Data Engineer in Washington, DC at Booz Allen Hamilton Inc.

Date Posted: 9/4/2018

Job Snapshot

Job Description

Job Number: R0036660

Data Engineer

Key Role:

Serve as a data analytics or data scientist subject matter expert in collecting, analyzing, and interpreting qualitative and quantitative data from multiple sources for the purposes of documenting results and analyzing findings to provide service improvement recommendations. Operate in a fast-paced work environment, multi-task, and thrive with truncated delivery deadlines and open-ended questions. Lead data collection and requirements gathering efforts for parsing, sorting, and analyzing data from various sources. Assist with data ingestion, data warehouse architecture, tuning, and the development of Structured Query Language (SQL) queries and perform data conversion in support of automated data ingestion and analysis. Create custom analytic and data mining algorithms to help extract knowledge and meaning from vast stores of data. Refine a data processing pipeline focused on structured, unstructured, and semi-structured data refinement. Support quick turn and rapid implementations and larger-scale and longer-duration analytic capability implementations.


Basic Qualifications:

-3+ years of experience with data analytics, parsing, sorting, and analyzing data from various sources

-Experience with complex data processing pipelines, including Extract Transform Load (ETL) and data ingestion dealing with unstructured and semi-structured data sets

-Experience with data warehouse architectures or MySQL

-Experience with troubleshooting and developing using PowerShell, MariaDB, MySQL, or Microsoft SQL Server for automating data ingestions from Microsoft Excel, SQL, CSV file, Web-service, and AWS data sources

-Experience with Scripting

-Knowledge of Linux and Windows

-Knowledge of data ingest and database architecture, including the design and composition of database tables, columns, data types, and database layouts, such as data warehouse concepts, design and data integration workflows, and NoSQL database architecture

-Ability to leverage and maintain data dictionary

-TS/SCI clearance with a polygraph

-BA or BS degree


Additional Qualifications:

-Experience with using SED, R, TERR, or Python, preferred

-Security+ Certification


Clearance:

Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information; TS/SCI clearance with polygraph is required.

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