Health Supply Chain Data Engineer

The Challenge:

Do you want to work at the forefront of advanced technology and solve complex data challenges? You know that data yields pivotal insights when it’s gathered from disparate sources and organized. As a data engineer, you have the chance to develop and deploy the pipelines and platforms that make this data meaningful. What’s more, you’ll have the chance to help grow Booz Allen’s DataOps capabilities while working with a multi-disciplinary team of analysts, data engineers, data scientists, developers, and data consumers in a fast-paced, agile environment. We’re looking for someone like you to work with our clients and meet their mission by understanding and protecting the medical device supply chain.

This is an opportunity to implement data engineering activities on some of the most mission-driven projects in the industry. You’ll have the chance to architect data systems, stand up data platforms, build out ETL pipelines, write custom code, interface with data stores, perform data ingestion, and build data models. From sharing your skills in analytical exploration and examination of data to supporting the assessment, design, building, and maintenance of scalable platforms, you’ll work with our clients to solve their most pressing challenges. This position is open to remote delivery anywhere within the U.S., to include the District of Columbia.

Ready to help drive innovation using cutting-edge data tools and techniques?

Join us. The world can’t wait.

You Have:

• 3+ years of experience within Data Science, Data Engineering, Software Development, Database Engineering, or Data Analytics
• Experience with Informatica IDQ, EDC, MDM, or Axon in support of data curation and data management efforts
• Experience with R, Python, or SQL to manipulate data and draw insights from large and small data sets
• Experience with Tableau, ArcGIS, or knowledge of other data visualization tools including D3.js, ggplot, or Bokeh
• Experience working with data management concepts and activities including an understanding of industry best practices for Data Sourcing, Key Data Elements, Data Quality Management, Metadata, and Enterprise Data Management Policy, Process, and Procedures
• Experience facilitating information discovery sessions with business owners and other SMEs to extract all appropriate information and context
• Ability to work within standardized and non-standardized processes to accomplish assigned tasks
• Ability to obtain a security clearance
• Bachelor’s degree

Nice If You Have:

• 1+ years of experience with Informatica EDC or MDM
• Experience with AWS, including products related to analytics, computing, databases, developer tools, and machine learning
• Experience working with data science and BI teams
• Experience developing solutions involving unstructured data
• Experience with the Medical Product, Healthcare, or Supply Chain domains
• Experience developing software code with object-oriented programing languages, including Java, C++, or C# Java and scripting languages, including Python, R, Bash, Batch, and PowerShell
• Experience with implementing a variety of supervised and unsupervised machine learning techniques, including clustering, decision tree learning, and artificial neural networks and knowledge of their real-world advantages and drawbacks
• Knowledge of data standardization policies and standards sufficient to develop data management tools, including data dictionaries, data models, and metadata repositories
• Possession of excellent verbal and written communication skills, including documentation skills focusing on accuracy, consistency, and standardized terminology

Clearance:

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

Compensation:

At Booz Allen, we celebrate your contributions, provide you with opportunities and choice, and support your total well-being. Our comprehensive benefit offerings include healthcare, retirement plan, insurance programs, commuter program, employee assistance program, paid and unpaid leave programs, education assistance, and childcare benefits.

The proposed salary range for this position in Colorado is $110,000 to $150,000. Final salary will be determined based on various factors.

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 Hortonworks, 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, on-site bootcamps, 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 equal employment opportunity/affirmative action employer that empowers our people to fearlessly drive change – no matter their race, color, ethnicity, religion, sex (including pregnancy, childbirth, lactation, or related medical conditions), national origin, ancestry, age, marital status, sexual orientation, gender identity and expression, disability, veteran status, military or uniformed service member status, genetic information, or any other status protected by applicable federal, state, local, or international law.