Data Engineer Jobs in Cary, NC

Build, test, monitor, validate, and support scalable ETL/ELT data pipelines and validation frameworks in Azure/Databricks. Perform source-to-target validation, data profiling, reconciliation, anomaly detection, automation, and production support to ensure data quality and reliability for analytics and reporting.

Lead design, build, troubleshoot, and deliver enterprise-scale data solutions on Azure and Hadoop. Provide technical oversight, mentoring, enforce standards, code, unit test, and collaborate with cross-functional partners to implement scalable data pipelines and analytics platforms.

Design, build, and operate ingestion and transformation pipelines into Salesforce Data Cloud; model and resolve identities; integrate enrichment sources and Databricks; ensure data quality, governance, and documentation to support analytics and Agentforce AI agents.

The Lead Data Engineer will design and build data architectures, lead a team, and develop ETL processes using cloud technologies to optimize data solutions for the U.S. business.