Staff Software Engineer- Eng

UKG•Sunrise, FL

7d•$129,500 - $186,100

About The Position

UKG is seeking a Staff Software Engineer to join a component of a reliable, high-quality data platform that empowers customers with trusted, timely workforce insights. The mission is to build scalable, observable, and resilient data pipelines that uphold the highest standards of engineering excellence. Through automation, transparency, and continuous improvement, the team ensures data flows with integrity and precision, enabling customers to make confident, data-driven decisions about their people and their business. The ideal candidate has a passion for data, building data platforms, and solving complex data problems with modern, cloud-based technologies. They are curious, enjoy learning new technologies, and seek efficient solutions. They understand the value of delivering value to the customer quickly and welcome incremental feedback. The candidate should be technically savvy, stay up-to-date on the latest advances in technology, and be able to lead and mentor junior data engineers. They should be able to take high-level direction and break it down into a design and implementation. A technical background including modern programming languages, frameworks and patterns, test automation, performance optimization, ingestion and data extraction pipelines for streaming and batch processing of data, and debugging as these apply to data is required.

Requirements

8+ years of experience handling database development, BI development, ETL development, and API data integrations including the technical architectures and infrastructure components as well as the reporting and analytical tools.
8+ years of experience in programming language on the JVM– Java, Scala, Kotlin
Deep experience in developing and maintaining data extraction pipelines in both streaming and batch methodologies, leveraging tools such as Cloud Composer, Cloud Dataflow, Airflow, Apache Beam, Cloud Functions, Cloud Pub Sub, Kafka among others.
Deep experience managing automated deployments automation using technologies such as Terraform, GCloud CLI, Docker, Bash, Humanitec, Jenkins, Github Actions among others.
Leverage AI coding agents such as Claude Code or Codex to accelerate software development, including generating production-ready code, refactoring existing systems, debugging complex issues, and improving engineering throughput while maintaining code quality, security, and architectural standards.
Experience designing security-first data pipelines with privacy-preserving transformations.
Deep experience of test automation, data quality and observability for the pipelines using technologies such as TestNG, Junit, PyTest, Terratest, TestRail, among others, ensuring that there is not only test code coverage, but regression tests and edge test case handling.
Solid experience in data analysis, data transformation and data anomaly handling.

Nice To Haves

Proficient in working with SQL and NoSQL databases such as but not limited to BigQuery, PostgreSQL, MS SQL Server, MongoDB
Proficient with Cloud Infrastructure such as GCP, Azure, AWS
Understanding of source control technologies such as GIT, SVN etc.
Strong written and verbal, communication, and organizational skills
High degree of self-motivation to learn new methodologies that will enhance job performance
Ability to successfully work within a team and manage a dynamic environment with rapidly changing priorities
Bachelor of Science degree in Computer Science or related field, or equivalent experience, in addition to the outlined qualifications.

Responsibilities

Handling database development, BI development, ETL development, and API data integrations including the technical architectures and infrastructure components as well as the reporting and analytical tools.
Programming in a language on the JVM – Java, Scala, Kotlin.
Developing and maintaining data extraction pipelines in both streaming and batch methodologies, leveraging tools such as Cloud Composer, Cloud Dataflow, Airflow, Apache Beam, Cloud Functions, Cloud Pub Sub, Kafka among others.
Managing automated deployments automation using technologies such as Terraform, GCloud CLI, Docker, Bash, Humanitec, Jenkins, Github Actions among others.
Leveraging AI coding agents such as Claude Code or Codex to accelerate software development, including generating production-ready code, refactoring existing systems, debugging complex issues, and improving engineering throughput while maintaining code quality, security, and architectural standards.
Designing security-first data pipelines with privacy-preserving transformations.
Implementing test automation, data quality and observability for the pipelines using technologies such as TestNG, Junit, PyTest, Terratest, TestRail, among others, ensuring that there is not only test code coverage, but regression tests and edge test case handling.
Performing data analysis, data transformation and data anomaly handling.
Setting up and monitoring data loads in test and production environments, handling production support, performance tuning and optimization.
Leading and participating in technical discussions, peer reviewing code, helping junior developers, and contributing to technical documentation and knowledge bases.
Communicating both technically and with business stakeholders.