Data Engineer – NAVSUP OIS - Remote - DOD Clearance Required
USA PA Home Office (PAHOME)
Full Time Mid-level / Intermediate Clearance required USD 119K - 161K
General Dynamics Information Technology
Delivering consulting, technology and mission services to every major agency across the U.S. government, defense and intelligence community.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 - SECRET CLEARANCE A MUST HAVE!
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 can be performed remotely; however, approximately 10% travel will be required for client and team meetings 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
Certification Requirements: Directive 8570.1/8140 - IAT II:
Baseline Certification: Security+ (must have 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)
BA/BS or equivalent experience and 5+ years of prior relevant experience, or a Master’s degree with 3+ years of prior relevant experience.
Experience with big data technologies such as Apache Hadoop, Spark, Kafka, etc.
Familiarity with data warehousing concepts, ETL (Extract, Transform, Load) processes, and tools.
Experience with Debezium, Liquibase, RedShift, 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:
Demonstrated experience in network and cyber security design, engineering and operations with emphasis on Navy capabilities
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 MicroStrategy, Erwin Data Modeler
Experience with big data technologies such as Apache Hadoop, Spark, Kafka, etc.
Experience with RabbitMQ
Experience with one or more programming languages like Python, Java, Scala, or Go.
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:
Total Rewards at GDIT:
Our benefits package for all US-based employees includes a variety of medical plan options, some with Health Savings Accounts, dental plan options, a vision plan, and a 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. To encourage work/life balance, GDIT offers employees full flex work weeks where possible and a variety of paid time off plans, including vacation, sick and personal time, holidays, paid parental, military, bereavement and jury duty leave. GDIT typically provides new employees with 15 days of paid leave per calendar year to be used for vacations, personal business, and illness and an additional 10 paid holidays per year. Paid leave and paid holidays are prorated based on the employee’s date of hire. The GDIT Paid Family Leave program provides a total of up to 160 hours of paid leave in a rolling 12 month period for eligible employees. To ensure our employees are able to protect their income, other offerings such as 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. We regularly review our Total Rewards package to ensure our offerings are competitive and reflect what our employees have told us they value most.We are GDIT. A global technology and professional services company that delivers consulting, technology and mission services to every major agency across the U.S. government, defense and intelligence community. Our 30,000 experts extract the power of technology to create immediate value and deliver solutions at the edge of innovation. We operate across 30 countries worldwide, offering leading capabilities in digital modernization, AI/ML, Cloud, Cyber and application development. Together with our clients, we strive to create a safer, smarter world by harnessing the power of deep expertise and advanced technology.We connect people with the most impactful client missions, creating an unparalleled work experience that allows them to see their impact every day. We create opportunities for our people to lead and learn simultaneously. From securing our nation’s most sensitive systems, to enabling digital transformation and cloud adoption, our people are the ones who make change real.GDIT is an Equal Opportunity/Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or veteran status, or any other protected class.Tags: APIs Architecture AWS Azure Big Data Consulting Data analysis Data governance Data pipelines Data Warehousing ELT Engineering ETL GCP Hadoop Java Kafka Machine Learning MySQL Oracle Pipelines PostgreSQL Privacy Python RabbitMQ RDBMS Redshift Research Scala Security Spark SQL
Perks/benefits: 401(k) matching Career development Competitive pay Flex hours Health care Insurance Medical leave Parental leave Startup environment
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