Azure Data Engineer

Experteer Overview In this Azure Data Engineer role, you’ll design and deploy scalable data pipelines and platforms to organize diverse data for mission-driven projects. You’ll collaborate with analysts, developers, and data consumers to support the end-to-end data lifecycle, from ingestion to analytics, in a fast-paced, agile environment. You’ll contribute to data architecture that enables insights for fraud detection, research, and national security. This role offers the chance to work on impactful data solutions at scale and advance data engineering standards. Compensation / Benefits * Build and maintain scalable ETL/ELT pipelines for reporting and analytics using Azure Synapse Analytics, Azure Data Factory, and Azure Databricks * Develop resilient data ingestion from REST APIs, databases, event streams, and SaaS platforms like Genesys and Salesforce * Design and implement medallion-style Lakehouse architectures on Synapse and Azure Databricks * Collaborate in a multi-disciplinary, agile team to design, develop, and maintain data platforms * Mentor junior engineers and contribute to data engineering standards and best practices * Monitor and alert data pipelines using tools like Azure Monitor or Dynatrace Tasks * 3+ years building scalable ETL/ELT pipelines with Azure Synapse, Azure Data Factory, and Azure Databricks * Experience with direct development on Azure services (Synapse, Data Factory, Logic Apps, Key Vault, ADLS Gen2, Databricks) * Experience building/maintaining resilient ingestion pipelines from REST APIs, databases, event streams, and SaaS like Genesys and Salesforce * Data modeling experience * Experience designing scalable Lakehouse architectures following medallion patterns * Mentoring experience and contributing to engineering standards * Knowledge of monitoring/alerting tools (Azure Monitor, Dynatrace) * Bachelor’s degree * Ability to obtain Public Trust or Suitability/Fitness determination Key requirements * health benefits * life benefits * disability benefits * retirement benefits * paid leave * professional development

agile team to design, develop, and maintain data platforms * Mentor junior engineers and contribute to data engineering standards and best practices * Monitor and alert data pipelines using tools like Azure Monitor or Dynatrace Tasks * 3+ years building scalable ETL/ELT pipelines with Azure Synapse, Azure Data Factory, and Azure Databricks * Experience with direct development on Azure services (Synapse, Data Factory, Logic Apps, Key Vault, ADLS Gen2, Databricks) * Experience building/maintaining resilient ingestion pipelines from REST APIs, databases, event streams, and SaaS like Genesys and Salesforce * Data modeling experience * Experience designing scalable Lakehouse architectures following medallion patterns * Mentoring experience and contributing to engineering standards * Knowledge of monitoring/alerting tools (Azure Monitor, Dynatrace) * Bachelor’s degree * Ability to obtain Public Trust or Suitability/Fitness determination Key requirements * health benefits * life benefits * a pipelines benefits * retirement benefits * paid leave * professional development