Data Engineer | Active Secret clearance

Type of

Requisition :
Regular Clearance Level Must Currently Possess:
Secret Clearance Level Must Be Able to Obtain:
Top Secret Public Trust/Other

Required:

None Job Family:
Data Science and Data Engineering

Job Qualifications:

Skills:

Amazon Relational Database Service (RDS), Computer Science, Java (Programming Language), MySQL, PostgreSQL

Certifications:

AWS Certified Solutions Architect
- Associate | Amazon Web Services (AWS) - Amazon Web Services (AWS), CompTIA Security+ CE | CompTIA
- CompTIA

Experience:

10 + years of related experience US Citizenship

Required:

Yes

Job Description:

Transform technology into opportunity as a Data Engineer pe what’s next for mission-critical government projects while shaping what’s next for your engineering career. MEANINGFUL WORK AND PERSONAL IMPACT As a Data Engineer, the work you’ll do at GDIT will be impactful by providing 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 Gov Cloud environment. 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 and validation, cost and risk assessments.

Bring your engineering expertise along with a drive for innovation to GDIT. Our Data Engineer must have:
Security Clearance Level: Active Secret clearance required.

Experience:

10+ years of prior Data engineering experience

Experience with implementing data warehousing concepts, ETL (Extract, Transform, Load) processes, and tools (e.g., Pentaho)

Experience with developing and administrating in PostreSQL Strong proficiency in SQL and experience with other querying languages. Experience in decomposition of Oracle PL/SQL stored procedures and triggers to migrate to Amazon Aurora DB, Postgres, or MySQL Proven, hands‑on expertise in data modeling, schema design, and database optimization, with the ability to design, implement, and optimize complex data structures in production environments.

Knowledge of data security and compliance best practices.

Experience with Git…