Note: The job is a remote job and is open to candidates in USA. General Dynamics Information Technology (GDIT) is a global technology and professional services company delivering technology solutions and mission services to the U.S. government, defense, and intelligence communities. The Data Engineer will design, build, deploy, and maintain data architectures, databases, pipelines, and integrations in the AWS GovCloud environment while supporting migration, governance, performance, security, and system integration for mission-critical systems.
Responsibilities
- 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
- 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
Skills
- Amazon Relational Database Service (RDS), Computer Science, Java (Programming Language), MySQL, PostgreSQL
- 10 + years of related experience
- Yes
- Active Secret clearance required
- 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 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 RedShift, MicroStrategy, Erwin Data Modeler, etc
- Experience with one or more programming languages like Python, Java, Scala, or Go
- Excellent verbal and written communication skills, with the ability to interact effectively with technical and non-technical stakeholders
- Must be a self-starter and have the ability to work independently with little supervision
- 8570/8140 - IAT II CompTIA Security+ CE
- Work Location: Remote
- US Citizenship Required
- Travel Required: Less than 10%
- Experience with GitLab, Liquibase, CI/CD pipelines highly preferred
- 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
Benefits
- Remote work
- AI-powered career tool that identifies career steps and learning opportunities
- An internal mobility team focused on helping you achieve your career goals
- Comprehensive benefits and wellness packages
- 401K with company match
- Paid time off
- Award-winning culture of innovation
- Military-friendly workplace
- Medical plan options, some with Health Savings Accounts
- Dental plan options
- Vision plan
- 401(k) plan offering the ability to contribute both pre-tax and post-tax dollars up to the IRS annual limits and receive a company match
- Full flex work weeks where possible
- Vacation, sick and personal time
- Paid holidays
- Paid parental leave
- Paid military leave
- Paid bereavement leave
- Paid jury duty leave
- Short- and long-term disability benefits
- Life insurance
- Accidental death and dismemberment insurance
- Personal accident insurance
- Critical illness insurance
- Business travel and accident insurance
Company Overview