Kafka Job Salaries

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

Kafka

Median high-range salary for jobs requiring Kafka:

$218,000

This analysis is based on salary ranges collected from 95 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 $167,471 - $218,000

25% of job descriptions advertised a maximum salary above $258,750.
5% of job descriptions advertised a maximum salary above $350,000.

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 Python, AWS and Kubernetes. 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.

Python
54% jobs mention Python as a required skill. The Median Salary Range for these jobs is $165,000 - $218,000
- 25% of job descriptions advertised a maximum salary above $259,192.5.
- 5% of job descriptions advertised a maximum salary above $362,945.
AWS
58% jobs mention AWS as a required skill. The Median Salary Range for these jobs is $165,000 - $215,000
- 25% of job descriptions advertised a maximum salary above $254,450.
- 5% of job descriptions advertised a maximum salary above $340,000.
Kubernetes
52% jobs mention Kubernetes as a required skill. The Median Salary Range for these jobs is $160,000 - $215,000
- 25% of job descriptions advertised a maximum salary above $262,496.25.
- 5% of job descriptions advertised a maximum salary above $324,155.
Data engineering
28% jobs mention Data engineering as a required skill. The Median Salary Range for these jobs is $172,000 - $215,000
- 25% of job descriptions advertised a maximum salary above $246,600.
- 5% of job descriptions advertised a maximum salary above $271,500.
Cloud Computing
26% jobs mention Cloud Computing as a required skill. The Median Salary Range for these jobs is $167,471 - $215,000
- 25% of job descriptions advertised a maximum salary above $246,250.
- 5% of job descriptions advertised a maximum salary above $366,300.
Docker
32% jobs mention Docker as a required skill. The Median Salary Range for these jobs is $150,000 - $213,750
- 25% of job descriptions advertised a maximum salary above $252,800.
- 5% of job descriptions advertised a maximum salary above $300,000.
SQL
41% jobs mention SQL as a required skill. The Median Salary Range for these jobs is $158,200 - $213,000
- 25% of job descriptions advertised a maximum salary above $249,750.
- 5% of job descriptions advertised a maximum salary above $327,500.
CI/CD
37% jobs mention CI/CD as a required skill. The Median Salary Range for these jobs is $150,000 - $200,000
- 25% of job descriptions advertised a maximum salary above $225,125.
- 5% of job descriptions advertised a maximum salary above $337,500.
Microservices
31% jobs mention Microservices as a required skill. The Median Salary Range for these jobs is $155,000 - $200,000
- 25% of job descriptions advertised a maximum salary above $228,125.
- 5% of job descriptions advertised a maximum salary above $305,760.

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 Blockchain intelligence and financial services, Network Observability and AI observability and evaluation. 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.

Blockchain intelligence and financial services
2% jobs are in Blockchain intelligence and financial services industry. The Median Salary Range for these jobs is $220,000 - $262,500
- 25% of job descriptions advertised a maximum salary above $270,000.
Network Observability
2% jobs are in Network Observability industry. The Median Salary Range for these jobs is $185,000 - $250,000
- 25% of job descriptions advertised a maximum salary above $251,000.
AI observability and evaluation
1% jobs are in AI observability and evaluation industry. The Median Salary Range for these jobs is $180,000 - $250,000
Fintech
5% jobs are in Fintech industry. The Median Salary Range for these jobs is $177,000 - $227,500
- 25% of job descriptions advertised a maximum salary above $265,000.
- 5% of job descriptions advertised a maximum salary above $310,000.
AI and Machine Learning
1% jobs are in AI and Machine Learning industry. The Median Salary Range for these jobs is $125,000 - $225,000
SaaS Security
2% jobs are in SaaS Security industry. The Median Salary Range for these jobs is $190,000 - $216,500
- 25% of job descriptions advertised a maximum salary above $218,000.
Software Development
35% jobs are in Software Development industry. The Median Salary Range for these jobs is $155,000 - $212,500
- 25% of job descriptions advertised a maximum salary above $257,100.
- 5% of job descriptions advertised a maximum salary above $350,000.
Cybersecurity
3% jobs are in Cybersecurity industry. The Median Salary Range for these jobs is $155,000 - $207,000
- 25% of job descriptions advertised a maximum salary above $243,000.
- 5% of job descriptions advertised a maximum salary above $255,000.
Healthcare
4% jobs are in Healthcare industry. The Median Salary Range for these jobs is $140,147.5 - $192,500
- 25% of job descriptions advertised a maximum salary above $240,295.
- 5% of job descriptions advertised a maximum salary above $260,590.
Data-Powered Marketing Cloud
2% jobs are in Data-Powered Marketing Cloud industry. The Median Salary Range for these jobs is $157,500 - $185,000
- 25% of job descriptions advertised a maximum salary above $200,000.

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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🔥 Professional Services Resident Manager, NG-SIEM (Remote)

Posted about 2 hours ago

📍 United States

💸 110000.0 - 190000.0 USD per year

🔍 Cybersecurity

🔧 Requirements

8+ years of experience working with log management/SIEM solutions (Falcon LogScale, Splunk, QRadar, Arcsight, LogRhythm, Exabeam Data Lake, etc) in a professional services or similar capacity.
Strong understanding of employee management concepts with the demonstrated ability to lead teams.
Prior management experience (3+ years) of small to medium-sized teams within software deployment projects and/or field engineering or consulting organizations.
Experience developing go-to-market strategies including new service offerings and cross-sell/upsell opportunities.
Experience working with pre-sales teams on technical scoping and requirements gathering, and with post-sales handoffs.
Knowledge of SIEM skills and best practices related to log analysis, data onboarding, parsers, search queries, dashboards, and alerts.
Experience managing technical deployments, tracking time, and running projects from kickoff to closure.
Applied knowledge of infrastructure services and applications hosted in AWS, GCP, and Azure and traditional on-prem IT environments, such as directory services, database servers, containerization, authentication providers, networking and data storage.
Experience developing documentation and transferring knowledge of deployments to customers and internal stakeholders.
Experience translating your knowledge of customer requirements and experiences into feedback for product and engineering teams.
Strong written and oral communication skills in English.

💡 Responsibilities

Build and grow a team that helps customers operationalize and support Next-Gen SIEM.
Work with the professional services leadership team to build and enhance the organization, expand programs, increase efficiencies, and create a world-class, customer-focused offering.
Work cross functionally with CrowdStrike teams to ensure successful delivery outcomes.
Manage and mentor team members to help expand skill sets and maximize performance.
Anticipate customer needs for Next-Gen SIEM by staying aware of new CrowdStrike technologies.
Manage customer projects both directly and as a project leadership role.
Work closely and collaboratively with customer information technology teams.
Work closely and collaboratively with the internal Next-Gen SIEM cross functional teams to develop customer facing collateral.
Lead skills workshops for the Platform Operations team.
Ability to travel up to 25% of the time.

AWS Project Management Python SQL Bash GCP Kafka Kubernetes Azure CI/CD Customer service Linux Networking JSON Ansible

Posted about 2 hours ago

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🔥 Software Engineer III, Backend - Falcon (Remote, CAN)

Posted about 4 hours ago

📍 Canada

💸 110000.0 - 180000.0 CAD per year

🔍 Cybersecurity

🏢 Company: crowdstrikecareers

🔧 Requirements

Degree in Computer Science (or commensurate experience in data structures/algorithms/distributed systems)
4+ years of backend development experience
The ability to scale backend systems – sharding, partitioning, scaling horizontally are second nature to you
Deep understanding of distributed systems and scalability challenges
Deep understanding of multi-threading, concurrency, and parallel processing technologies
Team player skills – we embrace collaborating as a team as much as possible
A thorough understanding of engineering best practices from appropriate testing paradigms to effective peer code reviews and resilient architecture
The ability to thrive in a fast paced, test-driven, collaborative and iterative programming environment
The skills to meet your commitments on time and produce high quality software that is unit tested, code reviewed, and checked in regularly for continuous integration

💡 Responsibilities

Lead backend engineering efforts from rapid prototypes to large-scale applications across CrowdStrike products
Leverage and build cloud based systems to detect targeted attacks and automate cyber threat intelligence production at a global scale
Brainstorm, define, and build collaboratively with members across multiple teams
Obsess about learning, and champion the newest technologies & tricks with others, raising the technical IQ of the team
Be mentored and mentor other developers on web, backend and data storage technologies and our system
Constantly re-evaluate our product to improve architecture, knowledge models, user experience, performance and stability
Be an energetic ‘self-starter’ with the ability to take ownership and be accountable for deliverables
Use and give back to the open source community

AWS Backend Development Docker PostgreSQL Python Cloud Computing ElasticSearch Git Javascript Kafka OAuth Algorithms Data Structures Go REST API Redis Microservices Software Engineering

Posted about 4 hours ago

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🔥 Sr. Software Engineer, Backend - Falcon (Remote, CAN)

Posted about 4 hours ago

📍 Canada

🧭 Full-Time

💸 150000.0 - 225000.0 CAD per year

🔍 Cybersecurity

🏢 Company: crowdstrikecareers

🔧 Requirements

Degree in Computer Science (or commensurate experience in data structures/algorithms/distributed systems)
8+ years of backend development experience
The ability to scale backend systems – sharding, partitioning, scaling horizontally are second nature to you
The desire to ship code and the love of seeing your bits run in production
Deep understanding of distributed systems and scalability challenges
Deep understanding of multi-threading, concurrency, and parallel processing technologies
Team player skills – we embrace collaborating as a team as much as possible
A thorough understanding of engineering best practices from appropriate testing paradigms to effective peer code reviews and resilient architecture
The ability to thrive in a fast paced, test-driven, collaborative and iterative programming environment
The skills to meet your commitments on time and produce high quality software that is unit tested, code reviewed, and checked in regularly for continuous integration

💡 Responsibilities

Lead backend engineering efforts from rapid prototypes to large-scale applications across CrowdStrike products
Leverage and build cloud based systems to detect targeted attacks and automate cyber threat intelligence production at a global scale
Brainstorm, define, and build collaboratively with members across multiple teams
Obsess about learning, and champion the newest technologies & tricks with others, raising the technical IQ of the team
Be mentored and mentor other developers on web, backend and data storage technologies and our system
Constantly re-evaluate our product to improve architecture, knowledge models, user experience, performance and stability
Be an energetic ‘self-starter’ with the ability to take ownership and be accountable for deliverables
Use and give back to the open source community

AWS Backend Development GraphQL PostgreSQL Python Cybersecurity ElasticSearch Git Kafka OAuth Software Architecture Algorithms API testing Data Structures Go REST API Redis Software Engineering

Posted about 4 hours ago

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🔥 Sr. Software Engineer II, Backend - Falcon (Remote)

Posted about 4 hours ago

📍 United States

🧭 Full-Time

💸 155000.0 - 255000.0 USD per year

🔍 Cybersecurity

🏢 Company: crowdstrikecareers

🔧 Requirements

Degree in Computer Science (or commensurate experience in data structures/algorithms/distributed systems)
12+ years of backend development experience
The ability to scale backend systems – sharding, partitioning, scaling horizontally are second nature to you
Deep understanding of distributed systems and scalability challenges
Deep understanding of multi-threading, concurrency, and parallel processing technologies
Team player skills – we embrace collaborating as a team as much as possible
A thorough understanding of engineering best practices from appropriate testing paradigms to effective peer code reviews and resilient architecture
The ability to thrive in a fast paced, test-driven, collaborative and iterative programming environment
The skills to meet your commitments on time and produce high quality software that is unit tested, code reviewed, and checked in regularly for continuous integration

💡 Responsibilities

Lead backend engineering efforts from rapid prototypes to large-scale applications across CrowdStrike products
Leverage and build cloud based systems to detect targeted attacks and automate cyber threat intelligence production at a global scale
Brainstorm, define, and build collaboratively with members across multiple teams
Obsess about learning, and champion the newest technologies & tricks with others, raising the technical IQ of the team
Be mentored and mentor other developers on web, backend and data storage technologies and our system
Constantly re-evaluate our product to improve architecture, knowledge models, user experience, performance and stability
Be an energetic ‘self-starter’ with the ability to take ownership and be accountable for deliverables
Use and give back to the open source community

AWS Backend Development GraphQL PostgreSQL Python Cybersecurity ElasticSearch Git Kafka OAuth Algorithms Data Structures Go Redis RESTful APIs Teamwork Software Engineering

Posted about 4 hours ago

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🔥 Data Engineer II (Remote, US)

Posted 1 day ago

📍 United States

🧭 Full-Time

💸 108000.0 - 162000.0 USD per year

🔍 Insurance

🏢 Company: Openly👥 251-500💰 $100,000,000 Series D over 1 year agoLife Insurance Property Insurance Insurance Commercial Insurance Auto Insurance

🔧 Requirements

1 to 2 years of data engineering and data management experience.
Scripting skills in one or more of the following: Python.
Basic understanding and usage of a development and deployment lifecycle, automated code deployments (CI/CD), code repositories, and code management.
Experience with Google Cloud data store and data orchestration technologies and concepts.
Hands-on experience and understanding of the entire data pipeline architecture: Data replication tools, staging data, data transformation, data movement, and cloud based data platforms.
Understanding of a modern next generation data warehouse platform, such as the Lakehouse and multi-data layered warehouse.
Proficiency with SQL optimization and development.
Ability to understand data architecture and modeling as it relates to business goals and objectives.
Ability to gain an understanding of data requirements, translate them into source to target data mappings, and build a working solution.
Experience with terraform preferred but not required.

💡 Responsibilities

Design, create, and maintain data solutions. This includes data pipelines and data structures.
Work with data users, data science, and business intelligence personnel, to create data solutions to be used in various projects.
Translating concepts to code to enhance our data management frameworks and services to strive towards providing a high quality data product to our data users.
Collaborate with our product, operations, and technology teams to develop and deploy new solutions related to data architecture and data pipelines to enable a best-in-class product for our data users.
Collaborating with teammates to derive design and solution decisions related to architecture, operations, deployment techniques, technologies, policies, processes, etc.
Participate in domain, stand ups, weekly 1:1's, team collaborations, and biweekly retros
Assist in educating others on different aspects of data (e.g. data management best practices, data pipelining best practices, SQL tuning)
Build and share your knowledge within the data engineer team and with others in the company (e.g. tech all-hands, tech learning hour, domain meetings, code sync meetings, etc.)

Docker PostgreSQL Python SQL Apache Airflow Cloud Computing ETL GCP Kafka Kubernetes Data engineering Go REST API CI/CD Terraform Data modeling Scripting Data management

Posted 1 day ago

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🔥 Cloud Platform Architecture & Enablement Lead

Posted 1 day ago

📍 United States

💸 175000.0 - 200000.0 USD per year

🔍 Commercial Real Estate Technology

🏢 Company: jlltcareers

🔧 Requirements

8+ years of experience in 24x7 production operations for a SaaS or cloud service provider
Deep expertise in cloud technologies, particularly AWS or Azure IaaS and PaaS offerings
Extensive experience with cloud-native architectures, including container orchestration platforms like Kubernetes
Deployed and managed Infrastructure as Code (Terraform) for various cloud resources, including container platforms
System programming skills in Go, Python, PowerShell, Bash etc.
Familiar with CI/CD practices and tools (Git, Jenkins, Azure DevOps) and have implemented pipelines for cloud-native applications
Can diagnose and troubleshoot applications running in diverse cloud environments
Strong understanding of cloud networking concepts and implementation
Understand distributed, event-based messaging architectures (Azure Event Hub, Azure Service Bus, Kafka, etc.) and how they integrate with various cloud services
Experience with leading infrastructure and application monitoring tools (DataDog, Splunk) and their integration with cloud services, including but not limited to Kubernetes
Strong interpersonal and team skills - ability to implement processes and influence engineers who are not direct reports
Can operate in an agile, collaborative, entrepreneurial start-up environment

💡 Responsibilities

Build and maintain resilient, secure, and efficient cloud-based SaaS application platforms to meet established service levels
Architect and implement cloud solutions tailored to specific business vertical needs
Automate build, test, and deployment for distributed, fault-tolerant cloud infrastructure
Implement monitoring and incident response for distributed applications across various cloud services
Collaborate with developers to bring new features and services into production using cloud-native best practices
Utilize a combination of open-source and custom software to solve product challenges in cloud environments
Drive improvement to operational practices and procedures for cloud and container-based systems
Proactively meet standards for information security and compliance in cloud environments, such as ISO, SOX, SSAE 16, etc.
Exert considerable influence on the overall objectives and long-term goals of your team regarding cloud strategy
Shepherd the definition, documentation, and improvement of our internal standards for style, maintainability, and best practices for high-scale cloud environments
Represent JLLT Engineering and its values in public communication around broad cloud initiatives, specific projects, and community contributions
Drive innovation on the team with a willingness to experiment and to boldly confront complex cloud architecture problems
Actively seek out and address technical debt in our cloud infrastructure, proposing and implementing solutions to enhance team efficiency

AWS Python Bash Cloud Computing Git Jenkins Kafka Kubernetes Software Architecture Azure Go CI/CD RESTful APIs DevOps Terraform Microservices JSON SaaS

Posted 1 day ago

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🔥 Senior Full-stack Engineer (CRM)

Posted 1 day ago

📍 Worldwide

🧭 Full-Time

💸 130000.0 - 140000.0 USD per year

🔍 Software Development

🏢 Company: Circle.so

🔧 Requirements

6+ years experience working as a full-stack engineer on complex web applications.
Strong proficiency in Ruby on Rails, MySQL/Postgresql, ReactJS, TypeScript, CSS and TailwindCSS.
A desire to work in an environment which values speed of iteration and individual autonomy, while also embracing personal accountability and the ability to collaborate effectively as part of a dynamic team.
Experience working on a fully distributed remote team.

💡 Responsibilities

Work autonomously on a product built in Ruby on Rails backend and React front-end.
Build critical features and improvements for our web app and APIs with a product-first mindset.
Work closely with Circle's leaders throughout the feature design process.
Work closely with our designers to create a world-class user experience.
Foster a bias for action, prioritizing speed of iteration without compromising on the quality of code or user experience.

PostgreSQL Software Development ElasticSearch Full Stack Development Git CSS Kafka MySQL React.js Ruby on Rails TypeScript API testing Clickhouse REST API CI/CD Agile methodologies CRM

Posted 1 day ago

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🔥 Senior Software Engineer, Small Dollar Loans

Posted 2 days ago

📍 United States

🧭 Full-Time

💸 163600.0 - 226400.0 USD per year

🔍 Software Development

🏢 Company: Upstart👥 1001-5000💰 $425,000,000 Post-IPO Debt 4 months ago🫂 Last layoff about 2 years agoCredit Automotive Artificial Intelligence (AI)Consumer Lending Lending Financial Services Personal Finance Machine Learning FinTech

🔧 Requirements

5+ years professional experience in fullstack software development in a cloud-hosted environment
3+ years proficiency in Kotlin, Java, or C#, or similar modern backend languages
Some hands-on experience with a JavaScript framework like React
Some hands-on experience with SQL databases and domain modeling

💡 Responsibilities

Leverage our existing tech stack (Kotlin, Spring Boot, React, Next.js, AWS, Kafka) to add features and value
Lead successful cross-team and/or multi-quarter, multi-engineer projects
Drive a vision for how best to design and build software in a complex, service oriented environment
Propose and deliver new ideas that achieve meaningful improvements to our team’s business metrics
Maintain and champion a quality mindset, finding ways for the entire team to consistently improve reliability

AWS Backend Development Software Development SQL Full Stack Development Kafka Kotlin React.js Spring Boot Next.js React Microservices

Posted 2 days ago

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🔥 Senior Software Engineer, Data

Posted 2 days ago

📍 United States, Australia, Canada, South America

🧭 Full-Time

💸 177000.0 - 213000.0 USD per year

🔍 FinTech

🏢 Company: Flex

🔧 Requirements

A minimum of 6 years of industry experience in the data infrastructure/data engineering domain.
A minimum of 6 years of experience with Python and SQL.
A minimum of 3 years of industry experience using DBT.
A minimum of 3 years of industry experience using Snowflake and its basic features.
Familiarity with AWS services, with industry experience using Lambda, Step Functions, Glue, RDS, EKS, DMS, EMR, etc.
Industry experience with different big data platforms and tools such as Snowflake, Kafka, Hadoop, Hive, Spark, Cassandra, Airflow, etc.
Industry experience working with relational and NoSQL databases in a production environment.
Strong fundamentals in data structures, algorithms, and design patterns.

💡 Responsibilities

Design, implement, and maintain high-quality data infrastructure services, including but not limited to Data Lake, Kafka, Amazon Kinesis, and data access layers.
Develop robust and efficient DBT models and jobs to support analytics reporting and machine learning modeling.
Closely collaborating with the Analytics team for data modeling, reporting, and data ingestion.
Create scalable real-time streaming pipelines and offline ETL pipelines.
Design, implement, and manage a data warehouse that provides secure access to large datasets.
Continuously improve data operations by automating manual processes, optimizing data delivery, and redesigning infrastructure for greater scalability.
Create engineering documentation for design, runbooks, and best practices.

AWS Python SQL Bash Design Patterns ETL Hadoop Java Kafka Snowflake Airflow Algorithms Cassandra Data engineering Data Structures Nosql Spark Communication Skills CI/CD RESTful APIs Terraform Written communication Documentation Data modeling Debugging

Posted 2 days ago

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🔥 Senior Software Engineer, Data Platform

Posted 2 days ago

📍 United States, Canada

🧭 Full-Time

💸 147500.0 - 227500.0 USD per year

🔍 Financial Technology

🔧 Requirements

4+ years in software engineering for data systems.
Experience in scalable infrastructure to support batch, micro-batch or streaming processing
Experience in business domains such as payment systems, credit cards, bank transfers, or blockchains.
Experience in data governance and provenance.
Internal knowledge of open-source data technologies.
Ability to tackle complex and ambiguous problems.
Self-starter who takes ownership and enjoys moving at a fast pace.
Excellent communication skills, with the ability to collaborate across multiple remote teams, share ideas and present concepts effectively.

💡 Responsibilities

Design, build, and operate data platform services (warehousing, orchestration, and catalogs).
Continuously enhance platform operations by improving monitoring, performance, reliability, and resource optimization.
Design, build and maintain the data ingestion framework to source the required data for various analytical and reporting needs, which include onchain data, internal system data, and partner data.
Be a domain expert in data warehousing, modeling, pipelines, and quality. Work closely across multiple stakeholders–including Product, Engineering, Data Science, Security and Compliance teams–on data contract modeling, data lifecycle management, governance and regulatory/legal compliance.
Provide ML data platform capabilities for AI/Data Science teams to perform data preparation, model training and management, and experiment execution.
Develop and maintain core services and libraries to enhance critical platform functionalities, such as cataloging data assets and lineage, tracking data versioning and quality, managing auto-backfilling, implementing access controls on data assets.

AWS Docker PostgreSQL Python SQL Apache Airflow Blockchain Cloud Computing ETL Java Kafka Kubernetes Machine Learning Snowflake Algorithms Data engineering Data science Data Structures REST API CI/CD RESTful APIs Microservices Data visualization Data modeling Software Engineering Data analytics Data management

Posted 2 days ago

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Shown 10 out of 110

Kafka Job Salaries

Median high-range salary for jobs requiring Kafka:

Skills and Salary

Python

AWS

Kubernetes

Data engineering

Cloud Computing

Docker

SQL

CI/CD

Microservices

Industries and Salary

Blockchain intelligence and financial services

Network Observability

AI observability and evaluation

Fintech

AI and Machine Learning

SaaS Security

Software Development

Cybersecurity

Healthcare

Data-Powered Marketing Cloud

Jobs