Senior Data Integration Engineer

Responsibilities

• Support ingestion of spreadsheet-based and structured data sources into enterprise databases and applications.
• Develop and maintain data transformation workflows, including conversion of source data into JSON representations.
• Validate, troubleshoot, and optimize data ingestion and synchronization processes.
• Support enterprise database operations to ensure data integrity, availability, and consistency.
• Assist with integration of enterprise data into workflow-based applications.
• Collaborate with software engineers, systems engineers, and stakeholders to define data mappings, validation rules, and integration requirements.
• Support reporting and downstream data consumption capabilities.
• Monitor database performance and assist with troubleshooting operational issues.
• Participate in automation and modernization initiatives across enterprise services.
• Document database structures, data flows, ingestion processes, and operational procedures.

Requirements

• Active TS/SCI with Polygraph.
• Bachelor's degree in a technical discipline and five years of experience as a Database Engineer or in a related technical role.
• Ten years of related technical experience may be substituted in lieu of a degree.
• Experience working with relational databases and SQL-based technologies.
• Experience supporting data ingestion, transformation, or ETL-style workflows.
• Experience working with structured data formats, including JSON, CSV, and Excel-based datasets.
• Experience writing scripts or automation utilities using Python, PowerShell, or similar scripting languages.
• Experience troubleshooting data validation and operational data quality issues.

Qualifications

• Ability to communicate effectively with technical and non-technical stakeholders.
• Ability to work core hours of 10:00 AM-2:00 PM, Monday through Friday.

Desired Skills

• Demonstrated ability to operate independently and take ownership of technical deliverables.
• Comfortable working in dynamic environments with evolving priorities and cross-team dependencies.
• Ability to identify technical gaps, propose solutions, and proactively drive work forward with minimal oversight.
• Strong troubleshooting and analytical skills in complex enterprise data environments.
• Ability to balance independent execution with appropriate stakeholder coordination and escalation.
• Strong organizational and communication skills.