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Kinesis Jobs (NOW HIRING)

At least 2 years of enterprise experience building applications using AWS services (Cloud Watch, Kinesis, S3, Lex, Poly) * At least 2 years of enterprise experience with Telephony and VOIP (Voice ...

AWS Data Architect

Fort Mill, SC · On-site

$56 - $72/hr

Implement CDC and streaming architectures using Kafka/MSK, Kinesis, and event-driven patterns * Lead data modeling initiatives (dimensional, OLTP, OLAP) * Drive performance tuning for Spark, Redshift ...

Build and optimize the real-time data pipeline from Amazon Connect through Kinesis to downstream consumers (Bedrock, Salesforce, Verint, QuickSight) * Extend the existing Lambda-to-Salesforce ...

Customer interaction skills. • Experience working and implementing AWS Data Lakes Experience working with the AWS ecosystem Redshift, RDS, EMR, Kinesis, S3, Glue, DMS, Athena, EC2, Lambda etc. • ...

Strong experience with Amazon MSK and Amazon Kinesis Data Streams * Strong experience with Microservice development, CICD pipelines, Java/Spring Boot, REST API, MongoDB * Proficiency in building real ...

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Kinesis information

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$11

$54

$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.

Full-time

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Job description

Lead Java AWS Developer
Chicago, IL
1+ Year
No C2C
8+ years of software development experience including designing, developing and deploying software components at scale using core Java on a Linux/Unix platform
Strong understanding and experience in application architectural patterns, such as MVC, Microservices, Event-driven
Experience building API's
Experience in developing and deploying software to public cloud (AWS or Azure) using CI/CD practices.
AWS development experience including AWS streaming, Spark streaming and/or Apache Flink
Strong experience with AWS Kinesis firehose, Kinesis Data streams, Kinesis Data analytics, S3, SNS, EC2, ECS/EKS, Cloudwatch, Lambda, API Gateway and Elasticache.
Experience in developing software using relational and Nosql databases similar to AWS RDS and Dynamodb.
Rules engine experience including integrating into rules engines and accessing data stores
Must have worked on at least 2 Agile/Scrum engagements
Ideally had professional services/consulting background