Remote Python Data Analysis Jobs in Honolulu, HI

Remote Work:
Hybrid
Job Number:
R0245942
Location:
Honolulu,HI,US
Share job via:
Share
Data Engineer
The Opportunity:
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, on 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.
Join us. The world can't wait.
You Have:

• 3+ years of experience in software development, data science, or data engineering based on impactful industry-oriented data science or full-stack development work
• 2+ years of experience utilizing Python for data related work leveraging standard libraries such as NumPy, pandas, matplotlib, and PySpark
• 1+ years of experience building visualization front ends in the form of analytics dashboards or interactive GUI applications such as web apps
• 1+ years of experience with external customer facing communication regarding technical solutions to a non-technical audience including leadership
• Experience to break down complex problems into technical solutions based on customer requirements independently
• Experience with routinely following SDLC best practices
• Ability to be detail oriented and proactive
• Ability to articulate and anticipate development risks
• Secret clearance
• Bachelor's degree in a STEM field such as computer science, data science, mathematics, statistics, or engineering

Nice If You Have:

• Experience with distributed data and computing tools such as Spark, MapReduce, or Hadoop
• Experience working with cloud-based environments such as AWS
• Experience with Generative AI techniques including LLMs
• Experience with React and Angular frameworks
• Experience with TypeScript
• Experience working with DoD platforms such as War Data Platform, formerly ADVANA, or Palantir Foundry
• 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

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 $61,900.00 to $141,000.00 (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 hiring process, we will ask you to complete an identity verification process that leverages advanced biometrics and artificial intelligence to ensure authenticity and protect against identity fraud. 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.
Candidate AI Usage Policy
AI is a part of our daily work at Booz Allen, and we are committed to the responsible and ethical use of AI tools. However, we want to ensure a fair candidate process based on your own skills and knowledge. As part of this commitment, the use of artificial intelligence (AI) or other tools to assist with responses during interviews (whether in-person or virtual) is prohibited unless permission is explicitly provided.
Work Model
Our people-first culture prioritizes the benefits of collaboration, whether it occurs in person or virtually. To support engagement and effective communication, employees working virtually are generally expected to have their cameras on during meetings.

• Remote: If this position is listed as remote, there may still be occasions when you are required to work in person at a Booz Allen or customer facility.
• Hybrid: If this position is listed as hybrid, you will be expected to work from a Booz Allen facility frequently, in alignment with leadership expectations and the needs of the role. You may also be required to work from or visit a customer facility.
• Onsite: If this position is listed as onsite, work will primarily be performed at a Booz Allen office or customer facility, where employees will collaborate directly with colleagues and customers as required by the role.

Commitment to Non-Discrimination
All qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran or any other status protected by applicable federal, state, local, or international law.
Not ready to apply? Join our Talent Community and sign up for job alerts.