Core One

National security and intelligence services

Data Engineer

Data EngineeringConfirmed live in the last 24 hours

Full-timeTampa, FL, USANo salary listedIn-person

About the Job

Requirements

Active Top Secret/Sensitive Compartmented Information clearance is required.
At least 10 years of distributed experience in Operations Research and System Analysis, Data Science, or Data Engineering.
At least 5 years of experience in Data Engineering.
Experience developing analytic methodologies, metrics, and decision criteria.
Experience with data warehousing, data ingestion, and data profiling.
Experience with data processing tools, particularly SQL and pandas.
Experience developing in Python or another object-oriented language.
Experience reading, extracting, transforming, staging, and loading data to create data pipelines.
Ability to explore new tools and technologies to improve extract, transform, and load platform performance.

Responsibilities

Assist the Resources and Analysis Directorate in developing and documenting detailed data requirements for application systems in a logical data model.
Develop the analysis, creation, acquisition, maintenance, and use characteristics of identified data, ensuring compliance with data management policies, guidance, and standards.
Evaluate data reuse, data integration, and data compliance, and develop strategies based on stewardship and authorities.
Develop physical schemas that address functional and technical database requirements, including data sharing as appropriate.
Develop, construct, test, and maintain data architectures.
Develop information displays, decision briefings, and analytical papers, and facilitate senior leader discussions.

Desired Qualifications

Experience with joint planning and military service.
Experience with the United States Central Command Area of Responsibility.
Experience with forecasting models.
Experience with cloud environments such as Azure or AWS.
Experience with Advana or Maven platforms.
Experience developing and deploying data unit testing or data quality assessment tools.
Experience preparing and presenting senior leadership briefings and papers.
Master of Arts or Master of Science degree in Operations Research, Data Science, Data Engineering, or Applied Mathematics.
Excellent oral and written communication skills.

Join our team at Core One! Our mission is to be at the forefront of devising analytical, operational and technical solutions to our Nation's most complex national security challenges. In order to achieve our mission, Core One values people first! We are committed to recruiting, nurturing, and retaining top talent! We offer a competitive total compensation package that sets us apart from our competition. Core One is a team-oriented, dynamic, and growing company that values exceptional performance!

*This position requires an Active TS/SCI Clearance*

Responsibilities:

Assist the Resources and Analysis Directorate in the development and documentation of detailed data requirements for application systems in a logical data model.
Develop the analysis, creation, acquisition, maintenance, and use characteristics of the data identified. Ensure compliance with data management policies, guidance, and standards.
Evaluate data reuse, data integration, and data compliance and develop strategies based on stewardship and authorities.
Develop physical schemas that address functional and technical requirements for the database including data sharing as appropriate.
Develop, construct, test, and maintain data architectures.
Develop information displays, decision briefings, analytical papers, and facilitate senior leader discussions.

Qualifications:

Active TS/SCI Clearance
10 years of distributed experience with Operations Research and System Analysis (ORSA), Data Science, or Data Engineering
5 years of experience in Data Engineering
Experience and proficiency in developing analytic methodologies, metrics, and decision criteria
Experience with data warehousing, data ingestion, and data profiling
Experience with data processing tools, in particular SQL and pandas
Experience in development within Python or other object-oriented languages
Experience in read, extract, transform, stage, and load data to create data pipelines
Ability to explore new tools and technologies that will help to improve ETL platform performance

Desired Qualifications:

Experience with Joint planning and military service a plus
Experience with the United States Central Command Area of Responsibility a plus
Experience with forecasting models a plus
Experience with cloud environments (Azure, AWS, etc.) a plus
Experience in Advana or Maven platforms a plus
Experience in developing and deploying data unit testing/data quality assessment tools a plus
Experience with preparing and presenting senior leadership briefings and papers a plus
Excellent oral and written communication skills a plus
M.A. or M.S. degree in OR, Data Science, Data Engineering, or Applied Mathematics preferred

Security Clearance:

TS/SCI

Core One is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender identity, sexual orientation, national origin, or protected veteran status and will not be discriminated against on the basis of disability.

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About the Company

Core One

National security and intelligence services

Core One provides intelligence, security and mission-support services to United States government customers. Its capabilities include intelligence analysis, operations support, training, language services, technology and other specialized work for defense and national security environments. The company assembles cleared professionals and program teams around agency requirements, often operating alongside government personnel. Core One is best understood as a federal contractor supporting sensitive missions rather than a consumer technology company or a similarly named commercial business. Its workforce combines specialist delivery, customer support and business operations.

Company size: Not listed
Company stage: Not listed
Total funding: Not listed
Headquarters: Not listed
Founded: Not listed

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