Global Resource Solutions

Data and Systems Engineer

Washington, DC, USPosted 2 days ago

Job Description

Global Resource Solutions, Inc. (GRS) is seeking an enthusiastic, motivated, detail orientated, and talented individual for the position of Data and System Engineer. This is a Remote Position.

Job Descriptio

n:

Summary

The Data and System Engineer will maintain reliable data intake, access and operating procedures for a document-analysis application serving regulatory analysts.

Essential Duties & Responsibilities

* Operate authorized data imports and exports, validate schemas and reconcile record and attachment counts. * Preserve original files, docket identifiers, metadata, versions and links between comments and analytical outputs. * Manage approved user accounts, roles and access reviews; maintain onboarding and offboarding records. * Monitor data pipelines, processing jobs, error queues, storage and application health, managing operational SLOs. * Search index construction, operation and performance optimization. * Maintain backup and disaster recovery procedures, verify restoration,document operational incidents, resolutions and postmortem procedures. * Support controlled configuration changes, release verification and data-quality checks in test and production environments. * Prepare usable, editable data exports and support closeout record transfer and retention instructions. * Maintain runbooks, inventories, operating logs and access records; protect confidential and personal information. * Support authorized FDMS and publication workflows without bypassing regulatory review or government approval Requirement:

* Three (3) years related experience * Bachelor’s Degree in a related area or equivalent experience (Four (4) years) Skills:

  • Hands-on experience administering cloud-hosted applications and data-intensive systems, including SQL or comparable querying, structured file formats, ETL pipelines, access management and operational troubleshooting.
  • Ability to diagnose incomplete imports, identify schema changes

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