Data Engineer and Data Scientist

Booz Allen Hamilton • Arlington, VA

1d • $62,000 - $141,000 • Hybrid

About The Position

Booz Allen is seeking a data professional to help clients use structured and unstructured data to support mission-driven work. The role builds and deploys data pipelines and platforms that organize disparate data and make it useful for analysis.

The position works with analysts, data engineers, developers, and data consumers in a fast-paced, agile environment. It supports the assessment, design, development, and maintenance of scalable data platforms, and uses analytical exploration and data examination to help deliver advanced technology solutions.

Requirements

• 2+ years of experience utilizing programming languages, including Python, SQL, and R.
• 2+ years of experience developing and maintaining scalable data stores that supply big data in forms needed for business analysis.
• Experience developing scalable ETL or ELT workflows for reporting and analytics.
• Experience with Databricks.
• Ability to manage and organize large datasets, including structured, semi-structured, and unstructured data, while ensuring data quality, security, and governance.
• Ability to develop and manage data pipelines to support enterprise-level analytics, reporting, and machine learning projects.
• Ability to develop scripts and programs for converting various types of data into usable formats, and support project teams to scale, monitor, and operate data platforms.
• Secret clearance required; applicants are subject to a security investigation and may need to meet eligibility requirements for access to classified information.
• 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 for advanced analytics.
• Ability to support exploratory data analysis on large datasets to uncover trends, patterns, and actionable insights.
• TS/SCI clearance.

Responsibilities

• Develop and deploy pipelines and platforms that organize disparate data and make it meaningful.
• Implement data engineering activities on mission-driven projects.
• Support assessment, design, development, and maintenance of scalable platforms.
• Develop and maintain scalable data stores that supply data in forms needed for business analysis.
• Develop scalable ETL or ELT workflows for reporting and analytics.
• Manage and organize large 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 project teams 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