Data Engineer

Data Engineer

Ever‑expanding technology like IoT, machine learning, and artificial intelligence means that there’s more structured and unstructured data available today than ever before. As a data engineer, you will help our clients find answers in their data to impact important missions—from fraud detection to cancer research to national intelligence.

As a data engineer at Booz Allen, you’ll help build advanced technology solutions and implement data engineering activities on some of the most mission‑driven projects in the industry. You’ll deploy and develop pipelines and platforms that organize and make disparate data meaningful. You’ll work with and guide a multi‑disciplinary team of analysts, data engineers, developers, and data consumers in a fast‑paced, agile environment.

Using your experience in analytical exploration and data examination, you will manage the assessment, design, building, and maintenance of scalable platforms for our clients.

• 5+ years of experience in database management activities, including data validation, maintenance, and optimization
• 5+ years of experience developing and maintaining scripts and code for data processing and automation
• 3+ years of experience designing, developing, operationalizing and maintaining complex data applications at enterprise scale
• 3+ years of experience creating software or managing digital platform for retrieving, parsing and processing structured and unstructured data
• 3+ years of experience building scalable ETL and ELT workflows for reporting and analytics
• Experience creating solutions within a collaborative, cross‑functional team environment
• Ability to develop scripts and programs for converting various types of data into usable formats and support project team to scale, monitor and operate data platforms
• Secret clearance
• Bachelor’s degree

• Experience with Python, R, SQL, Scala, or Java
• Experience with UNIX or Linux, including basic commands and Shell scripting
• Experience with a public cloud, including AWS, Microsoft Azure, or Google Cloud
• Experience with Power BI, Tableau, or similar analytic and visualization tool
• Experience with distributed data or computing tools, including Spark, Databricks, Hadoop, Hive, AWS EMR, or Kafka
• Experience working on real‑time data and streaming applications
• Experience with No
  
  SQL implementation, including Mongo
  
  DB or Cassandra
• Experience with manufacturing and supply chain data analysis, including production, procurement, inventory, logistics, supplier, and operational performance data
• Experience with Agile engineering practices
• TS/SCI clearance with a polygraph

Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information;
Secret clearance is required.

The projected compensation range for this position is $77,600.00 to $ (annualized USD). This posting will close within 90 days from the posting date.

In addition to competitive salary, employees receive health, life, disability, financial, and retirement benefits, paid leave, professional development, tuition assistance, work‑life programs, and dependent care. Employees working at least 20 hours a week are eligible to participate in the full benefit package.

All qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran or any other status protected by applicable federal, state, local, or international law.

• Remote:
  If this position is listed as remote, there may still be occasions when you are required to work in person at a Booz Allen or customer facility.
• Hybrid:
  If this position is listed as hybrid, you will be expected to work from a Booz Allen facility frequently, in alignment with leadership expectations and the needs of the role. You may also be required to work from or visit a customer facility.
• Onsite:
  If this position is listed as onsite, work will primarily be performed at a Booz Allen office or customer facility, where employees will collaborate directly with colleagues and customers as required by the role.