Senior Data Engineer — Cloud, AI-Driven Pipelines (Remote)

Booz Allen Hamilton; Dayton (OH); On-site; USD 62,000 - 141,000; Full time

Job summary

Booz Allen Hamilton in the United States is seeking a Data Engineer to design, build, and optimize data pipelines and platforms that transform unstructured and structured data into actionable insights for mission-focused projects. The role emphasizes collaboration with analysts, data engineers, and developers in a fast-paced, agile environment.

You will apply hands-on experience with data architecture, ETL, and cloud technologies (AWS) on diverse projects, with a TS/SCI clearance preferred.

Qualifications

• 5+ years of experience with data architecture, design, or engineering projects.
• Experience with cloud migration and modernization efforts and creating automated Extract, Transform, Load (ETL) processes to move data from unstructured source data to application governed storage.
• Experience with the data pipelines, including data acquisition, data prep, database architecture, data governance, and data tagging.
• Experience with non-relational NoSQL, semi-relational databases, and relational SQL databases.
• Experience with implementing monitoring tools to maintain data integrity, fix broken pipelines, and handle missing or corrupt information and designing scalable data lake, warehouse, and analytics solutions.
• Experience integrating AI/ML capabilities into production workflows or operator tooling, such as LLM enabled assistants, model augmented decision aids, or automation solutions.
• Knowledge of AWS services, such as S3, IAM, EventBridge, Step Functions, or Lambda.
• Ability to work both within a team and independently to manage tasks with minimal supervision.
• TS/SCI clearance
• Bachelor's degree in Computer Science or technical discipline

Responsibilities

• Develop and deploy pipelines and platforms that organize and make disparate data meaningful.
• Support assessment, design, development, and maintenance of scalable data platforms for clients.
• Collaborate with analysts, data engineers, developers, and data consumers in an agile environment.

Skills

Data architecture

Data engineering

ETL

Data pipelines

SQL

NoSQL

AI/ML integration

AWS services

Monitoring data quality

TS/SCI clearance

Team work

Education

Bachelor's degree in Computer Science or technical discipline

Tools

dbt

Airflow

Job description

Booz Allen Hamilton in the United States is seeking a Data Engineer to design, build, and optimize data pipelines and platforms that transform unstructured and structured data into actionable insights for mission-focused projects. The role emphasizes collaboration with analysts, data engineers, and developers in a fast-paced, agile environment.

You will apply hands-on experience with data architecture, ETL, and cloud technologies (AWS) on diverse projects, with a TS/SCI clearance preferred.