Sr. Engineer, Data

Senior Engineer, Data This position is an early‑career role focused on the full HR Analytics data engineering vertical, from ingestion through to Microsoft Fabric semantic layer and Power BI visualizations. Responsibilities Execute assigned components of solution designs, delivering production‑grade code under senior engineer guidance. Land source data into the team's unified ingestion framework following defined patterns. Implement assigned data models and transformation logic in Snowflake (including Iceberg tables) and Databricks (Delta Lake, Unity Catalog) according to specifications. Apply medallion architecture (bronze, silver, gold) and team engineering standards to all work, including naming conventions, documentation, and code reviews. Build semantic layer components in Microsoft Fabric (Fabric IQ, OneLake) as specified. Create Power BI visualizations and reports following design specifications and BI standards. Implement unit tests, data quality checks, and reconciliation for assigned work. Qualifications Graduation Year: 2024, 2025, or 2026 GPA: 3.5 or higher 1+ year of related work experience or equivalent internship/bootcamp/project experience. Bachelor's degree in Computer Science, Engineering, or a related field. Working proficiency in SQL and Python. Exposure to Spark (PySpark or Spark SQL) or strong willingness and demonstrated ability to learn quickly. Exposure to cloud data platforms such as Databricks, Snowflake, or comparable systems. Familiarity with at least one BI tool (Power BI preferred, Tableau or similar acceptable). Understanding of fundamental data engineering concepts: data modeling, ETL/ELT, data quality, source‑to‑target mapping. Familiarity with Git, code review practices, and basic CI/CD concepts. Strong communication skills, problem‑solving instincts, curiosity, and discipline to deliver high‑standard work. Eagerness to learn the full vertical and take on broader ownership over time. Preferred Qualifications Hands‑on coursework, internship, or project experience with Databricks (Delta Lake) or Snowflake at any scale. Hands‑on coursework, internship, or project experience with Microsoft Fabric, OneLake, or Power BI. Exposure to Iceberg tables or other modern open table formats. Experience with HR data domains such as talent acquisition, workforce analytics, compensation, learning, performance, or people analytics. Familiarity with Workday, ServiceNow HR, or comparable HR systems of record. Exposure to streaming technologies (Kafka, Azure Event Hub, Delta Live Tables, or Spark Structured Streaming). Experience with AI/ML pipelines or building data products that support ML workloads. Azure certifications (Azure Fundamentals, Data Engineer Associate) or active pursuit thereof. Knowledge of data privacy concepts (GDPR, CCPA) and HR data handling considerations. Location & Compensation Role Location: Georgia Compensation Range: $45–$50 per hour Benefits Full‑time, regular employees accrue at least 10 days of paid vacation per year, 6 days of paid sick leave, 10 paid holidays, and paid bereavement leave. Eligible for the Company’s 401(k) Retirement Plan with employer matching, medical, dental, and vision insurance, and basic life, accidental death, and disability coverage. Additional voluntary benefits may be available, including HSA and FSA options for eligible employees. Equal Employment Opportunity Statement UST is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or any other protected characteristic. The company may consider qualified applicants with arrest or conviction records in accordance with applicable laws. Notice UST reserves the right to redefine roles and responsibilities as needed based on organizational requirements or performance. #J-18808-Ljbffr UST