Who We’re Looking For (Position Overview):

Spry is searching for a Senior Data Engineer whom will collaborate with customers, often engaging directly with non-technical personnel, to understand their data related needs, suggest solutions, and complete work in a timely manner. This position performs activities associated with implementation, integration, and support of computer systems in mission-critical response operations environment.

What Your Day-To-Day Looks Like (Position Responsibilities):

• Develop, implement, and utilizes data systems and other strategies that optimize statistical efficiency and data quality.
• Analyzes, identifies, and assesses data attributes using statistical software packages; develops recommendations and processes to improve operational performance ensuring adherence to Bureau policies and procedures. 
• Performs statistical analysis and research in support of investigative projects.
• Prepares reports, materials and documentation associated with information gathering. 
• Interprets and analyzes data collected from a variety of sources using exploratory and statistical techniques. Constructs tailored data visualizations to assist the novice in understanding the analytic results. 
• Uses advanced/complex mathematical methodologies/algorithms to develop new innovations in the use of data analysis techniques, as well as to analyze and interpret trends or patterns in complex data sets.

• Active Top Secret Clearance
• Bachelors degree in Computer Science or related field is required
• Minimum 10 years of experience
• Experience with AI, statistical analysis, data modeling and visualization.
• Ability to take bulk data, organize it and run queries.
• Technical expertise regarding data analysis and manipulation, data cleansing, and segmentation techniques.
• Professional competence in scientific methods of analysis to perform inquiry into exceptionally difficult or unprecedented problems.
• Professional skill in the development of research designs and methodologies, including statistical sampling and analytic methods, to provide sound plans for coordinating or conducting studies and to effectively complete analytic projects.
• Professional skill in modeling of real-world problems and in applying probability theory and statistical analysis to models and research data.
• Comprehensive knowledge of general mathematics, to develop research models and to design and carry out statistical analyses.
• Knowledge of and skill in the configuration and use of computer equipment for scientific research, including technical skill in the use of data analysis software, data base software, spreadsheet software, statistical software, graphics, and other software.
• Skill in computer programming to efficiently develop models, collect data, and analyze data using computers.
• Skill in data acquisition, processing, and measurement to collect research data effectively and according to accepted scientific methods. 
• Skill in oral communications to provide effective presentations and instruction concerning the research.
• Exceptional writing skills to produce reports/documents reflective of the findings/results of the analysis.

• Databases: Elasticsearch familiarity desired. Any Relational Database (MySQL, SQLite, Postgres, etc.)
• Python for handling data, fluent with SQL, and Stored ProceduresETL (Extract, Transform, and Load)
• Graph database (such as Neo4j) preferred.

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