Data Engineer

M9 Solutions is seeking a Data Engineer to work remotely in support of a government contract for a client located in Washington, DC.

Responsibilities

• Develop and design data pipelines to support end-to-end solutions.
• Build systems that collect, manage, and convert raw data into usable information for multiple purposes, including, but not limited to, IT application usage, reporting, applicant processing, etc.
• Develop and design data pipelines to support an end-to-end solution.
• Develop and maintain artifacts, i.e., schemas, data dictionaries, and transforms related to ETL processes.
• Integrate data pipelines with AWS cloud services to extract meaningful insights.
• Manage production data within multiple datasets, ensuring fault tolerance and redundancy.
• Design and develop robust and functional dataflows to support raw data and expected data.
• Collaborate with the rest of the data engineering team to design and launch new features. Includes coordination and documentation of dataflows, capabilities, etc.

Required Skills and Qualifications

• Bachelor's degree.
• 4 - 8 years of relevant experience.
• Experience executing data science methods using Python libraries for Data Cleaning/Wrangling, Exploratory Data Analysis (EDA), Statistical Analysis, and Data Visualization.
• Strong proficiency in programming languages, such as Python.
• Agile development experience along with related technologies (e.g., Jira).
• Skills including:
  
  
  
  • Amazon Web Services (AWS)
  • Database Administration
  • Data Engineering
  • ETL Architecture and Development
  • End-to-End Processes
  • API Development
  • Extract, Transform, and Load (ETL)
  • Data Pipeline
  • Technical Support
  
  
  
  

Preferred Qualifications

• Database administration and development experience.
• Experience with cloud message APIs and usage of push notifications.
• Keen interest in learning and using the latest software tools, methods, and technologies to solve real-world problem sets vital to national security.