Data Engineer | Active Top Secret clearance

General Dynamics Information Technology•Yorktown, VA

1d•$129,813 - $149,500•Onsite

About The Position

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. 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.

Requirements

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, with the ability to design, implement, and optimize complex data structures in production environments.
Knowledge of data security and compliance best practices.
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.
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)
US Citizenship Required

Nice To Haves

Experience with GitLab, 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 RedShift, MicroStrategy, Erwin Data Modeler, etc.

Responsibilities

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.

Benefits

Comprehensive benefits and wellness packages
401K with company match
Competitive pay
Paid time off
Variety of medical plan options, some with Health Savings Accounts
Dental plan options
Vision plan
401(k) plan offering the ability to contribute both pre and post-tax dollars up to the IRS annual limits and receive a company match.
Full flex work weeks where possible
Variety of paid time off plans, including vacation, sick and personal time, holidays, paid parental, military, bereavement and jury duty leave.
Short and long-term disability benefits
Life, accidental death and dismemberment, personal accident, critical illness and business travel and accident insurance are provided or available.