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Java Kafka Developer Jobs in Utah (NOW HIRING)

Fidelity Investments

Senior Data Engineer

Salt Lake City, UT · On-site

$102K - $139K/yr

Develops and designs functional programming, emerging technologies, and messaging frameworks, using Kafka. Implements business rule management systems in Python or Java with Drools, Pyke, and Nools.

Fidelity Investments

Senior Data Engineer

Salt Lake City, UT · On-site

$102K - $139K/yr

Develops and designs functional programming, emerging technologies, and messaging frameworks, using Kafka. Implements business rule management systems in Python or Java with Drools, Pyke, and Nools.

Waystar

Sr. Software Engineer - Full Stack

Lehi, UT · On-site

... NodeJS, Java, AWS and more. • Participate in technical and product discussions with leaders ... like Kafka • Experience with data pipeline technologies Company : Waystar is a technology ...

Deloitte

Automation Engineer

Salt Lake City, UT · Hybrid

Collaborate closely with Java developers, Mainframe engineers, product managers, and project ... as Kafka and RabbitMQ. * Experience with Mainframe environments, including use of terminal ...

Deloitte

Senior Automation Engineer

Salt Lake City, UT · Hybrid

$100K - $132K/yr

Collaborate closely with Java developers, Mainframe engineers, product managers, and project ... as Kafka and RabbitMQ. * Experience with Mainframe environments, including use of terminal ...

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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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Infographic showing various Java Kafka Developer job openings in Utah as of June 2026, with employment types broken down into 91% Full Time, 7% Part Time, and 2% Contract. Highlights an 78% Physical, 9% Hybrid, and 13% Remote job distribution.

Senior Data Engineer

Fidelity Investments

Salt Lake City, UT • On-site

$102K - $139K/yr

Full-time

Posted 5 days ago

Fidelity Investments rating

8.7

Company rating: 8.7 out of 10

Based on 264 frontline employees who took The Breakroom Quiz

14th of 138 rated financial services

Job description

Job Description:
Position Description:
Designs and implements scalable data pipelines, optimizes workflows for performance and reliability, and ensures compliance with data governance policies. Programs testable and maintainable software solutions using Object Oriented (OO) Python programming and Machine Learning (ML) libraries, including Pandas, NumPy, Scikit-learn, and TensorFlow. Develops and designs functional programming, emerging technologies, and messaging frameworks, using Kafka. Implements business rule management systems in Python or Java with Drools, Pyke, and Nools. Leverages quantitative, statistics, and econometrics (including probability, linear regression, time series data analysis, and optimizations) techniques and methods. Programs testable and maintainable software solutions using Splunk, Snowflake, YugabyteDB, Aerospike, and S3 database management systems. Employs Agile development lifecycle methodologies (Kanban and SCRUM).
Primary Responsibilities:
  • Develops software system testing and validation procedures, programming, and documentation.
  • Develops original and creative technical solutions to on-going development efforts.
  • Designs applications or subsystems on major projects and for/in multiple platforms.
  • Performs technical and functional analysis for data engineering projects.
  • Supports and performs all phases of testing leading to implementation.
  • Develops comprehensive documentation for multiple applications supporting several corporate initiatives.
  • Responsible for post-installation testing of any problems.
  • Establishes project plans for projects of moderate scope.
  • Works on complex assignments and often multiple phases of a project.
  • Collaborates with teams to support data-centric initiatives.
  • Performs independent and complex technical and functional analysis for multiple projects supporting several initiatives.

Education and Experience:
Bachelor's degree in Computer Science, Engineering, Information Technology, Information Systems, or a closely related field (or foreign education equivalent) and three (3) years of experience as a Senior Data Engineer (or closely related occupation) architecting, building, deploying, and monitoring real-time and batch pipelines for data engineering in a financial services environment.
Or, alternatively, Master's degree in Computer Science, Engineering, Information Technology, Information Systems, or a closely related field (or foreign education equivalent) and one (1) year of experience as a Senior Data Engineer (or closely related occupation) architecting, building, deploying, and monitoring real-time and batch pipelines for data engineering in a financial services environment.
Skills and Knowledge:
Candidate must also possess:
  • Demonstrated Expertise ("DE") performing cloud-native, event-driven, data platform architecture using Amazon Web Services (AWS) (Lambda, Glue, EC2, EMR, Athena, and Crawler), PySpark, Kafka, and Airflow in enterprise environments.
  • DE building and optimizing data lakes, warehouses, and models, using Snowflake, Redshift, SQL, and Denodo to access federated databases (Oracle, DB2, Teradata, MongoDB, PostgreSQL, MSSQL, Yugabyte, and Aerospike); and enabling scalable transformations, performance tuning, and cross-platform insights.
  • DE developing Continuous Integration and Continuous Delivery (CI/CD) pipeline development and data workflow orchestration, using Airflow, Control-M, Jenkins, SQL, Python, Terraform, and Docker within the Software Development Life Cycle (SDLC), to automate ingestion, transformation, validation, and monitoring for data integrity, Agile delivery, and operational efficiency.
  • DE performing Extract Transform Load /Extract Load Transform (ETL/ELT) for predictive modeling and analytics, using Python, Pandas, Scikit-learn, TensorFlow, and Snowpark; generating insights using PowerBI, Tableau, or Quicksight; and developing scalable solutions using Java, Shell, PL/SQL, Talend, Alteryx, Informatica, Unix, and Linux.

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Certifications:
Category:
Information Technology
Please be advised that Fidelity's business is governed by the provisions of the Securities Exchange Act of 1934, the Investment Advisers Act of 1940, the Investment Company Act of 1940, ERISA, numerous state laws governing securities, investment and retirement-related financial activities and the rules and regulations of numerous self-regulatory organizations, including FINRA, among others. Those laws and regulations may restrict Fidelity from hiring and/or associating with individuals with certain Criminal Histories.

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