Data Layer Engineer

PRESCIENT EDGE CORPORATION

  • Doral, FL
  • 30+ days ago

    Highlights

    Description: Design and manage a modular data layer architecture that supports scalable ingestion, transformation, and serving of geospatial and structured data across containerized environments. Develop and optimize ETL pipelines for real-time and batch processing of mission-relevant data, ensuring integration with both ESRI and third-party analytic services.

    Numbers & Facts

    LocationDoral, FL

    Description

    Prescient Edge is seeking a Data Layer Engineer to support a Federal Government client.

    Please note that the availability of this position is contingent upon contract award.

    Benefits:

    At Prescient Edge, we believe that acting with integrity and serving our employees is the key to everyone's success. To that end, we provide employees with a best-in-class benefits package that includes:

    • A competitive salary with performance bonus opportunities.
    • Comprehensive healthcare benefits, including medical, vision, dental, and orthodontia coverage.
    • A substantial retirement plan with no vesting schedule.
    • Career development opportunities, including on-the-job training, tuition reimbursement, and networking.
    • A positive work environment where employees are respected, supported, and engaged.

    Description:

    • Design and manage a modular data layer architecture that supports scalable ingestion, transformation, and serving of geospatial and structured data across containerized environments.
    • Develop and optimize ETL pipelines for real-time and batch processing of mission-relevant data, ensuring integration with both ESRI and third-party analytic services.
    • Implement metadata management solutions-such as tagging, schema validation, and indexing-to improve lineage tracking and facilitate governance alignment with IL4/IL5 controls.
    • Manage data access enforcement mechanisms, including RBAC policies and encryption controls, consistent with NIST 800-53 Rev. 5, FedRAMP, and DoD cybersecurity mandates.
    • Shall submit the Data Layer Integration & Optimization Report, detailing Kubernetes performance benchmarks related to data lake interaction, data lifecycle strategies for containerized environments, and cloud resource optimization recommendations.

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