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Kinesis Jobs (NOW HIRING)

Responsibilities : • Experience working and implementing AWS Data Lakes • Experience working with the AWS ecosystem (Redshift, RDS, EMR, Kinesis, S3, Glue, DMS, Athena, EC2, Lambda etc.) • ...

Validate real-time data pipelines from Amazon Connect through Kinesis to downstream systems including Bedrock, Salesforce, Verint, and QuickSight * Perform integration testing for near-real-time ...

AWS Data Engineer

Minneapolis, MN · On-site

$119K - $143K/yr

Glue ETL, Kinesis Datastream, Kinesis Firehose * AI Tools: AWS Bedrock, AWS Bedrock Agent Core, Kiro, GitHub Copilot * Build/Deployment: Jenkins, CI/CD Pipeline * Other: TWS, Tidal, ServiceNow, Jira ...

AWS Architect/Developer

Wyomissing, PA · On-site

$62.25 - $81.75/hr

Experience with AWS (Amazon Web Services) Pipeline S3 Kinesis Experience with Redshift (Dense Storage and Dense Compute) AWS ETL tools such as Matillion or others similar Data modeling and data flows ...

AWS Architect/Developer

Reading, PA · On-site

$62.25 - $81.75/hr

Experience with AWS (Amazon Web Services) Pipeline S3 Kinesis Experience with Redshift (Dense Storage and Dense Compute) AWS ETL tools such as Matillion or others similar Data modeling and data flows ...

Sr. Data Modeler

$109K - $150K/yr

Streaming ingestion with Kinesis Streams, Kinesis Firehose, Kinesis Analytics and Kafka(MSK) * Build Data Lake on AWS S3 with optimal performance considerations by partitioning and compressing data.

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BOT Development Engineer

Huntsville, AL · Remote

$160K - $170K/yr

Kinesis Data Streams, Kinesis Firehose (for call/event data pipelines from Genesys) * API Gateway (REST and/or WebSocket APIs), including throttling, usage plans, and request/response transformation

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BOT Development Engineer

Washington, DC · Remote

$160K - $170K/yr

Kinesis Data Streams, Kinesis Firehose (for call/event data pipelines from Genesys) * API Gateway (REST and/or WebSocket APIs), including throttling, usage plans, and request/response transformation

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Kinesis information

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$11

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$90

How much do kinesis jobs pay per hour?

As of Sep 6, 2026, the average hourly pay for kinesis in the United States is $54.85, according to ZipRecruiter salary data. Most workers in this role earn between $39.66 and $70.67 per hour, depending on experience, location, and employer.

What is a kinesis?

Kinesis jobs typically refer to roles related to Amazon Kinesis, a suite of services on AWS used for real-time data streaming and processing. Professionals working with Kinesis are responsible for designing, developing, and maintaining data pipelines to collect, process, and analyze large streams of data in real time. These roles often require experience with AWS services, programming, and big data analytics. Kinesis jobs are essential in industries that rely on immediate data insights, such as finance, gaming, and IoT.

What are the key skills and qualifications needed to thrive as an AWS Kinesis data engineer?

To thrive as an AWS Kinesis Data Engineer, you need strong expertise in data streaming concepts, cloud infrastructure, and programming languages such as Python or Java, usually backed by a degree in computer science or a related field. Proficiency with AWS Kinesis services, related AWS tools (e.g., Lambda, S3), and certifications like AWS Certified Data Analytics – Specialty are highly valuable. Problem-solving, attention to detail, and effective communication are essential soft skills for designing, troubleshooting, and optimizing data pipelines. These skills ensure the reliable, real-time processing and analysis of large data streams critical to modern data-driven businesses.

What are some common challenges faced by professionals working with AWS Kinesis, and how can I prepare for them?

Professionals working with AWS Kinesis often encounter challenges such as managing data ingestion at high scale, ensuring data durability, and optimizing stream processing performance. Effective monitoring, implementing robust error handling, and understanding best practices for partitioning data are crucial to success in this role. Preparing by gaining hands-on experience with Kinesis Streams, Firehose, and Analytics, as well as familiarizing yourself with AWS CloudWatch for monitoring, can help you navigate these challenges confidently.

What is the difference between Kinesis vs Data Engineer?

AspectKinesisData Engineer
Required CredentialsBasic AWS certifications, experience with streaming dataComputer science degree, programming skills, cloud certifications
Work EnvironmentCloud-based, real-time data processingData pipelines, cloud or on-premises infrastructure
Industry UsageData streaming, real-time analyticsData architecture, pipeline development

While Kinesis focuses on real-time data streaming and processing within AWS, Data Engineers design and build data pipelines, often utilizing tools like Kinesis. Kinesis is a specialized service, whereas Data Engineers have broader roles in data architecture and management.

More about Kinesis jobs

What states have the most Kinesis jobs?

States with the most job openings for Kinesis jobs include:

Infographic showing various Kinesis job openings in the United States as of August 2026, with employment types broken down into 90% Full Time, and 10% Contract. Highlights an 76% Physical, 4% Hybrid, and 20% Remote job distribution, with an average salary of $114,097 per year, or $54.9 per hour.

Sr. Software Engineer / Fullstack ( Java, AWS , AI & React) in Atlanta GA_F2F interview must & only

Xoriant Corporation

Atlanta, GA • On-site

Other

Re-posted yesterday


Job description

/////******* NOTE - Only Local candidates, Ready for Face to Face interview & only on Xoriant W2********/////////////

TITLE:- Senior Software Engineer / Fullstack ( Java, AWS and React)

LOCATION – Atlanta, GA

DURATION – 6+ Months (Possible Extension)

MODE OF INTERVIEW – Face to Face interview must

RATE – Only W2 (Without Benefits)

JOB DESCRIPTION

We are seeking a skilled Senior Software Engineer to contribute to the full-stack design, development, and delivery of software solutions within a high-velocity engineering team. This role blends deep engineering excellence with a modern AI-first mindset — including the ability to rapidly prototype using GenAI platforms to accelerate team output and innovation.

What You'll Do

AWS Cloud, Serverless & Microservices Architecture

  • Design and deliver cloud-native, microservices-based solutions on AWS, applying microservices principles across the full stack — frontend, backend, and cloud infrastructure — to build scalable, secure, and highly available systems, leveraging a broad and growing set of services including but not limited to:
  • Compute: Lambda, Step Functions
  • API, Auth & CDN: API Gateway, Cognito, CloudFront
  • Messaging & Events: SQS, SNS, EventBridge, Kinesis
  • Data: DynamoDB, S3, Aurora Serverless, OpenSearch, Kinesis Firehose
  • Configuration: SSM Parameter Store
  • Observability: CloudWatch, X-Ray
  • IaC: CDK, SAM, CloudFormation
  • And more across the broader AWS ecosystem
  • Build and maintain scalable REST APIs using API Gateway and Lambda
  • Support cloud cost optimization, security posture, and performance tuning efforts
  • Implement CI/CD pipelines, infrastructure-as-code (AWS CDK/SAM), and blue/green deployment strategies
  • Ensure production readiness through observability, automated testing, and monitoring

Full-Stack, Microservices & Cross-Platform Development

• Design, develop, test, and deploy full-stack applications and microservices across Flutter/Dart (mobile & cross-platform), React/JavaScript (web), and Python/Node.js/Java/Spring

Qualifications

  • 5+ years of professional software engineering experience; Bachelor's degree in Computer Science or Engineering, or 7+ years of equivalent experience
  • Strong full-stack proficiency across mobile/cross-platform (Flutter/Dart), web (React/JavaScript), and backend (Python, Node.js, Java/Spring Boot)
  • Hands-on AWS experience across a broad range of services including but not limited to Lambda, API Gateway, DynamoDB, Kinesis, OpenSearch, S3, Firehose, EventBridge, and SSM
  • Experience with CI/CD, infrastructure-as-code, and serverless deployment patterns
  • Demonstrated use of AI/GenAI tools in a professional development setting; understanding of prompt engineering, context management, and AI tool limitations
  • Familiarity with AWS CDK or SAM for infrastructure provisioning is a plus
  • Exposure to agentic AI workflows and multi-agent systems is a plus
  • AWS certification (Solutions Architect, Developer, or equivalent) is a plus