Senior Data Integration Engineer
SI-Tec Consulting LLC Laurel
Senior Data Integration Engineer
Location: Annapolis Junction, MDSchedule: Full-Time, On-Site
Clearance Required: 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.
- 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.
- 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.
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