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Java Kafka Developer Jobs in Tennessee (NOW HIRING)

INSPYR Solutions

Software Quality Analyst

Memphis, TN · On-site

$45/hr

Experience with Kafka topics and consumer validation * Experience with NoSQL databases (e.g ... Programming & Technical Skills * Strong hands-on coding ability in: * Java (preferred) * JavaScript

U.S. Xpress, Inc.

Manager, Engineering

Chattanooga, TN · On-site

... Kafka. Experience with containerized environments (Docker, Kubernetes preferred), CI/CD pipelines, and modern DevOps practices. Experience leveraging AI-assisted engineering tools (e.g., Claude ...

INSPYR Solutions

Software Quality Analyst

Memphis, TN · On-site

$45/hr

Experience with Kafka topics and consumer validation * Experience with NoSQL databases (e.g ... Programming & Technical Skills * Strong hands-on coding ability in: * Java (preferred) * JavaScript

SpaceX

Application Software Engineer

Memphis, TN · On-site

Programming experience in Python, C#.NET, Go, Scala, Java, or similar object-oriented language * 1+ ... Experience working with in-stream data processing using Apache Kafka, RabbitMQ, ActiveMQ, or ...

U.S. Xpress, Inc.

Engineer, Data II

Chattanooga, TN · On-site

$82K - $103K/yr

Experience with a programming language (Python, Java, C#) • Transportation, Logistics, and/or ... Kafka or RabbitMQ, and relational databases like Amazon RDS is a plus • Strong SQL skills and ...

SpaceX

Application Software Engineer

Memphis, TN · On-site

Programming experience in Python, C#.NET, Go, Scala, Java, or similar object-oriented language * 1+ ... Experience working with in-stream data processing using Apache Kafka, RabbitMQ, ActiveMQ, or ...

PNC Bank

Java, SQL, Tomcat, Websphere Databases: Oracle, SQL, Neo4J, Mongo (distributed) or DB2, VSAM ... Kafka Caching/Data Stores: Redis, ESS Operating Systems: Linux/Unix, Windows Server, could include ...

Raymondjames

Lead Cloud Data Engineer

Memphis, TN · Hybrid

$99K - $131K/yr

Working experience in Python is preferred, Java and other languages are a plus * Nice to have ... AWS Certified Developer AWS Certified Machine Learning Education Bachelor's: Computer and ...

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Java Kafka Developer information

What is the difference between Java Kafka Developer vs Java Backend Developer?

AspectJava Kafka DeveloperJava Backend Developer
Primary FocusDesigning and implementing Kafka-based data streaming solutionsDeveloping server-side applications using Java
Required SkillsKafka architecture, messaging, Java, Spring BootJava, Spring, REST APIs, databases
Work EnvironmentData streaming platforms, real-time data processingWeb applications, enterprise systems
CertificationsJava, Kafka certifications often preferredJava certifications, Spring certifications

Java Kafka Developers specialize in building and maintaining Kafka-based data streaming solutions, focusing on real-time data processing. Java Backend Developers create broader server-side applications, often integrating various technologies. While both roles require Java expertise, Kafka Developers focus more on messaging systems, whereas Backend Developers work on general application logic.

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Lead Software Engineer - Healthcare Data & Audience Applications

Lead Software Engineer - Healthcare Data & Audience Applications

Zeta Global

Nashville, TN • On-site

Full-time

Re-posted 17 days ago

Job description

Job Summary:
Zeta Global is an AI-Powered Marketing Cloud that leverages advanced artificial intelligence to enhance marketing efficiency. They are seeking a Lead Software Engineer to build and scale healthcare-focused applications and data systems that power audience intelligence and measurement across healthcare workflows.
Responsibilities:
• Lead architecture and hands-on development of distributed systems supporting healthcare data workflows
• Design and implement scalable data pipelines (batch and streaming) for large-scale datasets
• Build and maintain APIs and services with strong SLAs, observability, and fault tolerance
• Implement identity resolution logic including matching, deduplication, and graph-based linkage
• Ensure high data quality through validation, reconciliation, and monitoring frameworks
• Design systems with strong security controls, including encryption, access control, and auditability
• Apply privacy-by-design principles across all systems handling PHI/PII
• Partner with Product and Data teams to translate healthcare requirements into scalable architectures
• Drive engineering best practices across testing, CI/CD, code quality, and operational excellence
• Mentor engineers and act as a technical leader across the team
Qualifications:
Required:
• 8–10 years of software engineering experience with increasing technical ownership
• Proven track record of building and scaling data-intensive or distributed systems
• Experience working in regulated environments (healthcare strongly preferred)
• Strong system design and architecture skills
• Ability to lead technically while remaining hands-on in implementation
• Strong collaboration skills across engineering, product, and data teams
• Strong experience designing distributed systems (microservices, event-driven architectures)
• Deep understanding of data modeling, storage systems (OLTP, OLAP), and data processing frameworks
• Experience with streaming and batch processing (e.g., Kafka, Spark, Flink, or similar)
• Proficiency in backend development (Python, Java, or Ruby) and API design (REST/gRPC)
• Experience building modern front-end applications (React or similar)
• Strong experience with cloud platforms (AWS, GCP, or Azure) and infrastructure-as-code
• Familiarity with containerization and orchestration (Docker, Kubernetes)
• Experience implementing observability (logging, metrics, tracing) and reliability patterns
• Strong understanding of performance optimization and scalability tradeoffs
• Experience working with HCP data (provider identity, targeting, segmentation)
• Experience with patient / DTC data workflows and privacy-aware systems
• Understanding of healthcare data ecosystems (claims, provider, or audience datasets)
• Familiarity with identity graphs and data onboarding patterns
• Experience building reporting or attribution systems tied to business outcomes
• Strong grasp of HIPAA, PHI/PII, and regulated data handling requirements
Preferred:
• Experience with healthcare data providers or identity ecosystems
• Background in AdTech, MarTech, or audience/data platforms
• Experience with privacy-enhancing technologies (tokenization, clean rooms)
• Exposure to ML/AI-driven data products or analytics systems
Company:
Zeta offers technology and marketing services to help brands acquire, engage, and retain customers. Founded in 2007, the company is headquartered in New York, USA, with a team of 1001-5000 employees. The company is currently Late Stage.

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