Data Engineer

The Opportunity:

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 grow our Data Ops 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 ensure our clients meet their mission by supporting national security.

This is an opportunity to support data engineering activities on some of the most mission-driven projects in the industry. Driving intelligence, surveillance, and reconnaissance (ISR) efforts for the Air Force, 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, or build data models. From performing analytical exploration and examination of data to leading the assessment, design, building, and maintenance of scalable platforms, you’ll guide your clients to solve their most pressing challenges.

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

Join us. The world can’t wait.

You Have:

• 3+ years of experience with data engineering and data wrangling

• 3+ years of experience in building highly scalable ETL or Data Ops pipelines, including cloud native or open-source data technologies

• Experience with programming languages, such as Python, SQL, Scala, or Java

• Experience with UNIX and Linux, including basic commands and Shell scripting

• Experience with Elasticsearch, Logstash, and Kibana

• TS/SCI clearance

• Bachelor’s degree in a STEM field

Nice If You Have:

• Experience working in Agile, Dev Sec Ops teams and environments, including Atlassian tools

• Experience in implementing batch and real-time big data integration frameworks and applications, in private or public cloud, including AWS or Azure, using various technologies, including Hadoop, Spark, Impala, debugging, identifying performance bottlenecks, and finetuning those frameworks

• Knowledge of relational and dimensional modeling techniques

• Master's degree in a STEM field

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 $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.