Data Engineer, Top Secret Clearance

Responsibilities

• Transform technology into opportunity as a Data Engineer at GDIT
• Shape what’s next for mission-critical government projects
• Provide technical expertise on a mission-critical program
• Develop, modernize, enhance, operate, and maintain services for OIS mission critical systems
• Work on a team consisting of Data and Cloud Architects, Engineers, and Administrators
• 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
• Migrate data from on-premises databases to cloud-based solutions
• Develop and maintain scalable data pipelines and build out new API integrations
• Implement and manage databases and data delivery systems
• Identify, research, design, develop, and promote solutions to enhance the modern development environment
• Implement the data extraction, data load, and database synchronization routines and functions ETL
• Improve system performance by conducting tests, troubleshooting, and integrating new elements
• Collaborate with data scientists, architects, and other stakeholders to ensure that the data infrastructure supports required functions and performance metrics
• 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

• Active Top Secret clearance
• 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
• Knowledge of data security and compliance best practices
• Experience with Git Lab, Liquibase, CI/CD pipelines highly preferred
• Experience with big data technologies such as Apache Hadoop, Spark, Kafka, Debezium, RabbitMQ, etc.
• Demonstrated experience in network and cyber security design, engineering and operations with emphasis on Navy capabilities
• Prior Navy experience
• Experience with Cloud data services (e.g., AWS, Azure, GCP)
• Experience with Cloud Relational Database Services (e.g, AWS RDS, Aurora DB)
• SAFe experience and knowledge
• Experience with Data warehousing and Business Intelligence tools such as Red Shift, Micro Strategy, Erwin Data Modeler, etc.
• Experience with one or more programming languages like Python, Java, Scala, or Go
• Excellent verbal and written communication skills with technical and non-technical stakeholders
• Must be a self-starter and have the ability to work independently with little supervision.
• Certification Requirements: 8570/8140 - IAT II CompTIA Security+ CE
• Computing Environment Certification: AWS Certified Solutions Architect or AWS Certified Data Engineer or similar equivalent Cloud environment certification or Oracle Database Certified Associate or equivalent Database Certification (highly preferred to have in hand upon applying; if not, must obtain within 3 months of start)

• Data engineering
• ETL
• Data warehousing
• PostgreSQL
• SQL
• Oracle PL/SQL
• Data modeling
• Database optimization
• Big data technologies
• Cloud data services

• Excellent verbal communication
• Excellent written communication
• Self-starter
• Ability to work independently

• 8570/8140 - IAT II CompTIA Security+ CE
• AWS Certified Solutions Architect
• AWS Certified Data Engineer
• Oracle Database Certified Associate