Why This Role Stands Out
Leverage your expertise in data modeling and ETL to design and adapt proprietary data formats, contributing to cutting-edge work programs with significant growth potential. If you thrive on complex challenges, enjoy collaborative environments, and possess a Top-Secret clearance, this hybrid role offers an exciting opportunity to make a real impact. Apply today to join a dynamic team and advance your career!
Quick Overview
Job Description
OVERVIEW: We are seeking an experienced Modeling Data Engineer to join an exciting work program. The successful candidate will be responsible for the development, design, and adaptation of proprietary data formats that capture real world entities in realistic, transportable, and explanatory data models. Additional responsibilities include developing changes to the model to support continually evolving system and information requirements.
These models must be able to support current and future enterprise applications system design, by capturing and communicating with all relevant systems the changes to the data model at consistent, and regular intervals consistent with the software development life cycle of the enterprise applications. The candidate will also be required to interface directly with data architects and software developers to ensure that the data model is able to capture the use cases that the software systems are responsible for.
REQUIRED QUALIFICATIONS
- Bachelor's or Master's degree in Computer Science, Data Science, Engineering, or related field of study
- Experience creating and managing data models, ETL development and data warehousing
- Software languages and software system development experience (Python and JavaScript)
- Familiarity and experience with search query languages (SQL, No-SQL)
- Knowledge of common data storage formats (JSON, XML, CSV)
- Familiarity with the software development cycle
- Extensive experience building unit tests
- Ability to work independently and as part of a team
- Digital forensic domain background.
- Normalizing data accounting for multiple organizational and operational concerns.
- Experience working with an ontologist.
- Experience handling complex and conflicting customer requirements.
- Knowledge of data governance and data quality frameworks.
CLEARANCE
- Top-Secret clearance and the ability to obtain SCI access with a CI polygraph.
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