Apache Kafka Job Salaries

Find salary information for remote positions requiring Apache Kafka skills. Make data-driven decisions about your career path.

Apache Kafka

Median high-range salary for jobs requiring Apache Kafka:

$211,131

This analysis is based on salary ranges collected from 12 job descriptions that match the search and allow working remotely. Choose a country to narrow down the search and view statistics exclusively for remote jobs available in that location.

The Median Salary Range is $152,450 - $211,131

  • 25% of job descriptions advertised a maximum salary above $245,000.
  • 5% of job descriptions advertised a maximum salary above $308,500.

Skills and Salary

Specific skills can have a substantial impact on salary ranges for jobs that align with these search preferences. Certain in-demand skills are highly valued by employers and can significantly boost compensation. These skills often reflect the unique requirements and challenges faced by professionals in these roles. Some of the most sought-after skills that correlate with higher salaries include Leadership, AWS and PostgreSQL. Mastering these skills can demonstrate expertise and make individuals more competitive in the job market. Employers often prioritize candidates who possess these skills, as they can contribute directly to the organization's success. The ability to effectively utilize these skills can lead to increased earning potential and career advancement opportunities.

  1. Leadership

    42% jobs mention Leadership as a required skill. The Median Salary Range for these jobs is $169,000 - $240,000

    • 25% of job descriptions advertised a maximum salary above $266,250.
    • 5% of job descriptions advertised a maximum salary above $315,000.
  2. AWS

    42% jobs mention AWS as a required skill. The Median Salary Range for these jobs is $150,000 - $230,000

    • 25% of job descriptions advertised a maximum salary above $266,250.
    • 5% of job descriptions advertised a maximum salary above $315,000.
  3. PostgreSQL

    33% jobs mention PostgreSQL as a required skill. The Median Salary Range for these jobs is $144,141 - $211,631

    • 25% of job descriptions advertised a maximum salary above $273,000.
    • 5% of job descriptions advertised a maximum salary above $315,000.
  4. Python

    50% jobs mention Python as a required skill. The Median Salary Range for these jobs is $156,641 - $211,131

    • 25% of job descriptions advertised a maximum salary above $250,000.
    • 5% of job descriptions advertised a maximum salary above $315,000.
  5. Java

    42% jobs mention Java as a required skill. The Median Salary Range for these jobs is $140,000 - $192,262

    • 25% of job descriptions advertised a maximum salary above $235,000.
    • 5% of job descriptions advertised a maximum salary above $250,000.
  6. Kafka

    83% jobs mention Kafka as a required skill. The Median Salary Range for these jobs is $152,450 - $183,631

    • 25% of job descriptions advertised a maximum salary above $240,000.
    • 5% of job descriptions advertised a maximum salary above $315,000.
  7. Software Development

    50% jobs mention Software Development as a required skill. The Median Salary Range for these jobs is $152,450 - $183,631

    • 25% of job descriptions advertised a maximum salary above $230,000.
    • 5% of job descriptions advertised a maximum salary above $240,000.
  8. Docker

    33% jobs mention Docker as a required skill. The Median Salary Range for these jobs is $145,000 - $183,631

    • 25% of job descriptions advertised a maximum salary above $211,131.
    • 5% of job descriptions advertised a maximum salary above $230,000.
  9. SQL

    42% jobs mention SQL as a required skill. The Median Salary Range for these jobs is $150,000 - $175,000

    • 25% of job descriptions advertised a maximum salary above $232,500.
    • 5% of job descriptions advertised a maximum salary above $240,000.

Industries and Salary

Industry plays a crucial role in determining salary ranges for jobs that align with these search preferences. Certain industries offer significantly higher compensation packages compared to others. Some in-demand industries known for their competitive salaries in these roles include SaaS, IT Operations, Streaming data and Financial Services. These industries often have a strong demand for skilled professionals and are willing to invest in talent to meet their growth objectives. Factors such as industry size, profitability, and market trends can influence salary levels within these sectors. It's important to consider industry-specific factors when evaluating potential career paths and salary expectations.

  1. SaaS, IT Operations

    8% jobs are in SaaS, IT Operations industry. The Median Salary Range for these jobs is $200,000 - $250,000

  2. Streaming data

    8% jobs are in Streaming data industry. The Median Salary Range for these jobs is $210,000 - $250,000

  3. Financial Services

    8% jobs are in Financial Services industry. The Median Salary Range for these jobs is $169,000 - $240,000

  4. Database and Software Development

    8% jobs are in Database and Software Development industry. The Median Salary Range for these jobs is $118,000 - $231,000

  5. Software/Data Visualization

    8% jobs are in Software/Data Visualization industry. The Median Salary Range for these jobs is $163,282 - $192,262

  6. Regulatory Software Engineering

    8% jobs are in Regulatory Software Engineering industry. The Median Salary Range for these jobs is $125,000 - $175,000

  7. digital creative agency

    8% jobs are in digital creative agency industry. The Median Salary Range for these jobs is $150,000 - $175,000

  8. Software, Space, Defense, Critical Infrastructure

    8% jobs are in Software, Space, Defense, Critical Infrastructure industry. The Median Salary Range for these jobs is $154,900 - $174,300

  9. Software/Technology

    8% jobs are in Software/Technology industry. The Median Salary Range for these jobs is $140,000 - $165,000

  10. Healthcare

    8% jobs are in Healthcare industry. The Median Salary Range for these jobs is $115,000 - $130,000

Disclaimer: This analysis is based on salary ranges advertised in job descriptions found on Remoote.app. While it provides valuable insights into potential compensation, it's important to understand that advertised salary ranges may not always reflect the actual salaries paid to employees. Furthermore, not all companies disclose salary ranges, which can impact the accuracy of this analysis. Several factors can influence the final compensation package, including:

  • Negotiation: Salary ranges often serve as a starting point for negotiation. Your experience, skills, and qualifications can influence the final offer you receive.
  • Benefits: Salaries are just one component of total compensation. Some companies may offer competitive benefits packages that include health insurance, paid time off, retirement plans, and other perks. The value of these benefits can significantly affect your overall compensation.
  • Cost of Living: The cost of living in a particular location can impact salary expectations. Some areas may require higher salaries to maintain a similar standard of living compared to others.

Jobs

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πŸ“ CA, NY, WA, other US locations

πŸ’Έ 210000.0 - 250000.0 USD per year

πŸ” Streaming data

🏒 Company: Redpanda DataπŸ‘₯ 101-250πŸ’° $100,000,000 Series C over 1 year agoDeveloper ToolsConsultingBig DataHardwareAnalyticsInformation TechnologySoftware

  • 7+ years of experience in data engineering and streaming data applications.
  • Substantial experience in designing data architectures for high-scale data challenges.
  • Extensive knowledge of industry-standard big data technologies and trends.
  • Passion for engaging with the developer community through demos, architectures, and presentations.
  • Excellent written and oral communication skills.
  • Ability to work autonomously in a fully distributed environment.

  • Drive development for technical thought leadership and architecture patterns.
  • Be responsible for solutions development, coding, and configuration of reference architectures.
  • Develop prototypes and demos to showcase customer value.
  • Provide input on the product roadmap and contribute to features.
  • Represent Redpanda at industry conferences and write blogs to educate technical audiences.
  • Build and publish new Redpanda services with end-to-end sample applications.

IoTMachine LearningSnowflakeApache KafkaClickhouseData engineeringRESTful APIsTerraformPrototyping

Posted 5 days ago
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πŸ“ Stony Brook, New York, Philadelphia, Pennsylvania, Baltimore, Maryland, Charlotte, North Carolina, Atlanta, Georgia

🧭 Full-Time

πŸ’Έ 115000.0 - 130000.0 USD per year

πŸ” Healthcare

🏒 Company: SoftheonπŸ‘₯ 101-250πŸ’° $200,000 almost 16 years agoInsuranceHealth Care

  • Bachelor’s degree in Computer Science, Information Technology, or related field.
  • 3+ years of experience in managing and administering Apache Kafka in a production environment.
  • Strong knowledge of Kafka architecture, including brokers, ZooKeeper, Kafka Connect, and Kafka Streams.
  • Experience in high availability and disaster recovery configurations.
  • Strong problem-solving and troubleshooting skills.
  • Excellent communication skills (written and verbal).

  • Design, install, configure, and manage Kafka clusters including brokers and ZooKeeper.
  • Implement high availability and disaster recovery configurations.
  • Ensure data integrity and availability through backup procedures.
  • Monitor health and performance utilizing tools like Prometheus and Grafana.
  • Collaborate with development teams and document best practices.

KafkaApache KafkaGrafanaPrometheusCommunication SkillsCollaborationDocumentation

Posted 16 days ago
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πŸ“ United States

🧭 Full-Time

πŸ’Έ 118000.0 - 231000.0 USD per year

πŸ” Database and Software Development

🏒 Company: MongoDBπŸ‘₯ 1001-5000πŸ’° Post-IPO Equity almost 7 years agoDatabaseOpen SourceCloud ComputingSaaSSoftware

  • Bachelor's degree in Computer Science, Engineering, or related field.
  • 5+ years of experience in product management or a technical customer-facing role, focusing on streaming systems.
  • Deep expertise in streaming systems like Apache Kafka, Apache Flink, and Apache Pulsar.
  • Knowledge of database systems like MongoDB, PostgreSQL, MySQL.
  • Proven ability to lead cross-functional teams and drive complex technical projects.
  • Strong analytical, problem-solving, communication, and stakeholder management skills.
  • Ability to communicate technical concepts to diverse audiences.
  • Passion for innovation in the streaming data space.
  • Strong technical acumen.

  • Develop and execute a comprehensive product strategy and roadmap for MongoDB's Stream Processing and Streaming products.
  • Own the product vision, requirements, and execution plan for event-based product features and capabilities.
  • Collaborate with engineering teams, customers, and partners to enhance MongoDB's event-based products.
  • Conduct market research and competitive analysis to identify trends and opportunities.
  • Gather and analyze feedback and usage data to drive product improvements.
  • Work with cross-functional teams to align product requirements and go-to-market strategies.
  • Understand streaming principles like consistency guarantees and continuous processing.
  • Ensure technical feasibility, performance, and scalability of streaming systems.
  • Stay informed about industry trends and emerging technologies.

PostgreSQLMongoDBMySQLCross-functional Team LeadershipApache KafkaAnalytical SkillsMarket Research

Posted 18 days ago
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πŸ”₯ Software Engineer
Posted 19 days ago

πŸ“ Sofia

🧭 Full-Time

πŸ’Έ 7000.0 - 11500.0 BGN per month

πŸ” Fintech

🏒 Company: PayhawkπŸ‘₯ 251-500πŸ’° $100,000,000 Series B almost 3 years agoFinancial ServicesPaymentsFinTechSoftware

  • Advanced programming experience and superior knowledge of programming languages and technologies (NodeJs, Typescript, PostgreSQL, Kubernetes, Docker, Google Cloud, React, React Native, Apache Kafka, PlantUML).
  • Bachelor's degree in Computer Science or related field.
  • 3+ years of relevant work experience.
  • Experience with agile processes, continuous delivery, and continuous integration.
  • Ability to multitask, organize, and prioritize work.
  • Exceptional integrity and work ethic.

  • Lead the build of new product features, enhancement, and maintenance of existing ones.
  • Participate in the entire software development lifecycle and play a key role in architecture design and implementation.
  • Collaborate with product managers and designers to capture requirements and understand business perspectives.
  • Write highly scalable, high-performance, and maintainable code.
  • Ensure code testability, code coverage, continuous integration, and backward compatibility.
  • Participate in code reviews.

DockerPostgreSQLSoftware DevelopmentAgileKafkaKubernetesReact NativeTypeScriptApache KafkaReact

Posted 19 days ago
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πŸ“ US, UK, Ireland, Poland, Germany

🧭 Full-Time

πŸ’Έ 205000.0 - 315000.0 USD per year

πŸ” Ecommerce, livestream shopping

  • Bachelor’s degree in Computer Science, Statistics, Applied Mathematics or a related technical field, or equivalent work experience.
  • 4+ years of experience, including 3+ years of software engineering experience building and maintaining production systems for consumer-scale loads.
  • 1+ years of professional experience developing software in Python.
  • Ability to work autonomously and drive initiatives across multiple product areas.
  • Experience with operational, search, and key-value databases such as PostgreSQL, DynamoDB, Elasticsearch, Redis.
  • Familiarity with cloud computing platforms and services like AWS Sagemaker, Lambda, Kinesis, S3, EC2, EKS/ECS, Apache Kafka, Flink.
  • Exceptional documentation and communication skills.

  • Take a leading role in deploying ML models on business critical surfaces & flows.
  • Improve our infrastructure to enable new use cases, i.e. spinning up an ANN-based retrieval stack to unlock RAG or make home feed ranking more scalable.
  • Develop scalable machine learning design patterns that make it easy for machine learning scientists and engineers to safely deploy models to production.
  • Define and advance our technical approach to scalable machine learning.
  • Flex outside your comfort zone to help take on new challenges as they emerge.

AWSLeadershipPostgreSQLPythonCloud ComputingDesign PatternsDynamoDBElasticSearchKafkaMachine LearningApache KafkaGrafanaRedisCommunication SkillsDocumentationSoftware Engineering

Posted 19 days ago
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πŸ”₯ Lead Engineer, Back-end
Posted about 1 month ago

πŸ“ New York City, NOT STATED

🧭 Full-Time

πŸ’Έ 150000 - 175000 USD per year

πŸ” Digital creative agency

🏒 Company: Code and TheoryπŸ‘₯ 251-500AdvertisingWeb Design

  • 8 years minimum experience in software programming, specializing in back-end development.
  • Proven experience with Python; Go or Java is a plus.
  • Deep understanding of designing complex workflows; experience with LangChain is a plus.
  • Familiarity with AI frameworks like TensorFlow or PyTorch, and working knowledge of LLMs.
  • Experience with RESTful APIs, gRPC, and asynchronous communication.
  • Proficiency with SQL and NoSQL databases, including state management.
  • Experience with message brokers like RabbitMQ or Apache Kafka.
  • Experience with Docker and Kubernetes for application deployment.
  • Understanding of secure coding practices and data encryption.
  • Experience with Retrieval-Augmented Generation (RAG) systems.
  • Working knowledge of CI/CD pipelines and cloud platforms.
  • Experience with monitoring and logging tools like Prometheus or ELK Stack.
  • Strong experience with workflow orchestration tools like Prefect or Apache Airflow.
  • Proven experience in building distributed systems and microservices architecture.

  • Be a hands-on leader to engineering teams in successfully delivering scalable, maintainable, and secure features to customers.
  • Integrate Foundation Model LLMs and internal RAG systems into backend services.
  • Implement workflow orchestration logic to manage task dependencies.
  • Collaborate with AI specialists for effective integration.
  • Ensure system scalability and efficiency for handling high loads.
  • Implement asynchronous processing, caching, and optimize communication protocols.
  • Set up logging, monitoring, and alerting mechanisms.
  • Adhere to data privacy and security best practices.
  • Write clear technical documentation.
  • Develop and conduct thorough testing.
  • Complete tasks in a timely manner and foster collaboration.

AWSDockerPythonSoftware DevelopmentSQLApache AirflowKafkaKubernetesPyTorchRabbitmqAirflowApache KafkaAzureGrafanagRPCPrometheusNosqlTensorflowCollaborationCI/CDRESTful APIsDevOpsTerraformDocumentationMicroservicesComplianceAnsible

Posted about 1 month ago
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πŸ“ United States of America

πŸ’Έ 115000 - 230000 USD per year

🏒 Company: external

  • Expertise in designing and managing large-scale distributed data systems.
  • Strong knowledge of modern data platforms (e.g., Snowflake, Spark, Datalake, Kafka).
  • Hands-on experience with major cloud platforms (AWS, GCP, Azure).
  • Proficiency in programming and scripting (Python, Java, Scala, Go).
  • In-depth knowledge of CI/CD practices, containerization (Docker, Kubernetes), and infrastructure-as-code (Terraform, Ansible).

  • Lead the design and implementation of large-scale, fault-tolerant, and highly available data platforms.
  • Architect and develop end-to-end data pipelines that ensure reliability, scalability, and performance of data processing systems.
  • Drive best practices for data reliability, disaster recovery, monitoring, alerting, and incident management.
  • Collaborate with cross-functional teams (data engineering, DevOps, SREs) to integrate, test, and improve platform reliability and performance.
  • Mentor and guide engineers across the organization.

AWSDockerPythonSoftware DevelopmentSQLGCPJavaKafkaKubernetesSnowflakeApache KafkaAzureData engineeringGoGrafanaPrometheusNosqlSparkCommunication SkillsCI/CDDevOpsTerraformCompliance

Posted about 1 month ago
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πŸ”₯ Lead Full Stack Developer
Posted about 1 month ago

πŸ“ United States

🧭 Full-Time

πŸ’Έ 154900 - 174300 USD per year

πŸ” Software, Space, Defense, Critical Infrastructure

  • At least 10+ years of professional full stack web development experience (6+ with a STEM B.S.) with a focus on React and TypeScript.
  • Able to develop organized, accessible, and performant apps using JavaScript, advanced CSS, and HTML.
  • Able to develop complex and performant React applications with a solid understanding of application architecture.
  • Experience with backend technologies such as Node.
  • Demonstrated experience in managing, mentoring & coaching development teams in an Agile environment.
  • Familiarity with cloud platforms and deployment strategies.
  • Proficient with version control systems (e.g., Git) and effective collaborative development workflows.
  • Experience managing build & test tools and implementing workflow automation.
  • Experience with database technologies (e.g., SQL, NoSQL) and messaging systems.
  • Must be a US Citizen and eligible to obtain and maintain a US Security Clearance.

  • Lead the development of a React-based web application, ensuring adherence to best practices and coding standards.
  • Collaborate with developers, designers, project managers, product owners, and partner organizations.
  • Communicate tasking estimation and progress, managing client expectations within required timelines.
  • Participate in the entire software development lifecycle, including requirement gathering, design, development, testing, and deployment using an agile, iterative process.
  • Participate in code reviews and ensure code quality through effective testing strategies.
  • Optimize application performance and ensure seamless integration with backend systems.
  • Contribute to the development and maintenance of reusable component libraries and shared codebase.
  • Mentor and guide junior developers, fostering a culture of continuous learning and professional growth.
  • Stay up-to-date with the latest industry trends and technologies.

Project ManagementSoftware DevelopmentSQLAgileDesign PatternsEs6GitHTMLCSSJavascriptJestKafkaRabbitmqSCRUMTypeScriptApache KafkaReduxNosqlReact

Posted about 1 month ago
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πŸ”₯ Senior Cloud Engineer
Posted about 1 month ago

πŸ“ United States

🧭 Full-Time

πŸ’Έ 140000 - 165000 USD per year

πŸ” Technology/Software

🏒 Company: LirioπŸ‘₯ 51-100πŸ’° $3,000,000 Debt Financing over 2 years agoArtificial Intelligence (AI)Machine LearningInformation TechnologyHealth Care

  • 5+ years developing public and private cloud infrastructure.
  • 2+ years development and deployment experience in Java or Python.
  • Proficiency in DevSecOps principles.
  • Knowledge and experience with Azure and AWS; Oracle OCI experience is a plus.
  • Experience deploying software on multiple clouds simultaneously.
  • Familiarity with core cloud services: compute, storage, networking, security, and databases.
  • Experience with containerization technologies like Docker and Kubernetes.
  • Understanding of event-driven architecture.
  • Experience with Kubernetes deployment tools (Helm, ArgoCD preferred).
  • Experience with observability platforms like Datadog.
  • Hands-on experience with infrastructure-as-code tools (Helm, Terraform, Ansible preferred).
  • Experience securing networks and infrastructure.
  • Proficient in scripting languages for automation tasks.
  • Knowledge of Linux.
  • Demonstrable skills in Java, Python, or Go (TypeScript, C#, also considered).
  • Ability to thrive in a fast-paced environment.
  • Strong collaboration, flexibility, and self-management skills.
  • Desire to innovate and improve health using modern technology.
  • Bachelor’s Degree in a technical field or equivalent experience.

  • Support the design and planning of cloud-agnostic solutions.
  • Implement, test, deploy, and maintain cloud-native infrastructure.
  • Plan and support a developer platform for self-service improvements.
  • Collaborate with development teams to identify cloud solutions.
  • Review existing systems and recommend improvements.
  • Mitigate and resolve infrastructure issues through monitoring.
  • Support and improve engineering practices for quality and security.
  • Document decisions and cloud practices.
  • Review code and designs for stability and security.
  • Write maintainable code/infrastructure-as-code.
  • Assist in project planning and resource allocation.
  • Manage infrastructure spend efficiency.
  • Implement and support CI/CD pipeline efforts.
  • Pursue continuous learning to innovate within the organization.

AWSDockerLeadershipPythonSoftware DevelopmentBashJavaKafkaKubernetesMicrosoft AzureAmazon Web ServicesApache KafkaAzureGoLinux

Posted about 1 month ago
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πŸ”₯ Principal Data Architect
Posted about 2 months ago

πŸ“ United States, Ontario

🧭 Full-Time

πŸ’Έ 200000 - 250000 USD per year

πŸ” SaaS, IT Operations

🏒 Company: AutomoxπŸ‘₯ 101-250πŸ’° $110,000,000 Series C over 3 years agoπŸ«‚ Last layoff over 2 years agoCloud ManagementSoftwareCloud Infrastructure

  • 8+ years of experience in data architecture, with at least 3 years focused on high-throughput distributed systems.
  • Proven experience designing and implementing systems processing 1M+ events per second.
  • Deep expertise with AWS data services (Kinesis, DynamoDB, RedShift, S3, EMR).
  • Strong background in data modeling for both operational and analytical workloads.
  • Experience with real-time stream processing frameworks (Apache Kafka, Amazon Kinesis).
  • Track record of successfully re-architecting large-scale production systems.
  • Expertise in distributed systems patterns and eventual consistency models.

  • Lead the architectural design and implementation of a new data platform focused on scalability, reliability, and performance.
  • Design and implement real-time data processing pipelines capable of handling tens of thousands of events per second.
  • Architect solutions using AWS services such as Kinesis, DynamoDB, RedShift, and EMR.
  • Create data modeling standards and best practices for the engineering organization.
  • Collaborate with engineering teams to implement new data architecture patterns.
  • Develop migration strategies to transition from current architecture to new solutions.
  • Mentor engineers on data modeling and architectural best practices.
  • Partner with product management to align technical architecture with business goals.

AWSLeadershipPythonDynamoDBJavaKafkaKubernetesProduct ManagementApache KafkaGoRedisCollaborationCI/CD

Posted about 2 months ago
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