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:
None Experience:
10 + years of related experience US Citizenship Required:
Yes
Job Description:
Transform technology into opportunity as a Data Engineer at GDIT. Shape 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.
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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.
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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.
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Develop and maintain scalable data pipelines and build out new API integrations, ensure that data pipelines are scalable, repeatable, and secure.
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Implement and manage databases and data delivery systems and transform them into insights, analysis, and reporting.
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Identify, research, design, develop, and promote solutions that enhance the modern development environment to ensure systems meet business requirements and industry best practices.
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Implement the data extraction, data load, and database synchronization routines and functions ETL.
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Implement data governance and quality controls and monitor ETL/ELT jobs to ensure performance and halt any potential issues.
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Improve system performance by conducting tests, troubleshooting, and integrating new elements and ensure all data platform solutions adhere to confidentiality and privacy requirements.
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Collaborate with data scientists, architects, and other stakeholders to ensure that the data infrastructure supports required functions and performance metrics.
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Design, model, document, and guide the logical and conceptual relationship of data and database changes.
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Document data architecture and systems for both technical teams and non-technical stakeholders.
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Perform technical planning, system integration, verification and validation, cost and risk assessments.
WHAT YOU’LL NEED TO SUCCEED
Bring your engineering expertise along with a drive for innovation to GDIT. Our Data Engineer must have:
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Security Clearance Level: Active Secret clearance required.
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Experience: 10+ years of prior Data engineering experience
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Experience with implementing data warehousing concepts, ETL (Extract, Transform, Load) processes, and tools (e.g., Pentaho)
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Experience with developing and administrating in PostreSQL
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Strong proficiency in SQL and experience with other querying languages.
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Experience in decomposition of Oracle PL/SQL stored procedures and triggers to migrate to Amazon Aurora DB, Postgres, or MySQL
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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.
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Knowledge of data security and compliance best practices.
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Experience with GitLab, Liquibase, CI/CD pipelines highly preferred
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Experience with big data technologies such as Apache Hadoop, Spark, Kafka, Debezium, RabbitMQ, etc.
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Demonstrated experience in network and cyber security design, engineering and operations with emphasis on