Data Engineer

Your responsibilities:
• Analyze multiple data sources in detail to identify trends and patterns using engineering fundamentals.
• Interpret data, analyze results using statistical techniques and provide ongoing reports.
• Summarize and socialize data, make conclusions and provide direction on problems identified.
• Effectively generate ideas and support building tools to automate analysis processes.
• Strong communication & visualization of the data to articulate the findings. - Develop and implement data collection systems, data analytics and other strategies that optimize statistical efficiency and quality.
• Design, model, and document the logical and conceptual relationship of data and database changes for metrics and analytics.

What you need to be successful in the role:
• Comfort with requirements-analysis and stake-holder engagement.
• Strong problem-solving skills and root-cause analysis to ensure that curated data is accurate, repeatable, and explainable.
• Solid communication skills (written, verbal, and visual)
• Ability to communicate data and engineering analysis regarding conclusions that were reached.
• Ability to create and present data reports to support investigations.
• Excellent attention to detail.
• Development /programming of tools to improve pipeline efficiency, eliminate repetitive tasks, and implement new analysis tools/techniques.
• Prioritization skills to manage workload and make sound decisions for assigned team's data analysis activities.

Basic Qualifications:
• Bachelor's degree in a technical area with 8 years of relevant experience (6 years with technical MS; 3 years with a PhD in related field)
• OR Bachelor's degree in a technical area with 2 years of relevant experience (0 years with technical MS)
• Knowledge of data gathering, cleansing and transformation techniques
• Experience with common data science toolkits such as Python and Tableau
• Experience using Python packages: pandas, numpy, matplotlib
• Experience developing and presenting data visualizations for scientific analysis
• Able to obtain and maintain a Secret clearance. US Citizen is a requirement.

Preferred Qualifications:
• Product Lifecycle experience
• Proficient using query languages such as SQL
• Experience mentoring and leading peers in data science projects
• Strong applied statistics skills, such as distributions, statistical testing, regression, etc.
• JMP proficiency (SAS statistical tool) and experience scripting in JSL
• Gitlab CM and CI/CD experience
• MATLAB experience
• Linux experience