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Job Location: Arlington, VA
Job Detail:
Job Number: R0161524
Big Data Engineer, Mid
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 and agile environment. We’re looking for someone like you to work with our clients to meet their mission.
This is an opportunity to work on a cross-functional team of data scientists, data engineers, modelers, and web developers to implement data engineering activities on some of the most mission-driven projects in the aerospace industry. You’ll have the chance to architect data systems, stand up data platforms, build out extract, transform, and load (ETL) pipelines, interface with data stores, 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 a hybrid role with a combination of working at a Booz Allen office or client site and working remotely.
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 cloud platforms, including AWS, Azure, or GCP
- Experience with full data processing pipeline from ingestion, transformation, storage, analysis, and visualization
- Experience with data platforms, including Databricks or the IBM Watson Data Platform
- Ability to communicate data engineering issues and solutions to technical and non-technical audiences
- Secret clearance
- Bachelor’s degree
Nice If You Have:
- 1+ years of experience with Big Data technologies, including Hadoop, Spark, Hive, and Zeppelin
- Experience with data science tools, including Python, R, or Jupyter
- Knowledge of ETL tools, including NiFi, Dagster, and AirFlow
- Ability to work independently and define project objectives and milestones
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.
Compensation:
At Booz Allen, we celebrate your contributions, provide you with opportunities and choices, and support your total well-being. Our offerings include health, life, disability, financial, and retirement benefits, as well as paid leave, professional development, tuition assistance, work-life programs, and dependent care. Our recognition awards program acknowledges employees for exceptional performance and superior demonstration of our values. Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible to participate in Booz Allen’s benefit programs. Individuals that do not meet the threshold are only eligible for select offerings, not inclusive of health benefits. We encourage you to learn more about our total benefits by visiting the Resource page on our Careers site and reviewing Our Employee Benefits page.
Salary at Booz Allen is determined by various factors, including but not limited to location, the individual’s particular combination of education, knowledge, skills, competencies, and experience, as well as contract-specific affordability and organizational requirements. The projected compensation range for this position is $61,600 to $140,000. The estimate displayed represents the typical salary range for this position, and is just one component of Booz Allen’s total compensation package for employees.
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 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 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.
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