> Markdown version of [/jobs/ext/150757-sr-staff-software-engineer-eng](https://www.wearedevelopers.com/jobs/ext/150757-sr-staff-software-engineer-eng). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Sr. Staff Software Engineer- Eng - **Company:** UKG Inc. - **Location:** Atlanta, GA, United States - **Experience:** Expert - **Salary:** $145,600.0 - $204,200.0 - **Contract:** Permanent contract - **Skills:** Java (Programming Language), Artificial Intelligence, Amazon Web Services, Amazon S3, Big Data, BigQuery, Cloud Computing, Cloud Storage, Computer Programming, Data Governance, Data Integration, Data Systems, Software Debugging, Distributed Computing Environment, Distributed Data Store, Data Flow Control, Information Lifecycle Management, Python (Programming Language), Meta-Data Management, Performance Tuning, Query Optimization, Reliability Engineering, Cloud Services, Cloudera, Scala (Programming Language), Software Engineering, Data Streaming, Unstructured Data, Google Cloud, Feature Engineering, Data Ingestion, System Availability, Data Strategy, Production Code, Maintaining Code, Machine Learning Operations, Data Pipelines - **Published:** May 16, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=9568f123a9258a3c ## About the Role Do you have experience in Solution architecture design?, * 8+ years of software engineering experience, including 3+ years in lead or staff-level positions. * Strong programming skills in Python, Java, Scala, or similar languages * Ability to leverage AI tools 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. * Ability to break ambiguous problems into structured designs and actionable plans. * Demonstrated ability to mentor engineers and influence technical direction across teams. * Deep experience building distributed data systems using GCP services (AWS is also acceptable), including BigQuery, Dataflow (Beam), Dataform, and Pub/Sub. * Strong understanding of data modeling, partitioning strategies, schema evolution, and cost-efficient query optimization. * Experience designing security-first data pipelines with privacy-preserving transformations. * Strong experience integrating data-science workflows or ML/analytical models into production systems., * Experience architecting enterprise data lakes, lakehouse platforms, or real-time streaming data systems. * Experience enabling machine learning workflows, including feature engineering platforms, model training pipelines, or model deployment infrastructure. * Experience working with large-scale structured and unstructured datasets in cloud-based environments. * Experience defining data strategy across multiple teams, including metadata management and data lifecycle practices. * Experience improving platform reliability through observability, data quality frameworks, and automated validation techniques. * Experience mentoring senior engineers, data engineers, or data scientists and influencing technical direction across domains. * Experience operating in regulated environments with strong data compliance and audit requirements. ## Description This staff level role leads the technical strategy and execution for a large-scale data platform built on Google Cloud. The platform transforms extensive customer datasets into advanced analytical outputs and derived metrics. As the most technically skilled engineer on the team, this person drives architectural direction, mentors engineers, and ensures the platform is secure, scalable, and reliable. The role includes close collaboration with a dedicated Data Science team that provides statistical methods and analytical models, which this engineer will help integrate and operationalize. About the Role * Mentor engineers; guide design reviews, coding standards, and technical best practices. * Translate analytical requirements into technical designs and execution plans in partnership with product and data stakeholders. * Troubleshoot complex issues involving distributed processing, data-quality anomalies, or system bottlenecks. * Lead architecture reviews, performance tuning, cost optimization, and reliability engineering initiatives. * Collaborate with the Data Science team to operationalize their models, quantitative logic, and statistical frameworks-without owning statistical methodology design. * Implement end-to-end data workflows that generate aggregated insights and derived metrics at scale. * Engineer strong privacy, compliance, and anonymization mechanisms into all data pipelines (masking, thresholding, auditing). * Build scalable data ingestion, transformation, and aggregation pipelines that support high-volume HCM datasets. * Architect and evolve a cloud-native data platform using tools like BigQuery, Dataflow, Dataform, Pub/Sub, Dataproc, Cloud Storage or AWS equivalent tools like redshift, S3, Athena, ect * Introduce new GCP tools or frameworks as needed to support long-term scalability and maintainability., UKG will never ask you for a copy of your driver's license, social security card, or passport during a job inter ABOUT OUR JOB DESCRIPTIONS All job descriptions are written to accurately reflect the open job and include general work responsibilities. They do not present a comprehensive, detailed inventory of all duties, responsibilities, and qualifications required for the job. Management reserves the right to revise the job or require that other or different tasks be performed if or when circumstances change. ## Related Videos - [Alibaba Big Data and Machine Learning Technology](https://www.wearedevelopers.com/videos/37-alibaba-big-data-and-machine-learning-technology) - [Data Science in Retail](https://www.wearedevelopers.com/videos/586-data-science-in-retail) - [Data Governance in the Era of AI](https://www.wearedevelopers.com/videos/1622-data-governance-in-the-era-of-ai) - [Making Data Warehouses fast. A developer's story.](https://www.wearedevelopers.com/videos/302-making-data-warehouses-fast-a-developer-s-story) - [PySpark - Combining Machine Learning & Big Data](https://www.wearedevelopers.com/videos/44-pyspark-combining-machine-learning-big-data) - [From Messy Queries to Scalable Systems - How Data Engineering actually works](https://www.wearedevelopers.com/videos/100203-from-messy-queries-to-scalable-systems-how-data-engineering-actually-works) ## Related Articles - [Data Engineer Salary UK](https://www.wearedevelopers.com/magazine/253-data-engineer-salary-uk) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [Software Engineer Salary London](https://www.wearedevelopers.com/magazine/252-software-engineer-salary-london) - [The 12 Best Jobs for Software Engineers](https://www.wearedevelopers.com/magazine/401-the-12-best-jobs-for-software-engineers) - [Top-Paying Tech Jobs (with Salaries)](https://www.wearedevelopers.com/magazine/372-top-paying-tech-jobs-with-salaries) - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer)