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Flink Jobs (NOW HIRING)

LTM

Specialist - Architecture

Tampa, FL · On-site

The role focuses on streaming lake house and federated query architectures using Apache Flink, Apache Iceberg, and Starburst Trino in a cloud environment. Responsibilities : • Build and operate ...

Confluent

Staff Software Engineer

$235.70K - $277K/yr

The Flink Platform team is at the forefront of building a robust control plane for the Flink product, leveraging advanced database storage to ensure high reliability and efficiency. With a vision ...

Apex Informatics

Java AI Developer - Backend AI

Phoenix, AZ · On-site

$50.25 - $65/hr

Develop data pipelines and real-time processing using Flink * Integrate AI and conversational platforms into backend systems * Design and build RESTful APIs and microservices * Collaborate with ...

SS&C

Principal Data Engineer

Waltham, MA · Hybrid

This role requires deepexpertisein Java-based backend engineering,microservicesarchitecture, event-driven systems, Apache Kafka, Apache Flink, cloud-native platforms, and AWS technologies. The ideal ...

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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:
What states have the most Flink jobs? States with the most job openings for Flink jobs include:
What job categories do people searching Flink jobs look for? The top searched job categories for Flink jobs are:
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.
Senior Software Engineer - Data Team (AWS, Flink, OpenSearch)

Senior Software Engineer - Data Team (AWS, Flink, OpenSearch)

NICE

Seattle, WA • On-site

$139.40K - $183.80K/yr

Full-time

Posted 12 days ago

Job description

At NiCE, we don't limit our challenges. We challenge our limits. Always. We're ambitious. We're game changers. And we play to win. We set the highest standards and execute beyond them. And if you're like us, we can offer you the ultimate career opportunity that will light a fire within you.
We are seeking a Senior Streaming Platform Engineer (6+ years) with deep expertise in enterprise-scale streaming and cloud data platforms. Based in Atlanta, this role collaborates closely with teams in Salt Lake City and Pune, with reasonable overlapping hours. The ideal candidate brings hands-on experience managing scalable, secure, and highly available streaming ecosystems that support real-time analytics, event-driven architectures, and enterprise data platforms - including exposure to AI-assisted engineering and automation practices.
What You'll Do
  • Administer, optimize, and govern Kafka, AWS MSK, Kinesis, Kafka Connect, and OpenSearch platforms
  • Design scalable, fault-tolerant, and secure streaming architectures
  • Monitor, troubleshoot, and performance-tune distributed systems; drive capacity planning
  • Implement security controls, automation, and operational best practices
  • Support integrations with data lakes, Snowflake, analytics platforms, and downstream systems
  • Automate infrastructure provisioning using Terraform or similar IaC tools
  • Leverage AI-assisted development tools (Claude or equivalent) to improve engineering productivity and platform automation
  • Collaborate with engineering and analytics teams to enable real-time data processing and AI-driven data solutions
What We're Looking For
Required:
  • 6+ years of experience with Kafka administration and distributed streaming systems
  • Strong AWS cloud services experience (MSK, Kinesis, and related services)

in OpenSearch
  • Linux administration and automation/scripting skills
  • Python development and platform reliability engineering
  • Desire to learn and implement evolving and new technologies

Preferred:
  • Experience with Flink using Spring Boot
  • Snowflake integration experience
  • Kubernetes orchestration
  • Administration knowledge in OpenSearch clusters
  • Familiarity with AI-enabled engineering workflows and tools
What Success Looks Like
  • Streaming platforms operate with high availability, performance, and reliability at enterprise scale
  • Governance, security, and automation practices are consistently applied across the ecosystem
  • Engineering teams are unblocked and empowered through well-integrated data pipelines and real-time infrastructure
  • AI tooling meaningfully improves operational efficiency and engineering velocity

About NiCE
NICE Ltd. (NASDAQ: NICE) software products are used by 25,000+ global businesses, including 85 of the Fortune 100 corporations, to deliver extraordinary customer experiences, fight financial crime and ensure public safety. Every day, NiCE software manages more than 120 million customer interactions and monitors 3+ billion financial transactions.
Known as an innovation powerhouse that excels in AI, cloud and digital, NiCE is consistently recognized as the market leader in its domains, with over 8,500 employees across 30+ countries.
NiCE is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, age, sex, marital status, ancestry, neurotype, physical or mental disability, veteran status, gender identity, sexual orientation or any other category protected by law.

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