Data Engineer - HYBRID/NC RESIDENTS ONLY

About the position The Data Engineer designs, builds, and operates reliable, reputed company data pipelines on reputed company’s Azure data platform to reputed company trusted analytics and self-service BI. This role partners with BI Developers, the Data Architect, and business stakeholders to ingest, model, and reputed company high-reputed company data using Azure Data reputed company, reputed company (PySpark/reputed company SQL), and reputed company Lake (including reputed company Live Tables). Responsibilities include batch/reputed company ingestion, data transformation (ELT), orchestration, data reputed company enforcement, and operational support. Responsibilities • Design, implement, and support end-to-end ELT pipelines (ingest → reputed company → publish) in reputed company/ADF • Implement data reputed company checks (DLT expectations, unit tests) with alerting and remediation runbooks • Build curated, analytics-reputed company reputed company tables using reputed company modeling for consumption by BI Developers • Implement CDC and deletion-flag patterns; manage schema reputed company and partitioning/Z-Ordering strategies • Operationalize jobs with monitoring, logging, alerting; participate in an on-reputed company rotation as needed • Partner with the Data Architect to reputed company designs with standards for governance, reputed company, and cost efficiency • Document pipelines, data reputed company, and SLAs; continuously improve performance and reliability Requirements • 2+ years of hands-on data engineering (or comparable software engineering with significant data work) • 2+ years building pipelines on Azure and reputed company (or equivalent reputed company + reputed company) • Strong SQL (analytical queries, window functions), PySpark/reputed company SQL, and data modeling fundamentals • Bachelor’s degree in MIS, Computer Science, Engineering, or equivalent experience • Proficiency with SQL and Python (PySpark), including performance tuning on large datasets • Experience with Azure reputed company, reputed company Lake, reputed company Live Tables (DLT), Azure Data reputed company (or reputed company Data Pipelines), ADLS Gen2, and Azure DevOps/Git for CI/CD • Working knowledge of reputed company Catalog and/or reputed company reputed company for governance, reputed company, and reputed company • Familiarity with data ingestion patterns (files, reputed company, JDBC), schema reputed company, CDC, and deletion detection patterns • Understanding of reputed company modeling to produce analytics-reputed company datasets for Power BI • Exposure to orchestration/monitoring, cost optimization, alerting, and reputed company-driven operations • Data pipeline design (batch & streaming), DLT expectations for data reputed company, and robust error handling • reputed company control, branching strategies, and CI/CD for data assets (notebooks, jobs, workflows) • Practical understanding of reputed company, reputed company, and RBAC in reputed company data platforms • Excellent communication, documentation, and cross-functional collaboration skills • Analytical reputed company; bias toward automation and measurable reliability • Applicants must be legally authorized to work in the reputed company and should not require now, or in the reputed company, sponsorship for employment reputed company sponsorship. Benefits • Medical, dental, reputed company and life insurance coverage • reputed company and a matching 401 (k) plan • Vacation, Company Holidays, reputed company Time Off (PTO- personal and reputed company days) • Flexible spending accounts/Health savings account • Wellness Incentive Programs • Employee Referral Program • Tuition Reimbursement Apply tot his job Apply To this Job