Data Engineer

About the Role

Key Responsibilities

• Assist in the development and documentation of detailed data requirements for application systems in a logical data model.
• Develop analysis, creation, acquisition, maintenance, and use characteristics of data.
• Build dashboards, reports, and interactive data visualizations to monitor performance, budgets, expenditures, and forecasts.
• Ensure compliance with data management policies, guidance, and standards.
• Evaluate data reuse, data integration, and data compliance and develop strategies based on stewardship and authorities.
• Develop physical schemas addressing functional and technical requirements for databases, including data sharing.
• Develop, construct, test, and maintain data architectures.
• Develop information displays, decision briefings, analytical papers, and facilitate senior leader discussions.
• Work with and guide a multi-disciplinary team of analysts, data engineers, developers, and data consumers.
• Manage the assessment, design, building, and maintenance of scalable data platforms for clients.

Requirements

• 10+ years of distributed experience with Operations Research and System Analysis (ORSA), Data Science, or Data Engineering.
• 5+ years of experience in Data Engineering.
• Experience in developing analytic methodologies, metrics, and decision criteria.
• Experience with data warehousing, data ingestion, and data profiling.
• Experience with data processing tools, in particular SQL and pandas.
• Experience in development within Python or object-oriented languages.
• Experience with read, extract, transform, stage, and load data to create data pipelines.
• Ability to explore new tools and technologies that will help to improve ETL platform performance.
• TS/SCI security clearance.
• Master's degree in Data Science, Data Engineering, or Applied Mathematics.

Nice to Have

• Experience with Joint planning and military service.
• Experience with forecasting models.
• Experience with cloud environments, such as Azure and AWS.
• Experience working with Power BI, Power Query, Advana, Qlik, VBA, Excel, or Defense Enterprise Accounting and Management System (DEAMS).
• Experience in Advana or Maven platforms.
• Experience in developing and deploying data unit testing/data quality assessment tools.
• Experience with preparing and presenting senior leadership briefings and papers.
• Possession of excellent oral and written communication skills.

Qualifications

• Master's degree in Data Science, Data Engineering, or Applied Mathematics.

Benefits & Perks

• Health, life, disability, financial, and retirement benefits.
• Paid leave, professional development, tuition assistance, work-life programs, and dependent care.
• Recognition awards for exceptional performance.
• Full-time and part-time employees working at least 20 hours a week are eligible for benefit programs.