Data Engineer - Modeling

Summary

Join AnaVation as a Modeling Data Engineer and contribute to the development, design, and adaptation of proprietary data formats for real-world entities. You will be responsible for creating data models that support current and future enterprise applications, interfacing with data architects and software developers. This hybrid role (mostly remote) requires an active Top-Secret clearance and the ability to obtain SCI access. The position involves working with various data formats, query languages, and software development lifecycle. You will build unit tests and collaborate effectively within a team. AnaVation offers a competitive compensation and benefits package.

Requirements

• Obtain a Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering, or related field of study
• Create and manage data models, develop ETL processes, and build data warehouses
• Have digital forensic ontology experience
• Demonstrate experience with software languages and software system development (Python, C#, and JavaScript)
• Show familiarity and experience with search query languages (SQL, NoSQL)
• Possess knowledge of common data storage formats (JSON, XML, CSV)
• Demonstrate familiarity with the software development cycle
• Have extensive experience building unit tests
• Work independently and as part of a team
• Obtain and maintain a Top-Secret clearance and the ability to obtain SCI access with a CI polygraph

Responsibilities

• Develop, design, and adapt proprietary data formats that capture real-world entities in realistic, transportable, and explanatory data models
• Develop changes to the model to support continually evolving system and information requirements
• Ensure that the data model is 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
• 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

Preferred Qualifications

• Normalize data accounting for multiple organizational and operational concerns
• Handle complex and conflicting customer requirements
• Show knowledge of data governance and data quality frameworks

Benefits

• Have generous cost sharing for medical insurance for the employee and dependents
• Receive 100% company paid dental insurance for employees and dependents
• Receive 100% company paid long-term and short-term disability insurance
• Receive 100% company paid vision insurance for employees and dependents
• Participate in a 401k plan with generous match and 100% immediate vesting
• Receive competitive pay
• Receive generous paid leave and holiday package
• Receive tuition and training reimbursement
• Receive life and AD&D insurance