Platform and 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 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.

The DoD space is looking for individuals with exceptional software development, data engineering, or data science backgrounds who have done outstanding work utilizing tools such as Foundry, Spark, Python, Qlik, Tableau, and web development frameworks such as React. In short, we are seeking a “full-stack” data engineer who is passionate about building data applications from end to end. This includes data engineering back-ends to building interactive front-ends. For example, one of our offices is leading data analytics efforts of logistics data sets for the US Navy.

Moreover, we strive to maintain the very best software and data development practices that our clients trust, we are hoping you pride yourself on writing production quality code and finding the story behind the data! You’ll work closely with clients to understand their questions and needs and then dig into their data-rich environments to put together the pieces of their information puzzle. You’ll work side by side with teammates in classified environments and own the development of analytics systems. You’ll use a variety of different tools and frameworks to turn sets of disparate data points into meaningful answers to advise our clients as they make informed decisions. Ultimately, you’ll bring a deep understanding of data fundamentals to a competitive and challenging data environment to provide the best possible outcomes for our clients.

Projected compensation range: $61,900.00 - $141,000.00 (annualized USD)

Key Responsibilities

• Deploy and develop pipelines and platforms that organize and make disparate data meaningful.
• Guide a multi-disciplinary team of analysts, data engineers, developers, and data consumers in a fast-paced, agile environment.
• Manage the assessment, design, building, and maintenance of scalable platforms for clients.
• Work closely with clients to understand their questions and needs.
• Dig into data-rich environments to put together the pieces of their information puzzle.
• Own the development of analytics systems.
• Use a variety of different tools and frameworks to turn sets of disparate data points into meaningful answers to advise clients.

Requirements & Tech Stack

• Experience in software development, data science, or data engineering including in an academic or internship environment.
• Experience utilizing Python for data, leveraging standard libraries such as NumPy, pandas, matplotlib, and PySpark including in an academic or internship environment.
• Ability to build visualization front ends in the form of analytics dashboards or interactive GUI applications such as web apps.
• Ability to use external customer facing communication regarding technical solutions to a non-technical audience, including leadership.
• Ability to break down complex problems into technical solutions based on customer requirements, including independently.
• Ability to be detail oriented and proactive.
• Ability to articulate and anticipate development risks.
• Secret clearance required.
• Bachelor's degree in a STEM field, such as Computer Science, Data Science, Mathematics, Statistics, or Engineering.

Nice If You Have

• Experience working with DoD platforms such as War Data Platform, ADVANA, or Palantir Foundry.
• Experience with distributed data and computing tools, such as Spark, MapReduce, or Hadoop.
• Experience with React and Angular frameworks.
• Experience with TypeScript.
• Experience with Generative AI techniques, including LLMs.
• Experience working with cloud-based environments, such as AWS.
• Experience solving optimization problems from an operations research perspective, such as linear programming, nonlinear programming, and constraint programming.
• Experience writing production-level code for maximal efficiency, speed and reliability.
• Experience working with high-ranking military personnel.
• Master's degree in a STEM field, such as Computer Science, Data Science, Mathematics, Statistics, or Engineering.