Data Engineer, Mid

Location: Washington, DC
Education and Experience Required:
A master's degree in Computer Science, Mathematics, Information Technology or Engineering. A master's degree may be replaced with a bachelor's degree and ten (10) years of Computer Science experience.

Clearance Required:
Must be a U.S. Citizen and possess a current and active TS/SCI with a CI poly granted by the Department of Defense or the Intelligence Community

Job Location:
Washington DC- Joint Base Anacostia Bolling (JBAB)

Background:
A Federal Services information technology (IT) customer requires support of the enterprise IT environment creating and implementation of an enterprise-wide data strategy life-cycle and data model. Under this contract, Assured Consulting Solutions provides direct assistance to the customer in IT services ranging from enterprise architecture to systems integration with a focus on consultant level IT support. The customer’s IT and Chief Data Officer (CDO) organization requires assistance in data management and exploitation with the goal of delivering the right data, at the right time, in a secure and reliable manner.

Assured Consulting Solutions is seeking a highly-motivated Data Engineer in support of the CDO's Data Management and Librarian Program. The candidate is expected to:
  • Perform Data Engineering to include data transformation (XSLTs, ETL, etc.) and data ingest
  • Perform investigations to document as-is data flow in existing systems
  • Provide software coding in languages such as Python, Groovy
  • Support the Government in creating and delivering:
    • Data Source Analysis. To include, an assessment of the accessibility of the data source; the value or quality of the data provided; and, the level of effort required to bring the data into compliance with the goal data model
    • Data Model. A data model conveying the scope of data required for CDO vision. The data model will also contain a mapping of data source to data model and an assessment of where gaps may exist
    • Data Life-Cycle Strategy. A notional architecture will be provided that identifies how a Data Life-Cycle would be constructed to meet the needs for aggregating disparate data sources, from both known and future data sources and a broad timeline for the development and approval of supporting life-cycle artifacts
 
Job Requirements:
  • Possess experience using Apache NiFi or other data flow tools
  • Possess an understanding and at least two (2) years of direct experience working in the IC

Preferred Qualifications:
  • Experience using Collibra Data Governance Center, or similar tools, highly desired
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