Graph Data Engineer, Senior

The Challenge:

Are you excited at the prospect of unlocking the potential of network graphs? Are you fascinated by the possibilities presented by combining machine learning and graph analysis? In an increasingly connected world, massive amounts of data are being gathered that are often best analyzed using concepts, including relationships and connectedness. As a data scientist specializing in graph analysis, you can turn these complex data sets into useful information to solve global challenges. Across private and public sectors — from fraud detection, to social network analysis, to national intelligence — you know the answers can be found in the data.

We have an opportunity for you to use your leadership and analytical skills to improve how organizations use data. You’ll work closely with your customer to understand their questions and needs, and then dig into their data-rich environment to find the pieces of their information puzzle. You’ll mentor teammates, develop algorithms, write scripts, build network graphs, apply machine learning, and use the right combination of tools and frameworks to turn that set of disparate data points into objective answers to help customers make informed decisions. You’ll provide your customer with a deep understanding of their data, what it all means, and how they can use it. As a technical leader, you’ll identify new opportunities to use data science solutions to help them meet their toughest challenges. Join us as we use data science and graph analysis to shape industries and prepare them for the future today.

Empower change with us.

You Have: 

-4+ years of experience with data science, machine learning engineering, or data analytics

-Experience with network graph database platforms, including neo4j, Azure CosmosDB, and Amazon Neptune

-Experience with graph programming languages such as Gremlin and SPARQL

-Experience with deploying large-scale graph databases to the cloud

-Experience with ETL tooling, including NiFi

-Experience with using Spark in Hadoop-less environment

-Ability to use a variety of programming languages including Python, Java, or Groovy

-Ability to obtain a security clearance

-BA or BS degree

Nice If You Have:

-Experience with software development processes, including Agile

-Experience with NiFi, especially development

-Experience with Spark

-Experience in a JVM-stack

-Knowledge of web development, including Java Springboot, node.js, and Python Flask

-MA or MS degree in Engineering, Physics, Mathematics, Data Science, or Industrial and Organizational Psychology

Clearance: 

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

Build Your Career:

At Booz Allen, we know the power of analytics and we’re dedicated to helping you grow as a data analysis professional. When you join Booz Allen, you’ll have the chance to:

  • Access online and onsite training in data analysis and presentation methodologies, and tools like Databricks, Docker, Tableau, and Splunk
  • Change the world with the Data Science Bowl—the world’s premier data science for social good competition
  • Participate in partnerships with data science leaders, like our partnership with NVIDIA to deliver Deep Learning Institute (DLI) training to the federal government

You’ll have access to a wealth of training resources through our Analytics University, an online learning portal specifically geared towards data science and analytics skills, where you can access more than 5000 functional and technical courses, certifications, and books. Build your technical skills through hands-on training on the latest tools and state-of-the-art tech from our in-house experts. Pursuing certifications that directly impact your role? You may be able to take advantage of our tuition assistance, onsite boot camps, certification training, academic programs, vendor relationships, and a network of professionals who can give you helpful tips. We’ll help you develop the career you want as you chart your own course for success.

We’re an EOE that empowers our people—no matter their race, color, religion, sex, gender identity, sexual orientation, national origin, disability, veteran status, or other protected characteristic—to fearlessly drive change.

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