Data Engineer, Junior
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 help develop and deploy the pipelines and platforms that make this data meaningful. What’s more, you’ll have the chance to support the growth of Booz Allen’s DataOps capabilities while supporting 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 help our clients meet their mission by increasing access to key decision making information to keep warfighters safe.
This is an opportunity to implement data engineering activities on some of the most mission-driven projects in the industry. Supporting defense agencies, you’ll have the chance to mine data, build ETL pipelines, write customer code, and develop advance visualizations. From building your skills in analytical exploration and examination of data to supporting the assessment, design, building, and maintenance of scalable platforms, you and your team will work together 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:
1+ years of experience with Python
1+ years of experience with programming languages, including SQL and R
Knowledge of statistical analysis tools, including SPSS or SAS
Knowledge in data mining or data scraping
Ability to generate data visualizations with tools, including Tableau
Ability to obtain a security clearance
Bachelor's degree
Nice If You Have:
Experience with ETL tools like Talend
Experience with data quality or data preparation techniques
Bachelor's degree in Data Engineering, Data Analytics, or a related field
Clearance:
Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information.
Compensation:
The proposed salary range for this position in Colorado is 70,000 to 80,000. Final salary will be determined based on various factors.
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.
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 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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