Data Engineer

Booz Allen Hamilton; Fort Meade (MD); On-site; USD 77,600 - 176,000; Full time

Benefits offered by this job

Health benefits

Retirement plan

Job summary

Booz Allen Hamilton is seeking a data engineer to architect and maintain scalable data pipelines and platforms for mission-driven projects at Fort Meade, MD.

You will work with a multidisciplinary team to organize diverse data sources and deliver actionable insights for cyber risk, acquisitions, and mission analysis. Requires 4+ years in Python/PySpark/SQL/Databricks and TS/SCI eligibility.

Qualifications

• 4+ years of Python, PySpark, SQL, and Databricks experience.
• 2+ years in data engineering and analytics delivering actionable insights.
• Experience with MSS, DoD data platforms, and data workflows preferred.

Responsibilities

• Build and maintain scalable data pipelines and platforms.
• Organize data from structured and semi-structured sources for analytics.
• Collaborate with analysts, developers, and stakeholders to deliver insights.

Skills

Python

PySpark

SQL

Databricks

MSS

data pipelines

APIs

data models

communication

data governance

Education

Bachelor’s degree

Tools

Advana

Qlik

Job description

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. Given the expansion of big data analytics, new challenges are emerging for the integration of data sets. 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 cyber risk identification to acquisition programs to DOW mission decomposition.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.Work with us to use data for good.Join us. The world can’t wait.You Have:4+ years of experience with Python, PySpark, SQL, and Databricks2+ years of experience with data engineering and analytics, delivering actionable insights and performance metrics2+ years of experience working within the Maven Smart System (MSS), developing or supporting mission-focused data workflows, applications, and analytic capabilitiesExperience integrating, transforming, and validating data from multiple structured and semi-structured sources using APIs, SQL, and modern data engineering practicesExperience developing scalable data pipelines, data models, and data products that support operational planning, analytics, and executive decision-makingExperience working with large, complex datasets while ensuring data quality, performance, and reliabilityAbility to communicate complex technical concepts clearly and effectively to technical teams, operators and executive stakeholdersTS/SCI clearanceBachelor’s degreeNice If You Have:Experience using DoD data platforms such as Advana and Qlik for data integration, ingestion, and visualizationExperience with the Defense Acquisition Visibility Environment (DAVE)Experience documenting data analytics processes and maintaining reproducible analytic methodsExperience engaging data owners to establish sharing agreements that enable the establishment of data pipelinesExperience applying machine learning or natural language processing to operational or intelligence dataExperience with DoD and Intelligence Community data ecosystems and collaboration with interagency partnersExperience developing data governance frameworks and standardsKnowledge of cybersecurity data and analyticsClearance: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.CompensationAt 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 $77,600.00 to $176,000.00 (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 StatementAs 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 PolicyAI 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 ModelOur 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-DiscriminationAll 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.