Kafka Streams

Kafka Streams Engineer Jobs

3 jobs found

Today

Streaming Data Engineer

Bright Vision Technologies Remote 🇺🇸 Remote

Remote

Today

$78k - $105k/yr Full time Big Data Cloud Streaming Data

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Job Description

Bright Vision Technologies is hiring a Streaming Data Engineer for a 100% remote role based in the U.S. In this position, you will architect, deploy, and operate large-scale Apache Kafka and Confluent Platform environments that support mission-critical, event-driven workloads.

You will own the Kafka platform end-to-end, from capacity planning and configuration through security, automation, observability, and developer enablement, partnering with engineering teams to turn ambiguous requirements into well-engineered streaming solutions.

Role Overview

Architect, deploy, and operate large-scale Apache Kafka and Confluent platform environments for mission-critical event-driven workloads.
Own the Kafka platform end-to-end, including cluster sizing, configuration, security, automation, observability, and developer enablement.
Partner with application teams to deliver a reliable, performant, and developer-friendly streaming platform.
Work closely with cross-functional partners including product, design, engineering, operations, and business stakeholders to translate ambiguous requirements into solutions.
Raise the bar through code review, design review, and mentorship of more junior engineers.

Requirements

Bachelor’s degree in Computer Science, Engineering, or a related technical discipline.
5+ years of experience operating Apache Kafka or Confluent Platform in production.
Deep, hands-on knowledge of Kafka internals: partitions, replication, ISRs, and consumer groups.
Strong experience with Kafka security: SASL, mTLS, ACLs, and RBAC.
Hands-on experience with Kafka Connect, Schema Registry, and either Kafka Streams or ksqlDB.
Experience implementing HA/DR strategies for Kafka.
Strong scripting skills in Python, Bash, or Go.
Hands-on experience with infrastructure-as-code using Terraform and Ansible.
Working knowledge of observability tooling for Kafka.
Excellent troubleshooting, communication, and documentation skills.

Technologies

Apache Kafka, Confluent Platform
Kafka Connect, Schema Registry
Kafka Streams, ksqlDB
SASL, mTLS, ACLs, RBAC
Python, Bash, Go
Terraform, Ansible
Kafka (observability tooling)

Preferred Qualifications

Confluent Certified Administrator or Developer credentials.
Experience operating Kafka on Kubernetes using Strimzi or Confluent Operator.
Exposure to managed Kafka services such as AWS MSK or Azure Event Hubs Kafka API.
Familiarity with stream processing frameworks including Flink or Spark Streaming.
Experience with data governance and lineage for streaming data.

Compensation and Location

Location: Remote (remote)
Salary: USD 78,000 - 105,000 per year

Visa Sponsorship

U.S. Citizens, Green Card Holders, EAD Holders, and H-1B transfer candidates are encouraged to apply.
We are unable to sponsor new H-1B visa petitions for this position.

How to Apply

For immediate consideration, send your resume to hilda@bvteck.com.

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1d ago

AWS/Kafka Data Engineer - Senior Software Engineer

Capgemini Atlanta, GA

Atlanta, GA

1d ago

$89k - $166k/yr Full time Backend Developer Aws Data Engineer Aws Data Engineering

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Job Description

Design and deliver real-time and batch data platforms using AWS and Apache Kafka in a hybrid role supporting enterprise integrations.

Responsibilities

Design, build, and deploy resilient real-time and batch data pipelines that integrate disparate ERP systems with downstream data lakes and platforms
Use Apache Kafka, Kafka Connect, and stream processing engines (Kafka Streams or Apache Flink) to process and transform high-volume CDC and transactional data
Develop microservices and integration layers with Java and Spring Boot to orchestrate complex data flows and enterprise APIs
Package applications into Docker containers and support scalable deployments, service discovery, and container orchestration with Kubernetes
Optimize data movement and processing across multi-database environments including PostgreSQL, MySQL, SQL Server, and Oracle
Implement Infrastructure as Code with Terraform or AWS CloudFormation
Build automated CI/CD deployment pipelines using GitHub Actions
Set up monitoring, APM, log management, and alerting for pipeline health and transactional accuracy using tools such as DataDog, New Relic, or Splunk

Requirements

10+ years of software or data engineering experience
Strong proficiency in AWS, Kafka, Java, Spring Boot, and Python
Expertise with AWS Managed Kafka (data and integration)
Experience designing and configuring AWS Managed Kafka
Experience with PostgreSQL, MySQL, SQL Server, and Oracle

Technologies

AWS
Apache Kafka
Kafka Connect
Kafka Streams
Apache Flink
Java
Spring Boot
Docker
Kubernetes
PostgreSQL
MySQL
SQL Server
Oracle
Terraform
AWS CloudFormation
GitHub Actions
DataDog
New Relic
Splunk
AWS Managed Kafka

Compensation

Base compensation range for the posted location: $89,400 - $166,398 per year

Benefits

Paid time off based on employee grade (A-F), per policy: Vacation 12-25 days (depending on grade)
Company paid holidays
Personal Days
Sick Leave
Medical, dental, and vision coverage (or provincial healthcare coordination in Canada)
Retirement savings plans (e.g., 401(k) in the U.S., RRSP in Canada)
Life and disability insurance
Employee assistance programs

Location

Atlanta, GA 30305 (hybrid)
Hybrid role based across locations including Atlanta, Dallas, Chicago, Nashville, and New Jersey

Important Notice: In addition to base salary, this role may be eligible for additional compensation such as variable incentives, bonuses, or commissions, depending on the position and applicable laws.

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2mo ago

Senior Data Engineer

Software Resources, Inc. Lake Buena Vista, FL

Lake Buena Vista, FL

2mo ago Closed

Contract Senior Analytics Apache Beam

This position is no longer accepting applications (closed Aug 18, 2026).

Job Description

Contract Senior Data Engineer in Lake Buena Vista, FL, with a hybrid schedule on-site Monday through Thursday and remote Fridays, focusing on designing, developing, and implementing data engineering systems and ETL/ELT pipelines.

Responsibilities

Contribute to data requirements gathering with stakeholders
Perform source-to-target mapping activities
Develop and review data validation scripts
Design, implement, and monitor ETL and ELT pipelines
Produce datasets used as inputs for science models and visualizations
Participate in technical reviews to ensure quality deliverables
Develop domain understanding of business processes and apply it to assigned work
Communicate data engineering progress to the project leadership team
Actively participate in meetings and discussions

Requirements

Minimum 2 years of relevant professional experience
Bachelor’s degree in Computer Science, Mathematics, Software Engineering or related field, or equivalent experience
5+ years of ELT/ETL development experience using SQL and Python
2+ years developing and maintaining data pipelines with a framework such as Apache Flink, Apache Beam or Kafka Streams
Experience understanding a business domain to support data requirements and design solutions
Experience delivering code across multiple environments (Dev, QA, Prod) and applying DevOps practices for deployment and promotion
Strong database design skills and experience with PostgreSQL or Snowflake
Experience managing and deploying code using GitLab or GitHub
Ability to articulate solutions and explain complex technical concepts to non-technical teammates

Technologies

Snowflake
SQL
Python
Apache Flink
Apache Beam
Kafka Streams
Docker
Kubernetes
AWS
Databricks
PostgreSQL
GitLab
GitHub

Benefits

Medical, dental, and vision coverage
401(k) with company match
Short-term disability
Life insurance with AD&D

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