Hiring: Associate Data Engineer Company: UST Location: Frisco, TX Job Posted Time: 2026-09-10 10:16:36 Employment Type: Full-time Target Skills & Keywords : Azure, CI/CD, Databricks, Delta Lake, ELT, ETL, GDPR, Git, Iceberg, Kafka, PySpark, Python, SQL, ServiceNow, Snowflake, Spark About the job Experience: •1+ years of hands-on data engineering or software engineering experience, including internships and academic project work that demonstrate production-quality engineering habits. Required Skills: •Execute assigned components of solution designs handed off by Senior and Data Engineers, delivering production-grade code under senior engineer guidance. •Land source data into the team's unified ingestion framework using the patterns specified in the design. •Implement assigned data models and transformation logic in Snowflake (including Iceberg tables) and Databricks (Delta Lake, Unity Catalog) per the design. •Build assigned components of the semantic layer in Microsoft Fabric (Fabric IQ, OneLake) per the design specifications. •Build assigned Power BI visualizations and reports following the design specifications and the team's BI standards. •Implement unit tests, data quality checks, and reconciliation for assigned work. •This position description identifies the responsibilities and tasks typically associated with the performance of the position. Other relevant essential functions may be required. •Graduation Year: 2024, 2025 or 2026 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. •Exposure to HR data domains talent acquisition, workforce analytics, compensation, learning, performance, or people analytics. •Operational 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). •Exposure to AI/ML pipelines or building data products that support ML workloads. •Azure certifications (Azure Fundamentals, Data Engineer Associate) or working toward them. •Operational familiarity with data privacy concepts (GDPR, CCPA) and HR data handling considerations. •Visa sponsorship is not available for this role Compensation: •They are eligible to participate in the Company’s 401(k) Retirement Plan with employer matching Interested candidates, please apply directly through the job posting on company's career page or try via AI auto apply on this platform. Don't miss this opportunity to join a forward-thinking team!