Data Engineer

About the Role

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 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. 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.

• 5+ years of experience in application development

• 5+ years of experience designing, developing, operationalizing, and maintaining complex data applications at enterprise scale

• 3+ years of experience creating software for retrieving, parsing, and processing structured and unstructured data

• 3+ years of experience building scalable ETL / 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, SQL, Scala, RDS, Aurora, Dynamo
  
  DB, Lambda, EC2, SQS / SNS, S3, IAM, Cloud Formation, Step Functions, and Java

• Experience with UNIX / Linux, including basic commands and Shell scripting

• Experience with a public cloud, including AWS, Microsoft Azure, or Google Cloud

• 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 data warehousing using AWS Redshift, MySQL, or Snowflake

• 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.

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. 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.

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.