Data Scientist

Booz Allen Hamilton Inc.
Washington, United States
25 days ago
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Role details

Contract type
Permanent contract
Employment type
Part-time / full-time
Experience required
1 year minimum
Compensation
$77,600.0 - $176,000.0
Working hours
Regular working hours
Job source

Tech stack

Java (Programming Language) JavaScript (Programming Language) BigQuery C++ (Programming Language) Information Engineering Data Stores Distributed Data Store Apache Hadoop Apache Hive Python (Programming Language) Apache Maven Node.Js
+20 more
Standard Sql Software Engineering TypeScript Scripting Snowflake Apache Spark Cloudformation SC Clearance Containerization Kubernetes Real Time Data Apache Kafka Data Management Terraform Devsecops Amazon Elastic Mapreduce (EMR) Docker Amazon Redshift Databricks Programming Languages

Requirements

  • 2+ years of experience utilizing programming languages, including C++, Java, JavaScript, TypeScript, or Python
  • 2+ years of experience developing and maintaining scalable data stores that supply data in forms needed for business analysis
  • Experience creating solutions within a collaborative, cross-functional team
  • Experience developing scripts and programs for converting various types of data into usable formats, and supporting the project team to scale, monitor, and operate data platforms
  • Secret clearance
  • Bachelor’s degree and 1+ years of experience with data engineering, including application or sof t war e development in a professional environment, or 3+ years of experience with data engineering, including application or sof t war e development in a professional environment, in lieu of a degree

Nice If You Have:

  • Experience in application development utilizing SQL
  • Experience with Palantir Foundry
  • Experience working with Maven Smart Systems
  • Experience working with Node.js and languages that transpile to JavaScript
  • Experience with distributed data and computing tools such as Spark, Databricks, Hadoop, Hive, AWS EMR, or Kafka
  • Experience working on real-time data and streaming applications
  • Experience with data war ehousing, including AWS Redshift, BigQuery, or Snowflake
  • Experience with advanced automation of sof t war e delivery, including Infrastructure as Code such as Terraform or AWS CloudFormation, containerization such as Docker, and orchestration such as Kubernetes or EKS, aligned to DevSecOps practices

Benefits & conditions

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 visiting the Resource page on our Careers site and reviewing Our Employee Benefits page.

Salary at Booz Allen is determined by various factors, including but not limited to location, the individual’s particular combination of education, knowledge, skills, competencies, and experience, as well as contract-specific affordability and organizational requirements. The projected compensation range for this position is $77,600.00 to $176,000.00 (annualized USD). The estimate displayed represents the typical salary range for this position and is just one component of Booz Allen’s total compensation package for employees. This posting will close within 90 days from the Posting Date.

Identity Statement

As part of the hiring process, we will ask you to complete an identity verification process that leverages advanced biometrics and artificial intelligence to ensure authenticity and protect against identity fraud. You are expected to be on camera during interviews and assessments. We reserve the right to take your picture to verify your identity and prevent fraud.

About the company

AI is a part of our daily work at Booz Allen, and we are committed to the responsible and ethical use of AI tools. However, we want to ensure a fair candidate process based on your own skills and knowledge. As part of this commitment, the use of artificial intelligence (AI) or other tools to assist with responses during interviews (whether in-person or virtual) is prohibited unless permission is explicitly provided.

Work Model Our people-first culture prioritizes the benefits of collaboration, whether it occurs in person or virtually. To support engagement and effective communication, employees working virtually are generally expected to have their cameras on during meetings.

  • 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.

Apply for this position

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