Data Engineer (Azure) - Remote

Company: NexGen Technologies, Inc.

Location: Remote (Remote)

Salary: $95,000 - $115,000 a year

Type: Full-time

Remote: Yes

Posted: 2026-04-04

About this role

(Remote Position)

Company Information

NexGen Technologies, Inc. is a leading IT services firm specializing in delivering innovative, high-quality solutions to our federal government clients. Our core competencies include IT professional support services, software development, cloud services, IT Operations, Agile project management, and GIS services.

Job Summary

NexGen is currently seeking a Data Engineer (Azure) to be responsible for data architecture and recommendations to enhance data architecture for major National Applications used by the Federal government. The ideal candidate will possess demonstrable experience in architecting data solutions for large-scale on-site and cloud-based implementations.

Supervisory Responsibilities

  • There are no supervisory responsibilities.

Essential Duties and Responsibilities (as assigned)

  • Projects long-range requirements for database design in conjunction with other managers in the information systems function.
  • Identifies architectural risks and plans to mitigate.
  • Leads innovation by exploring, investigating, recommending, benchmarking and implementing data centric technologies for the platform.
  • Conducts quality control and auditing of databases in a client/server environment to ensure accurate and appropriate use of data. Advises users on access to various client/server databases.
  • Creates new data validation methods and data analysis tools.
  • Ensures compliance with data governance and security policies.
  • Analyzes problem incidents, debug SQL and implement fixes.
  • Performs data access analysis design, and archive/recovery design and implementation.
  • Other duties may be assigned.

Technical Skills

  • 3+ years’ experience with Data Modeling.
  • Expertise with reverse engineering existing application databases and underlying data architecture to present recommendations for optimizing the underlying data models.
  • Experience with Oracle database, including the ability to write and u...

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