Data Engineer

Responsibilities

• Design, develop, and maintain scalable ETL/ELT pipelines to support enterprise data integration and analytics
• Ingest, transform, and integrate data from diverse sources including JSON, XML, REST APIs, and graph databases
• Develop and optimize SQL and Python-based data processing solutions
• Load, manage, and optimize data within Databricks Unity Catalog and SQL Server Managed Instances
• Implement and maintain modern Lakehouse architecture solutions
• Implement data quality controls to ensure accuracy, consistency, and reliability
• Maintain data lineage and metadata to support governance and regulatory compliance
• Collaborate with cross-functional teams to understand data requirements and deliver effective solutions

Requirements

• Bachelor's degree in Computer Science, Information Systems, Data Science, Engineering, or a related technical field
• Minimum of 3 years of professional experience in data engineering
• Demonstrated experience designing and maintaining scalable ETL/ELT pipelines
• Strong proficiency in SQL and Python
• Experience with Databricks Unity Catalog, SQL Server Managed Instances, or comparable enterprise platforms
• Experience with streaming and batch ingestion frameworks and Lakehouse architecture
• Understanding of data quality, data lineage, and enterprise data management principles
• Ability to undergo a U.S. Government background investigation

About the Company

Ardent supports the federal government’s most critical national security and defense priorities, helping protect the nation and advance technologies that keep America secure.