Senior Data Engineer: Cloud Pipelines & AI-Driven Insights

Booz Allen Hamilton; Huntsville (AL); On-site; USD 78,000 - 176,000; Full time

Job summary

Booz Allen Hamilton seeks a Senior Data Engineer to help build and operate data pipelines and platforms across mission-driven projects. You will organize data from disparate sources to enable insights for fraud detection, cancer research, and national intelligence.

You will work with analysts, data engineers, developers, and data consumers in an agile environment, guiding design, development, and maintenance of scalable data systems. A TS clearance is required.

Qualifications

• 6+ years of experience designing data warehouse or data lake, RESTful API models, event processing, or business intelligence for software systems.
• 6+ years building scalable ETL/ELT data pipelines and handling structured, unstructured, or event-streaming data.
• 6+ years of programming with Postgres, SQL, Python, Scala, Spark, or Java.
• Experience with Spark, NiFi, or Databricks.
• Experience tuning data lake architectures for cloud storage and pipeline performance.
• Experience with data catalog, usage governance, and lifecycle management.
• Top Secret clearance.
• Bachelor’s degree and 8+ years (or 12+ years without a degree) in data systems.

Responsibilities

• Design, develop, and maintain scalable data platforms and pipelines.
• Collaborate with analysts, data engineers, and developers on mission-driven projects.
• Engineer data flows from disparate sources to enable insights and decision-making.
• Guide a multi-disciplinary team through agile delivery in fast-paced environments.

Skills

ETL pipelines

SQL

Python

Spark

Databricks

Data governance

Security clearance

Education

Bachelor's degree

8+ years of experience in lieu of degree

Tools

Apache Spark

Apache NiFi

Databricks

AWS

Azure

Job description

Booz Allen Hamilton seeks a Senior Data Engineer to help build and operate data pipelines and platforms across mission-driven projects. You will organize data from disparate sources to enable insights for fraud detection, cancer research, and national intelligence.

You will work with analysts, data engineers, developers, and data consumers in an agile environment, guiding design, development, and maintenance of scalable data systems. A TS clearance is required.