Server Jobs

About The Position

Requirements

• Bachelor's Degree in Computer Science, Management Information Systems or related field, or equivalent combination of education, training, and experience of 8+ years.
• 6+ years progressive experience in Business Intelligence.
• 3+ years of experience working with multiple data sources and producing high-quality, reliable datasets.
• Experience implementing CI/CD, version control, and deployment automation.
• 1+ year of experience overseeing several initiatives at a time and adjusting for competing priorities.
• Oral and written communication skills.
• Member service focus.
• Attention to detail and accuracy.
• Positive attitude that supports a team environment.
• Dependable and punctual; flexible during peak times.
• High level of confidentiality.
• Organizational skills.
• Self-motivated; ability to work without close supervision.
• Problem solving; analysis.

Nice To Haves

• Experience with Azure Data Factory, Databricks, and Azure Data Lake a plus.
• Knowledge of PCI DSS requirements.
• Familiarity with data governance standards.

Responsibilities

• Implement hybrid data architecture patterns, supporting both on-premises SQL Server and Azure cloud data platforms.
• Build, optimize, and maintain ingestion, transformation, and storage processes using Azure Data Factory and Databricks.
• Develop and enhance medallion-layer (bronze/silver/gold) data models within the Azure lake house environment.
• Apply and enforce change management policies, version control, CI/CD, and environment lifecycle standards.
• Ensure compliance with PCI, data privacy, and security standards within BI operations.
• Implement data quality frameworks, automated validation checks, and observability for reliable operations.
• Develop and optimize data extraction, transformation, and automation processes using Monarch.
• Create and maintain data pipelines, datasets, data flows, data dictionaries, and operational processes.
• Query production databases as needed, including but not limited to PCI data.
• Document pipelines, datasets, data flows, data dictionaries, and operational processes.
• Mentor data engineers in modern engineering practices.
• On call availability required for system support as needed (including nights and weekends).

Benefits

• Full-time, Exempt, Hybrid eligible