Data Engineer

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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 know that organizing data can yield pivotal insights when it’s gathered from disparate sources. We need an experienced data engineer like you to 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.

Here, you’ll work with and guide a multi-disciplinary team of analysts, data engineers, developers, and data consumers in a fast-paced, agile environment. You’ll use your experience in analytical exploration and data examination while you manage the assessment, design, building, and maintenance of scalable platforms for your clients.

Work with us to use data for good.

Join us. The world can’t wait.

• 3+ years of experience in a data engineering or analytics engineering role in a professional work environment
• 2+ years of experience with developing and maintaining scalable data stores that supply big data in forms needed for business analysis
• Experience with SQL and a general-purpose programming language, such as Python, Java, Type Script, or C++
• Experience with creating programs for retrieving, parsing, and processing structured and unstructured data
• Experience working with digital engagement metric tools, such as Google Analytics
• Experience with developing scalable ETL and ELT workflows for reporting and analytics
• Experience in 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 a public cloud, including AWS, Microsoft Azure, or Google Cloud
• Experience with distributed data and computing tools such as Spark, Databricks, Hadoop, Hive, AWS EMR, or Kafka
• Experience with natural language processing (NLP) or techniques for extracting insights from text and documents
• Experience with working on real-time data and streaming applications, and with No
  
  SQL implementation using Mongo
  
  DB or Cassandra
• Experience with data warehousing, including AWS Redshift, MySQL, or Snowflake
• Experience with UNIX and Linux, including basic commands and Shell scripting
• Experience with Agile engineering practices
• TS / SCI clearance
• Bachelor’s degree in Computer Science, Mathematics, Software Engineering, or Data Science preferred

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.

At Booz Allen, we celebrate your contributions, provide you with opportunities and choices, and support your total well-being. Our offerings include health, life, disability, financial, and retirement benefits, as well as paid leave, professional development, tuition assistance, work-life programs, and dependent care. Our recognition awards program acknowledges employees for exceptional performance and superior demonstration of our values. Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible to participate in Booz Allen’s benefit programs.

Individuals that do not meet the threshold are only eligible for select offerings, not inclusive of health benefits. We encourage you to learn more about our total benefits by…