Job Description

Remote Work:
Hybrid
Job Number:
R0204032
Location:
Arlington,VA,US
Additional Locations:
  • Alexandria, Virginia, USA
  • Washington, District of Columbia, USA
AIOps Engineer

The Opportunity: 

Are you looking for an opportunity to develop a data platform that will have an impact on rapid exploitation of the secrets held by a data set, and you’re fascinated by the possibilities presented by IoT, machine learning (ML), and artificial intelligence (AI)? In an increasingly connected world, massive amounts of structured and unstructured data open new opportunities. As a data engineer at Booz Allen, you can help turn these complex data sets into useful information to solve global challenges. Across private and public sectors from fraud detection to cancer research, to national intelligence, we need you to help find the answers in the data. You’ll support the design and infrastructure development for AI research and pilot projects ranging from enterprise-scale production state-of-the-art AI solutions.

You’ll work with customers and end-users to understand their mission, architecture, and security requirements. With a focus on the customer’s goals, you’ll build a design that will meet their evolving needs. Your technical expertise will be vital as you recommend tools and capabilities based on your research of the environment and new technology. Your design will set the standard for future development, so you’ll craft an architecture that works smoothly with existing infrastructure without compromising security. As a technical leader, you’ll identify new opportunities to build platform-based solutions to help your customers meet their toughest challenges. This is a chance to use your deep OS knowledge and broaden your skill set into areas like Cloud computing, large-scale data ingestion and processing, multiple data store types, including graph data, time series, spatial, and other NoSQL, high performance data streaming, data science, and supporting the integration of novel mission applications and analytics. Join us as we develop software-based solutions to make a difference for the integrated intelligence mission.

Join us. The world can’t wait.

You Have: 

  • 3+ year of experience with AI, data science, ML engineering, data research, software engineering, or data analytics

  • Experience with machine learning tools

  • Experience with cloud platforms, including AWS and Azure, and cloud engineering practices and programming languages, including Python, SQL, Scala, or Java

  • Experience in working with a relational database management system (RDBMS)

  • Experience with relational or non-relational database technologies

  • Experience with data modeling techniques and creating solutions in a collaborative, cross-functional team environment

  • Experience with extensive BASH scripting

  • TS/SCI clearance

  • Bachelor's degree

Nice If You Have: 

  • Experience with building ETL workflows for reporting and analytics, and designing, developing, operationalizing, and maintaining data applications

  • Experience with leading the development of solutions to complex programs

  • Experience with containerization technologies, including Docker and Kubernetes, forward-leaning technology, including cloud automation platforms, and enterprise data, open-source tech stacks, and CI/CD pipelines

  • Experience with the Atlassian tool suite, including Jira and Confluence

  • Experience with Agile development techniques and ceremonies

  • Experience with natural language processing, text mining, or ML techniques

Clearance:
Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information; TS/SCI 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 $75,600.00 to $172,000.00 (annualized USD). 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. This posting will close within 90 days from the Posting Date.

Identity Statement

As part of the application process, you are expected to be on camera during interviews and assessments. We reserve the right to take your picture to verify your identity and prevent fraud.

Work Model
Our people-first culture prioritizes the benefits of flexibility and collaboration, whether that happens in person or remotely.

  • If this position is listed as remote or hybrid, you’ll periodically work from a Booz Allen or client site facility.
  • If this position is listed as onsite, you’ll work with colleagues and clients in person, as needed for the specific role.

EEO Commitment

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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