Data Engineer – NAVSUP OIS - Remote

Type of Requisition:

Regular

Clearance Level Must Currently Possess:

Secret

Clearance Level Must Be Able to Obtain:

Secret

Public Trust/Other Required:

None

Job Family:

Data Analysis

Job Qualifications:

Skills:

Database Architecture, ETL Processing, Oracle Database Migration, Structured Query Language (SQL)

Certifications:

None

Experience:

5 + years of related experience

US Citizenship Required:

Yes

Job Description:

Data Engineer – NAVSUP OIS - Remote

Overview/ Job Responsibilities

GDIT is looking for a Data Engineer for the Naval Supply Systems Command (NAVSUP) Ordnance Information System (OIS) to provide technical expertise on a mission-critical program whose purpose is to develop, modernize, enhance, operate, and maintain services for OIS mission critical systems.

 

As Data Engineer you will work on a team consisting of Data and Cloud Architects, Engineers, and Administrators and focus on designing, building, deploying, and maintaining data architectures and databases in the AWS GovCloud environment.

This position is remote, but it is preferred to fill this position in Mechanicsburg, PA or Yorktown, VA. If filled in different location, approximately 10% Travel will be required - Client meetings at least 2 times a year in Mechanicsburg, PA or Yorktown, VA.

Primary Responsibilities:

The Data Engineer will be responsible for the following:

• Develop, construct, test, and maintain high performance, scalable, and stable data architectures for OIS, such as databases and large-scale processing systems, and migrate data from on-premises databases to cloud-based solutions, transforming the data as required.

• Develop and maintain scalable data pipelines and build out new API integrations, ensure that data pipelines are scalable, repeatable, and secure.

• Implement and manage databases and data delivery systems and transform them into insights, analysis, and reporting.

• Identify, research, design, develop, and promote solutions that enhance the modern development environment to ensure systems meet business requirements and industry best practices.

• Implement the data extraction, data load, and database synchronization routines and functions ETL.

• Implement data governance and quality controls and monitor ETL/ELT jobs to ensure performance and halt any potential issues.

• Improve system performance by conducting tests, troubleshooting, and integrating new elements and ensure all data platform solutions adhere to confidentiality and privacy requirements.

• Collaborate with data scientists, architects, and other stakeholders to ensure that the data infrastructure supports required functions and performance metrics.

• Design, model, document, and guide the logical and conceptual relationship of data and database changes.

• Document data architecture and systems for both technical teams and non-technical stakeholders.

• Perform technical planning, system integration, verification …