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Flink Jobs in Tennessee (NOW HIRING)

Principal Platform Software Engineer

Nashville, TN · On-site

$130K - $174K/yr

Design and operate Flink-based streaming ingestion pipelines that validate, enrich, transform, aggregate, and route telemetry. * Lead and support the transition from relational database storage to ...

You will develop and maintain Java microservices and Apache Flink applications that ingest, process, store, query, and present high-volume observability data. The APM platform operates at substantial ...

You will develop and maintain Java microservices and Apache Flink applications that ingest, process, store, query, and present high-volume observability data. The APM platform operates at substantial ...

Senior Associate Data Engineer L1

Knoxville, TN · On-site

$101K - $137K/yr

Hands-on experience with the Hadoop stack - HDFS, sqoop, kafka, Pulsar, NiFi, Spark, Spark Streaming, Flink, Storm, hive, oozie, airflow and other components required in building end to end data ...

New

Lead Kafka Engineer

Memphis, TN · Hybrid

$99K - $131K/yr

Some experience with Spark Streaming and Apache Flink is a desirable skill. * Excellent problem-solving skills and the ability to work in a fast-paced environment. * Strong communication and ...

SQL, Python, R, Spark, Airflow, NiFi, Kafka, and Flink * Unix or Linux * Experience gathering and understanding customer requirements * Understanding of the US Public Sector sector and its specific ...

Flink information

See Tennessee salary details

$9

$52

$77

How much do flink jobs pay per hour?

As of Aug 29, 2026, the average hourly pay for flink in Tennessee is $52.42, according to ZipRecruiter salary data. Most workers in this role earn between $44.09 and $61.11 per hour, depending on experience, location, and employer.

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 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 (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 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.

What does Flink do?

A Flink job involves developing and maintaining real-time data processing applications using Apache Flink, an open-source stream processing framework. It requires skills in Java or Scala, understanding of distributed systems, and familiarity with data streaming concepts to efficiently process large-scale data in real-time environments.

What are popular job titles related to Flink jobs in Tennessee?

For Flink jobs in Tennessee, the most frequently searched job titles are:

What job categories do people searching Flink jobs in Tennessee look for?

The top searched job categories for Flink jobs in Tennessee are:

What cities in Tennessee are hiring for Flink jobs?

Cities in Tennessee with the most Flink job openings:

Infographic showing various Flink job openings in Tennessee as of August 2026, with employment types broken down into 52% Full Time, and 48% Contract. Highlights an 84% In-person, and 16% Remote job distribution, with an average salary of $109,031 per year, or $52.4 per hour.

Principal Platform Software Engineer

Ll Oefentherapie

Nashville, TN • On-site

$120 - $160/hr

Other

This job post has expired today. Applications are no longer accepted.


Job description

We are seeking a software engineer to build and evolve a large-scale Application Performance Monitoring (APM) platform. This role works across backend services, streaming data pipelines, telemetry agents, infrastructure, query capabilities, and user experience to help customers understand and improve the performance and reliability of their applications.

You will develop and maintain Java microservices and Apache Flink applications that ingest, process, store, query, and present high-volume observability data. The APM platform operates at substantial scale, processing millions of spans per minute while maintaining low latency, reliability, data quality, and cost efficiency.

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