Data Engineer and Data Scientist

Booz Allen Hamilton • Arlington, VA

2h

About The Position

At Booz Allen, the Data Engineer and Data Scientist will help clients organize data from disparate sources and develop advanced technology solutions for mission-driven projects, including work involving fraud detection, cancer research, and national intelligence. The role develops and deploys data pipelines and platforms that make disparate data meaningful.

The employee works with analysts, data engineers, developers, and data consumers in a fast-paced, agile environment. The position supports the assessment, design, development, and maintenance of scalable platforms, while contributing to data engineering activities and helping clients use data to inform important missions.

Requirements

• At least 2 years of experience using programming languages including Python, SQL, and R.
• At least 2 years of experience developing and maintaining scalable data stores that supply big data for business analysis.
• Experience developing scalable ETL or ELT workflows for reporting and analytics.
• Experience with Databricks.
• Ability to manage and organize large structured, semi-structured, and unstructured datasets while ensuring data quality, security, and governance.
• Ability to develop and manage data pipelines for enterprise-level analytics, reporting, and machine learning projects.
• Ability to develop scripts and programs that convert different types of data into usable formats, and support scaling, monitoring, and operation of data platforms.
• Secret clearance is required.
• Bachelor's degree.

Nice To Haves

• Experience with the War Data Platform.
• Experience with distributed data or computing tools such as Spark, Databricks, Hadoop, Hive, AWS EMR, or Kafka.
• Experience working on real-time data and streaming applications.
• Experience with Agile engineering practices.
• Ability to explore and contribute to data modeling, feature engineering, and other preprocessing work required for advanced analytics.
• Ability to support exploratory data analysis on large datasets to uncover trends, patterns, and actionable insights.
• TS/SCI clearance.

Responsibilities

• Build advanced technology solutions and implement data engineering activities for mission-driven projects.
• Develop and deploy pipelines and platforms that organize disparate data and make it meaningful.
• Support the assessment, design, development, and maintenance of scalable client platforms.
• Develop and maintain scalable data stores that provide big data in forms needed for business analysis.
• Develop scalable ETL or ELT workflows for reporting and analytics.
• Manage and organize structured, semi-structured, and unstructured datasets while ensuring data quality, security, and governance.
• Develop and manage data pipelines for enterprise-level analytics, reporting, and machine learning projects.
• Develop scripts and programs to convert different types of data into usable formats.
• Support the project team in scaling, monitoring, and operating data platforms.

Benefits

• Health, life, and disability benefits.
• Financial and retirement benefits.
• Paid leave.
• Professional development.
• Tuition assistance.
• Work-life programs.
• Dependent care.
• Recognition awards for exceptional performance and demonstration of company values.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level