Data Engineer

Booz Allen Hamilton • San Diego, CA

1d • $61,900 - $141,000

About The Position

As a Data Engineer at Booz Allen, you will help clients organize and derive insights from structured and unstructured data to support mission-driven projects, including areas such as fraud detection, cancer research, and national intelligence. You will build advanced technology solutions and carry out data engineering activities by developing and deploying pipelines and platforms that make data from disparate sources 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 platforms while applying analytical exploration and data examination skills.

Requirements

• At least 3 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 using 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

• Build advanced technology solutions and implement data engineering activities for client projects.
• Develop and deploy pipelines and platforms to organize data from disparate sources.
• Support the assessment, design, development, and maintenance of scalable platforms.
• Collaborate with analysts, data engineers, developers, and data consumers in an agile environment.

Benefits

• Health, life, and disability benefits.
• Financial and retirement benefits.
• Paid leave.
• Professional development.
• Tuition assistance.
• Work-life programs.
• Dependent care.
• Recognition awards for exceptional performance and demonstration of company values.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level