Looking for an energetic and innovative Junior Data Engineer to assist in data mining information from multiple DoD repositories. Ideal candidates will have experience providing technical support and managing technical programs throughout the engineering life cycle of operational and/or new start technical demonstration space and ground systems. As a Junior Data Engineer, the candidate will be adept at using large data sets to find opportunities for business optimization and using models to test the effectiveness of different courses of action.
Key Responsibilities:
Execute analytical experiments methodically to help solve various problems and make a true impact across various domains and industries.
Research state-of-the-art data mining methods and innovative statistical models
Identify relevant data sources and sets to mine for client business needs, and collect large structured and unstructured datasets and variables
Process, cleanse, and verify the integrity of data used for analysis
Develop code for predictive/prescriptive models with applied machine learning and other modeling techniques
Clearly document and present methodology, assumptions, and findings to stakeholders
Required Skills and Experience:
Bachelor’s degree in Computer Science, Data Science, Data Analytics, Software Development, Information Technology, or related discipline
2-3 Years of experience in data engineering
Experience manipulating data with Python, SQL, R, VBA
Experience building data visualizations and communicating results to stakeholders
Experiences with databases, data repositories, and data management tools
Languages: Python, SQL
Expected to be able to adapt quickly to changing needs across several core areas, including data wrangling, data exploration, data analysis, and data visualization.
Must have the knowledge and communication skills to articulate trade-offs between analytic techniques, recommend a course of action to clients, and provide effective updates on project outcome uncertainty to leadership.
Developing data pipelines to support Analytics
Job Type: Full-time
Pay: $100,000.00 - $140,000.00 per year
Benefits:
401(k)
401(k) matching
Dental insurance
Employee assistance program
Flexible schedule
Flexible spending account
Health insurance
Health savings account
Life insurance
Paid time off