per hour.
Apache Flink Developer

Apache Flink Developer

Keylent Inc

Plano, TX • On-site

Other

Posted 23 days ago


Job description

Apache Flink Developer

This is a data engineering role for analytics team. The team member will be responsible for building data pipelines using Kafka, Apache Flink and Apache Hudi. To be able to work with data, good SQL knowledge is required. The infrastructure is on AWS and hence familiarity with AWS services like S3 etc is good to have. 1+ years of strong technical hands on development experience with Scala. This is a must have set of skill set. Apache Flink Problem-solving aptitude


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About Keylent

Sourced by ZipRecruiter

Keylent Inc, based in Wilmington, DE, US, operates in the dynamic IT services and solutions industry. Their official platform, keylent.com, further details their robust suite of services which primarily comprise software consulting, quality assurance, project management, and business intelligence. Keylent Inc has been an integral part of the industry since its inception, serving diverse clients with their specialized, innovative IT solutions. This customer-centric firm is founded on the core values of reliability, integrity, and zealous innovation. Their mission is to empower businesses in navigating the complex technological landscape with ease, efficiency, and confidence. Notably, Keylent Inc has been recognized for its commitment to exceptional service delivery and the profound impact of its solutions in facilitating business growth.

Industry

Internet and it

Company size

11 - 50 Employees

Headquarters location

Wilmington, DE, US

Year founded

2010

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