Software Engineer I

About UKG

At UKG, the work you do matters. Today, tens of millions of workers start and end their days with our workforce operating platform, helping people get paid, grow in their careers, and shape the future of their industries. We offer real flexibility, strong benefits, and a collaborative team environment.

About the Role

As a Software Engineer I, you will work alongside experienced engineers to build and support scalable data platforms that power analytics, reporting, and business insights across UKG products. We are looking for passionate and curious graduates who are excited about data engineering, cloud technologies, and software development. In this role, you will learn how to design, build, and maintain data pipelines, work with modern cloud platforms, and contribute to large-scale data solutions that serve millions of users.

You will receive mentorship from senior engineers while gaining hands-on experience with data processing, cloud technologies, automation, and analytics platforms.

Key Responsibilities

• Assist in building and maintaining data pipelines that collect, transform, and process data.
• Support the development and testing of ETL/ELT workflows.
• Monitor data pipelines and help troubleshoot production issues.
• Work with engineers to ensure data quality, accuracy, and reliability.
• Write and optimize SQL queries for data analysis and reporting.
• Contribute to the development of data models and analytics solutions.
• Participate in code reviews and learn software engineering best practices.
• Help automate manual operational tasks and improve engineering efficiency.
• Create and maintain technical documentation for data processes and workflows.
• Collaborate with product managers, software engineers, and data engineers in an Agile environment.
• Learn and apply cloud technologies, DevOps practices, and modern data engineering tools.

Required Qualifications

• Bachelor's degree in Computer Science, Information Technology, Information Systems, Statistics, Mathematics, or a related technical field.
• Strong understanding of programming fundamentals and data structures.
• Knowledge of Python, Java, or another programming language.
• Basic understanding of SQL and relational databases.
• Familiarity with object-oriented programming concepts.
• Understanding of software development lifecycle and version control systems such as Git.
• Strong analytical and problem-solving skills.
• Good verbal and written communication skills.
• Eagerness to learn new technologies and work in a collaborative team environment.

Preferred Qualifications

• Internship, academic project, or coursework involving data engineering, analytics, or cloud technologies.
• Exposure to cloud platforms such as Google Cloud Platform (GCP), AWS, or Azure.
• Familiarity with data warehousing concepts, ETL processes, or big data technologies.
• Understanding of Agile development methodologies such as Scrum or Kanban.
• Experience with Python data libraries, SQL projects, or analytics dashboards.

What You'll Learn

• Cloud-native data engineering on Google Cloud Platform (GCP)
• Data pipelines, ETL/ELT, and large-scale data processing
• Data modeling and analytics platforms
• CI/CD and DevOps practices
• Observability, monitoring, and operational excellence
• AI-ready data platforms and modern data architectures