Type of Requisition:
RegularClearance Level Must Currently Possess:
SecretClearance Level Must Be Able to Obtain:
SecretPublic Trust/Other Required:
NoneJob Family:
Data AnalysisJob Qualifications:
Skills:
Database Architecture, ETL Processing, Oracle Database Migration, Structured Query Language (SQL)Certifications:
NoneExperience:
5 + years of related experienceUS Citizenship Required:
YesJob Description:
Data Engineer – NAVSUP OIS - Remote
Overview/ Job Responsibilities
GDIT is looking for a Data Engineer for the Naval Supply Systems Command (NAVSUP) Ordnance Information System (OIS) to provide 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.
This position is remote, but it is preferred to fill this position in Mechanicsburg, PA or Yorktown, VA. If filled in different location, approximately 10% Travel will be required - Client meetings at least 2 times a year in Mechanicsburg, PA or Yorktown, VA.
Primary Responsibilities:
The Data Engineer will be responsible for the following:
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.
Qualifications:
Must have DOD Secret level clearance to start; U.S. Citizen required only for Federal Clearance Requirement
Must be able to pass a T5 background investigation after start
Certification Requirements: Directive 8570.1/8140 - IAT II:
Baseline Certification: Security+ to start
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)
BA/BS or equivalent experience and 5+ years of prior relevant experience or master’s with 3+ years or prior relevant experience.
Familiarity with data warehousing concepts, ETL (Extract, Transform, Load) processes, and tools.
Experience with developing and administrating in PostreSQL
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
Understanding of data modeling, schema design, and database optimization.
Knowledge of data security and compliance best practices.
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
Preferred Qualifications:
Fully adjudicated T5 background check / Top Secret eligible highly preferred
Experience with GitLab, Liquibase, CI/CD pipelines highly preferred
Experience with big data technologies such as Apache Hadoop, Spark, Kafka, Debezium, RabbitMQ, etc.
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.
Demonstrated experience in network and cyber security design, engineering and operations with emphasis on Navy capabilities
Navy experience
GDIT IS YOUR PLACE:
● 401K with company match
● Comprehensive health and wellness packages
● Internal mobility team dedicated to helping you own your career
● Professional growth opportunities including paid education and certifications
● Cutting-edge technology you can learn from
● Rest and recharge with paid vacation and holidays
Scheduled Weekly Hours:
40Travel Required:
Less than 10%Telecommuting Options:
RemoteWork Location:
Any Location / RemoteAdditional Work Locations: