Data Scientist, Mid

Data Scientist, Mid

The Opportunity:

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 big data can yield pivotal insights when it’s gathered from disparate sources. We need a data professional like you to help our clients find answers in their big data to impact important missions—from fraud detection to cancer research to national intelligence. 

As a big data engineer at Booz Allen, you’ll use your skills and experience to implement data engineering activities on some of the most mission-driven projects in the industry. You’ll develop and deploy the pipelines and platforms that organize and make disparate data meaningful. Here, you’ll work with a multi-disciplinary team of analysts, data engineers, developers, and data consumers in a fast-paced, Agile environment. You’ll sharpen your skills in analytical exploration and data examination while you support the assessment, design, developing, and maintenance of scalable platforms for your clients. Work with us to use big data for good.

Join us. The world can’t wait.

You Have:  

• 1+ years of experience with writing software in programming languages, including Python

• 1+ years of experience with source control and collaboration software, including Git or Atlassian tools

• 1+ years of experience with extract, transform, and load (ETL) operations, including on-premise or Cloud infrastructure

• Experience with automating and scripting data engineering tasks, including data cleansing, formatting, or normalizing

• Knowledge of relational and non-relational database technologies, including SQL or GraphQL

• Knowledge of automation and scripting on Linux or Windows

• Secret Clearance

• Bachelor’s degree

Nice If You Have:  

• Experience with deploying analytics workloads on Platform as a Service (PaaS) and Software as a Service (SaaS), including AWS EMR, Redshift, or SageMaker or Azure Databricks, SQL Data Warehouse, or Machine Learning service

• Experience in working with Data Visualization Programs, including Tableau, Qlik, or Microsoft BI

• Experience with Microsoft Analytical tools, including Excel, Access, or SQL Server

• Experience with developing and presenting complex technical information for technical and non-technical audiences and senior leaders

• Experience with developing and deploying large-scale batch and stream analytics pipelines

• Experience in working with integrated groups composed of customer success managers, infrastructure engineers, data scientists, and software engineers

• Experience with Agile engineering practices 

• Experience with DoD information systems

• Top Secret clearance

Clearance: 

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.

Create Your Career: 

Grow With Us 

Your growth matters to us—that’s why we offer a variety of ways for you to develop your career. With professional and leadership development opportunities like upskilling programs, tuition reimbursement, mentoring, and firm-sponsored networking, you can chart a unique and fulfilling career path on your own terms. 

A Place Where You Belong 

Diverse perspectives cultivate collective ingenuity. Booz Allen’s culture of respect, equity, and opportunity means that, here, you are free to bring your whole self to work. With an array of business resource groups and other opportunities for connection, you’ll develop your community in no time. 

Support Your Well-Being 

Our comprehensive benefits package includes wellness programs with HSA contributions, paid holidays, paid parental leave, a generous 401(k) match, and more. With these benefits, plus the option for flexible schedules and remote and hybrid locations, we’ll support you as you pursue a balanced, fulfilling life—at work and at home. 

Your Candidate Journey 

At Booz Allen, we know our people are what propel us forward, and we value relationships most of all.