Data Engineer

Booz Allen Hamilton•San Diego, CA

About The Position

As a Data Engineer at Booz Allen, you will build advanced technology solutions and implement data engineering activities on mission-driven projects. You will develop and deploy pipelines and platforms that organize disparate data and make it meaningful. Working with analysts, data engineers, developers, and data consumers in a fast-paced, agile environment, you will support the assessment, design, development, and maintenance of scalable client platforms. The work applies data to missions such as fraud detection, cancer research, and national intelligence. Applicants must be able to obtain a Secret clearance. Selected applicants will undergo a security investigation and may need to meet eligibility requirements for access to classified information. The projected annualized compensation range is $61,900 to $141,000. Salary depends on factors including location, education, skills, competencies, experience, and contract and organizational requirements. Booz Allen describes benefits that include health, life, disability, financial and retirement benefits, paid leave, professional development, tuition assistance, work-life programs, dependent care, and recognition awards. Eligibility for benefit programs varies; full-time and part-time employees who regularly work at least 20 hours per week are eligible to participate. The role’s work model (remote, hybrid, or onsite) is not specified in the supplied posting. Remote employees may sometimes need to work at a Booz Allen or customer facility; hybrid employees are expected to work at a facility as directed by leadership and role needs; onsite work is primarily at a customer facility. The hiring process includes identity verification using biometrics and AI, and candidates are expected to be on camera during interviews and assessments. Use of AI or other tools to assist with interview responses is prohibited unless explicitly permitted.

Requirements

At least 5 years of experience in data engineering, data science, software engineering, or pipeline development.
Experience with ETL operations or pipeline development and integration.
Experience writing deployable software in programming languages, including Python.
Experience with data visualization tools such as Power BI, Tableau, or Qlik.
Knowledge of relational and non-relational database technologies, including SQL or GraphQL.
Knowledge of automation and scripting on Linux or Windows operating systems.
Ability to obtain a Secret clearance.
Bachelor’s degree.

Nice To Haves

Experience deploying analytics workloads on PaaS and SaaS platforms, including AWS EMR, Redshift, SageMaker, Databricks, SQL Data Warehouse, or Machine Learning service.
Experience with distributed or parallel programming frameworks, including Apache Spark or NVIDIA CUDA.
Experience with infrastructure-as-code frameworks and services, including Terraform or CloudFormation.
Experience developing and presenting complex technical information to technical and non-technical audiences and senior leaders.
Experience developing and deploying large-scale batch and stream analytics pipelines.
Experience with DoD information systems.
Master’s degree in Computer Science, Computer Engineering, Mathematics, Data Science, Software Engineering, Electrical Engineering, Physics, or a related field.

Responsibilities

Develop and deploy data pipelines and platforms that organize disparate data and make it meaningful.
Implement data engineering activities on mission-driven projects.
Support assessment, design, development, and maintenance of scalable platforms for clients.
Collaborate with analysts, data engineers, developers, and data consumers in an agile environment.
Use analytical exploration and data examination to support client work.