Staff Software Engineer- Eng

• You have a passion for data, building data platforms, and enjoy solving complex data problems with modern, cloud-based technologies. You are naturally curious, enjoy learning new technologies and seek out efficient solutions without producing complicated code. You understand the value of delivering value to the customer quickly and welcome incremental feedback

• You are technically savvy and stay up to date on the latest advances in technology in your field. You can lead and mentor junior data engineers and show them the ropes. You can take high-level direction and break it down into a design and implementation. You have a technical background that includes 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.

Basic Qualifications

-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

Preferred Qualifications

-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

-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

-Able to communicate both technically and with business stakeholders

-Bachelor of Science degree in Computer Science or related field, or equivalent experience, in addition to the outlined qualifications.

The pay range for this position is $129,500 to $186,100. The actual base pay offered may vary depending on skills, experience, job-related knowledge and work location. In addition to base pay, employees may be eligible to participate in a performance-based bonus plan and to receive restricted stock unit awards as part of total compensation. Learn more about UKG’s benefits and rewards at https://www.ukg.com/about-us/careers/benefits

At UKG, the work you do matters. The code you ship, the decisions you make, and the care you show a customer all add up to real impact. 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. That’s what we do.

We never stop learning. We never stop challenging the norm. We push for better, and we celebrate the wins along the way. Here, you’ll get flexibility that’s real, benefits you can count on, and a team that succeeds together. Because at UKG, your work matters-and so do you.

Who we are–Our team is a component of a reliable, high-quality data platform that empowers customers with trusted, timely workforce insights. Our mission is to build scalable, observable, and resilient data pipelines that uphold the highest standards of engineering excellence. Through automation, transparency, and continuous improvement, we ensure data flows with integrity and precision, enabling customers to make confident, data-driven decisions about their people and their business., UKG is the Workforce Operating Platform that puts workforce understanding to work. With the world’s largest collection of workforce insights, and people-first AI, our ability to reveal unseen ways to build trust, amplify productivity, and empower talent, is unmatched. It’s this expertise that equips our customers with the intelligence to solve any challenge in any industry - because great organizations know their workforce is their competitive edge. Learn more at ukg.com.

Equal Opportunity Employer

UKG is an equal opportunity employer. We evaluate qualified applicants without regard to race, color, disability, religion, sex, age, national origin, veteran status, genetic information, and other legally protected categories.

View The EEO Know Your Rights poster (https://www.eeoc.gov/sites/default/files/2022-10/EEOC_KnowYourRights_screen_reader_10_20.pdf)

UKG participates in E-Verify. View the E-Verify posters here (https://www.e-verify.gov/sites/default/files/everify/posters/EVerifyParticipationPoster.pdf) .

It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.