Data & Integration Engineer — ETL, SQL & Data Quality

Job Description

The Data / Integration Engineer is responsible for building the data standardization layer, ETL pipelines, and ESI Learning Service that support the CLEARSITE™ agent decision-making loop. This role ensures schema-compliant Detection Event payloads,  table population, and reliable coverage hints for downstream services and the NVIDIA Aerial Digital Twin partnership.

Key Responsibilities

• Build adapters for 10+ detection/decoder modules to emit canonical Detection Event payloads
• Implement unit normalization, calibration reconciliation, and 90-day migration backfill
• Design and maintain  Click House table with historical depth and quality gates
• Build ESI Learning Service for occupancy, diurnal rollups, drift detection, and coverage hints
• Develop Digital Twin export tools for Omniverse integration
• Implement schema drift alerting and cross-module validation harnesses
• Document all pipelines, contracts, and handoff procedures

Required Qualifications

• 3+ years in data or integration engineering
• ETL pipelines and data transformation expertise
• Schema validation and data quality monitoring
• SQL proficiency and cross-database data flows

Preferred Qualifications

• Time-series data handling, EWMA, rolling aggregation
• RF signal or sensor data pipeline experience

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Digital Global Systems is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, or protected veteran status. We are committed to providing reasonable accommodations to individuals with disabilities. If you need an accommodation during the application or interview process, please contact DGS.

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