A Data Engineer designs, builds and manages the information or big data infrastructure. Develops the architecture that helps analyze and process data in the way the organization needs it. Makes sure those systems are performing smoothly.
TS/SCI with Polygraph SITEC Consulting is seeking a Senior Data Integration Engineer to support enterprise data modernization, integration, and automation efforts in a secure mission environment. This role will focus on ingesting, transforming, validating, and managing operational data that supports critical enterprise workflows and business applications. The ideal candidate will bring a strong mix of database engineering, data integration, scripting, and automation experience. This position is well-suited for a proactive engineer who can operate independently, take ownership of technical deliverables, identify risks or gaps, and collaborate across engineering and stakeholder teams. 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. Required Qualifications 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. 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.
