Company Overview
With 80,000 customers across 150 countries, UKG is the largest U.S.-based private software company in the world. And we're only getting started. Ready to bring your bold ideas and collaborative mindset to an organization that still has so much more to build and achieve? Read on.
At UKG, you get more than just a job. You get to work with purpose. Our team of U Krewers are on a mission to inspire every organization to become a great place to work through our award-winning HR technology built for all.
Here, we know that you're more than your work. That's why our benefits help you thrive personally and professionally, from wellness programs and tuition reimbursement to U Choose - a customizable expense reimbursement program that can be used for more than 200+ needs that best suit you and your family, from student loan repayment, to childcare, to pet insurance. Our inclusive culture, active and engaged employee resource groups, and caring leaders value every voice and support you in doing the best work of your career. If you're passionate about our purpose - people -then we can't wait to support whatever gives you purpose. We're united by purpose, inspired by you.
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We are seeking an experienced Software Engineer with a strong background in data engineering designing and implementing robust data pipelines and architectures using Google Cloud Platform (GCP). The ideal candidate will have extensive experience with orchestration and data engineering tools as well as cloud data warehouses. You will collaborate with cross-functional teams to design, develop, and deploy scalable, secure, and efficient AI-based applications that enhance business operations. The candidate should be comfortable working in an agile/scrum environment, utilizing standardized frameworks, Git repositories, and CI/CD processes for deployment.
This person would be working hybrid out of one of our offices in the following locations:
Weston | Weston, FL, USA
MA Lowell | Lowell, MA , USA
Alpharetta | Alpharetta, GA, USA
GA-Atlanta | Atlanta, GA , USA
Maitland | Maitland, FL, USA
Responsibilities:
Discover data sources (files, APIs, databases), get access to them, ingest them, clean them up, and make them machine learning ready.
Create and refine features from the underlying data and build pipelines to train and deploy models.
Partner with cross-functional teams, business data analyst, product owners and business users to understand, implement, refine, and design technical solutions.
Implement cloud-native solutions using GCP services, ensuring data integrity, scalability, security, and reliability across all data pipelines and storage solutions.
Develop data products, including web applications, API endpoints, and data visualizations, that deliver information and insights to business users.
Develop, maintain, and support the front-end Data Marketplace.
Ensure best practices in cloud security and compliance are met in the design and implementation.
Work closely with DevOps teams to automate deployment processes and monitoring of technical solutions.
Contribute to the design, development, and deployment of complex software applications and systems, ensuring they meet high standards of quality and performance.
Manage execution and delivery of features and projects, negotiating project priorities and deadlines, ensuring successful and timely completion, with quality. Participate in agile/scrum ceremonies, contributing to sprint planning, stand-ups, and retrospectives.
Optimize AI-driven applications for performance and scalability.
Diligent about reviewing code developed by other developers, provide feedback and maintain a high bar of technical excellence to ensure code is adhering to industry standard best practices like coding guidelines, elegant, efficient and maintainable code, with observability built from ground up, unit tests etc.
Build testable software, define tests, participate in the testing process, automate tests using tools (e.g., Junit, Selenium) and Design Patterns leveraging the test automation pyramid as the guide.
Maintain the health and quality of services and incidents, proactively identifying and resolving issues. Utilize service health indicators and telemetry for action providing recommendations to optimize performance. Conduct thorough root cause analysis and drive the implementation of measures to prevent future recurrences. Maintain and support the data fabric / data platform that allows data analysts and scientists leverage for end-to-end data and information.
Properly document new features, enhancements or fixes to the product, contributing to training materials.
Implement medallion architecture in datalakes (Azure Data Lake & Google Cloud Store) and star schema data modeling to transform and integrate data into a unified EDW structure utilizing advanced SQL and Python (PySpark).
Basic Qualifications:
Bachelor's degree in data science, Computer Science, Engineering, or related field, or equivalent work experience.
6+ years of experience in data engineering, with a focus on Azure and/or Google cloud data technologies.
Proficient in cloud data warehousing and orchestration tools such as Azure Data Factory, Apache Airflow, DataFlow, Google Big Query, Azure Databricks, and Deltalake (Lakehouse).
Strong knowledge of data ingestion techniques from various sources, including files, FTP, and third-party APIs.
Experience with medallion architecture and star schema data modeling.
Proven ability to monitor, troubleshoot, and tune data pipelines for optimal performance.
Advanced skills in SQL, Python (PySpark) and JavaScript.
Familiarity with agile/scrum methodologies and standardized frameworks.
Experience with Github repositories and CI/CD processes.
Preferred Qualifications:
Experience in GCP services, including AI Platform, Cloud Functions, Cloud Run, BigQuery, Pub/Sub, Cloud Storage, Cloud SQL, Vertex AI
Experience with some ML Engineering concepts and deploying and serving ML assets utilizing tools such as Vertex AI, Databricks ML (ML Flow), and Kubeflow
Experience in Apache Spark frameworks
Experience test automation frameworks and tools
Soft Skills:
Excellent problem-solving skills and attention to detail.
Ability to work effectively in a collaborative, fast-paced environment.
Strong communication skills and ability to explain complex technical concepts to non-technical stakeholders.
Agile mindset with a focus on continuous improvement and learning
Where we're going
UKG is on the cusp of something truly special. Worldwide, we already hold the #1 market share position for workforce management and the #2 position for human capital management. Tens of millions of frontline workers start and end their days with our software, with billions of shifts managed annually through UKG solutions today. Yet it's our AI-powered product portfolio designed to support customers of all sizes, industries, and geographies that will propel us into an even brighter tomorrow!
Equal Opportunity Employer
Ultimate Kronos Group is proud to be an equal opportunity employer and is committed to maintaining a diverse and inclusive work environment. All qualified applicants will receive considerations for employment without regard to race, color, religion, sex, age, disability, marital status, familial status, sexual orientation, pregnancy, genetic information, gender identity, gender expression, national origin, ancestry, citizenship status, veteran status, and any other legally protected status under federal, state, or local anti-discrimination laws.
View The EEO Know Your Rights poster and its supplement.
View the Pay Transparency Nondiscrimination Provision
UKG participates in E-Verify. View the E-Verify posters here.
Disability Accommodation
For individuals with disabilities that need additional assistance at any point in the application and interview process, please email UKGCareers@ukg.com.
The pay range for this position is $99,800 to $156,700, however, base pay offered may vary depending on skills, experience, job-related knowledge and location. This position is also eligible for a short-term incentive and a long-term incentive as part of total compensation. Information about UKG's comprehensive benefits can be reviewed on our careers site at https://www.ukg.com/careers