ZipRecruiter

Log In

1

Apache Flink Jobs (NOW HIRING)

Whiztek Corp

Python Developer (Apache Flink)

Chicago, IL · On-site

$51.75 - $71.50/hr

Python Developer with Apache Flink Location: Chicago, IL (Hybrid - 2-3 Days/Week Onsite) Duration: Long-Term Contract Job Summary We are seeking an experienced Python Developer with strong Apache ...

Whiztek Corp

Senior Data Engineer (Apache Flink)

Chicago, IL · On-site

$118K - $141K/yr

Build and optimize Apache Flink streaming jobs (Java or Scala) for real-time transformation, deduplication, and event correlation * Implement event-time processing using watermarks to correctly ...

next page

Showing results 1-20

All JobsApache Flink Jobs

Apache Flink information

See salary details

$44

$60

$80

How much do apache flink jobs pay per hour?

As of Aug 6, 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.

Is Apache Flink still relevant?

Apache Flink remains a relevant technology for real-time data processing and stream analytics. It is widely used in industries requiring low-latency data handling and supports integration with tools like Kafka and Hadoop, making it a valuable skill for data engineers and developers working with big data environments.

Is Apache Flink hard to learn?

Learning Apache Flink can be challenging for beginners due to its complex stream processing concepts and distributed system architecture. Familiarity with Java or Scala, as well as understanding of data streaming and real-time processing, can help ease the learning curve. Hands-on experience with related tools like Apache Kafka can also be beneficial.

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 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 August 2026, with employment types broken down into 33% Full Time, and 67% Contract. Highlights an 100% In-person job distribution, with an average salary of $124,958 per year, or $60.1 per hour.

Python Developer (Apache Flink)

Whiztek Corp

Chicago, IL • On-site

$51.75 - $71.50/hr

Other

This job post has expired 1 day ago. Applications are no longer accepted.

Job description

 
Job Title: Python Developer with Apache Flink

Location: Chicago, IL (Hybrid – 2–3 Days/Week Onsite)

Duration: Long-Term Contract

Job Summary

We are seeking an experienced Python Developer with strong Apache Flink expertise to design, develop, and optimize real-time stream processing applications for enterprise-scale data platforms. The ideal candidate will have hands-on experience building scalable streaming solutions using Apache Flink as the primary technology, along with strong Python development skills. This role involves developing high-performance, event-driven data pipelines and collaborating with cross-functional teams to deliver real-time analytics solutions.

Key Responsibilities
  • Design, develop, and maintain scalable real-time data processing applications using Apache Flink.
  • Build and optimize streaming data pipelines using Python.
  • Develop event-driven applications capable of processing high-volume, low-latency data streams.
  • Integrate Flink applications with messaging platforms such as Apache Kafka and other distributed systems.
  • Optimize Flink jobs for performance, scalability, fault tolerance, and reliability.
  • Develop reusable components, libraries, and frameworks to support streaming applications.
  • Collaborate with data engineers, software developers, and business stakeholders to deliver business-critical streaming solutions.
  • Troubleshoot production issues and implement performance improvements.
  • Participate in code reviews, testing, and CI/CD deployment activities.
  • Create and maintain technical documentation for streaming applications and workflows.
Required Qualifications
  • 8+ years of software development experience.
  • 3+ years of hands-on experience with Apache Flink (Required).
  • Strong proficiency in Python programming.
  • Experience building real-time stream processing applications using Apache Flink.
  • Solid understanding of distributed systems and event-driven architectures.
  • Experience with Apache Kafka or similar messaging platforms.
  • Strong SQL skills and experience working with relational and NoSQL databases.
  • Experience with Git and Agile development methodologies.
  • Excellent problem-solving and debugging skills.
  • Strong communication and collaboration abilities.
Preferred Qualifications
  • Experience with cloud platforms such as AWS, Azure, or Google Cloud Platform.
  • Familiarity with Docker and Kubernetes.
  • Experience with CI/CD tools and DevOps practices.
  • Knowledge of Spark, Hadoop, or other big data technologies is a plus.
  • Experience with monitoring and observability tools such as Prometheus and Grafana.
Required Skills
  • Apache Flink (Primary Skill)
  • Python
  • Apache Kafka
  • Stream Processing
  • Event-Driven Architecture
  • Distributed Systems
  • SQL
  • Git
  • Docker/Kubernetes (Preferred)
  • AWS/Azure/Google Cloud Platform (Preferred)

Apply