Data Scientist (TS/SCI + Poly) with Security Clearance

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Job description

Description The DarkStar Group is seeking a Data Scientist with a TS/SCI + Poly clearance (applicable to this customer) to join one of our top projects in McLean, VA. Below is an overview of the project, as well as information on our company, our benefits, and our $25,000 referral program. THE PROGRAM The DarkStar Group is a member of 100% of the winning teams for the largest technology program in the Intel Community. We've been supporting this customer on many different sub-projects of this program since our founding in 2013. We've grown on this effort by providing the customer with Engineers who have done exceptional work, and we've retained our staff by paying very strong salaries, and working hard to ensure each Engineer is doing work that aligns with their career interest. THE PROJECT The Sponsor has multiple application teams supporting a portfolio which is the central repository for all Sponsor's created applications. The Sponsor provides state of the art systems on cloud, physical systems and applications based on products such as AWS, Oracle, SharePoint, and other web-based solutions. The Sponsor requires support specializing in data architecture to develop data solutions to ensure the Sponsor's information is stored effectively and securely, system requirements are analyzed, and implement migration methods for existing data. The portfolio contains but is not a complete list of the following: A custom production application that has a central repository for the search and discovery of internal document sensitive data and associated artifacts. A custom production application which provides workflow and research with the ability to review, disposition, build a profile and update or nominate candidates to other Partner organizations. A targeting and knowledge management tool which stores products in a centralized repository making it easy for search and discovery. The Data Scientist shall develop data and metadata policies and procedures for structural design and development to build, maintain and leverage the data model, ensuring integration with corporate data standards The Data Scientist shall monitor industry trends and directions in database technology and tools. The Data Scientist shall develop and present substantive technical recommendations to the Sponsor. The Data Scientist shall oversee the design, evaluation, selection, implementation and support of major databases and metadata structures. The Data Scientist shall review and evaluate database performance and risk and financial analysis feasibility studies. The Data Scientist shall oversee the strategic structural design and development of databases and metadata. The Data Scientist shall provide technical direction to the maintenance of major existing databases supporting evolving applications and business processes. The Data Scientist shall provide comprehensive assessments of the technical characteristics of proposals and alternatives considered to optimize database performance. The Data Scientist shall provide extensive technical, strategic advice and guidance in the creation and implementation of new data standards and databases. The Data Scientist shall provide technical oversight and direction to designated boards for integrating new technology or major new mission capabilities into the metadata and data standards and structures. The Data Scientist shall review and assess technical proposals requesting changes or upgrades to the existing databases. The Data Scientist shall serve as the lead technical resource in the strategic oversight and planning of data models and database structural design and development. The Data Scientist shall strategically plan new designs for integration into a database structure, using knowledge of the characteristics of the systems being added to the structure and the specifications for database interfaces to ensure effective integration and optimal database performance. The Data Scientist tor shall develop methods of ensuring data incompatibilities among systems are systematically eliminated The Data Scientist shall diagnose, isolate and expediently resolve complex problems pertaining to data infrastructure. THE ROLE The Sponsor seeks a data engineer with strong skills in PL/SQL, Java, AWS, BASH, Linux, and Oracle familiarity. Required Skills Demonstrated experience in data architecture.
Demonstrated experience with and understanding of database structure principles
Demonstrated experience in data modeling and design, including SQL development and database administration.
Demonstrated experience in data visualization, data migration and data modeling.
Demonstrated experience in relational database management systems (DBMS).
Demonstrated experience in DBMS software, including SQL Server.
Demonstrated experience in database and cloud computing design, architectures and data lakes.
Demonstrated experience in configuration and administration of enterprise level data stores, ETL and ELT methods, and batch and streaming data transport. Demonstrated experience gathering and analyzing system requirements.
Demonstrated experience with Version control systems such as Git. Demonstrated experience with programming languages Java and Python.
Demonstrated experience with Linux, Unix, Solaris and Windows. Demonstrated experience with Agile development methodologies and JIRA.
Demonstrated experience working in a fast-paced, technically challenging area; ability to anticipate and manage changes or problems; assess impacts and recommend sound solutions.
Demonstrated experience in systems development, including system development life cycle, project management approaches and requirements, and design and testing techniques.
Desired Skills (Optional) Demonstrated experience with Sponsor networks, systems and services. Demonstrated experience delivering solutions with AWS cloud services. Demonstrated experience with AWS Cloud storage technologies including RDS, DynamoDB and S3.
Demonstrated experience in database technologies to include but not limited to Oracle, SQLServer, and Postgres.
Demonstrated experience with Oracle Databases
Demonstrated experience with Full stack environment
Demonstrated experience building automation tools such as Gradle, Maven.
Demonstrated experience with the development of system prototypes and proof of concept in order to demonstrate proper application of design principles Demonstrated experience with the Sponsor's authentication and authorization process.
Demonstrated experience with supporting enterprise level production systems
Demonstrated experience briefing technical topics to a non-technical audience.
Demonstrated experience in strong oral and written communication.
AWS Certification or other relevant certifications About The DarkStar Group Our Company The DarkStar Group is a small business that solves BIG problems. We're one of the Inc. 5000 fastest-growing private companies in the US, and our engineers and scientists support the most critical national security missions in Virginia, Maryland, and elsewhere. Data Science, Software Engineering, Cloud/AWS Infrastructure, and Cyber/CNO are our core areas of expertise. We offer interesting and important work, job security, some of the best and most flexible benefits you'll find in the IC, and salaries so strong that they'll likely surprise you. Our Benefits The DarkStar Group offers exceptional compensation and benefits: very strong salaries;
100% company-paid medical, dental, and vision premiums for you and all dependents;
the ability to get increased salary if you don't need medical/dental/vision;
100% company-paid disability and life insurance benefits;
a generously-funded HSA;
an 8% 401(k) contribution; 31 days of PTO/holidays to start (more with tenure);
the ability to flex time across pay periods without using your PTO;
a generous training budget;
$25,000 employee referral bonuses;
business development / growth incentives; and
top notch company swag.
We have a huge growth opportunity, so we are offering up to a $25,000 reward for anyone new you refer whom we hire. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.

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