Data Engineer, Mid — ML-Driven, Mission‑Critical Data

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

Job summary

Booz Allen Hamilton is seeking a Data Engineer, Mid to join our national security‑focused data team in Tampa, FL. You will design, build, and operate data pipelines for structured and unstructured data, applying ML techniques to deliver insights for mission‑critical programs.

Required: 2+ years in a professional setting, Python/SQL, ETL/ELT, cloud experience (AWS/Azure/GCP), TS/SCI clearance, Bachelor's degree. Nice to have: Databricks, Spark, Kafka, NoSQL, Redshift, Snowflake.

Qualifications

• 2+ years of experience in a professional work environment working with interdisciplinary teams.
• 2+ years of experience with designing, developing, operationalizing, and maintaining complex data applications at enterprise scale.
• 2+ years of experience with designing, developing, operationalizing, and maintaining complex relational databases at enterprise scale.
• Experience creating software for retrieving, parsing, and processing structured and unstructured data.
• Experience coding in either Python, R, or R Studio, and SQL.
• Experience building scalable ETL and ELT workflows including scripting and translating between multiple file formats.
• Experience with public clouds such as AWS, Microsoft Azure, or Google Cloud.
• Ability to develop scripts and programs for converting various types of data into usable formats and support project team to scale, monitor, and operate data platforms.
• TS/SCI clearance
• Bachelor’s degree

Skills

Python

SQL

ETL/ELT

Cloud platforms

ML concepts

TS/SCI clearance

Education

Bachelor's degree

Master's degree

Tools

Databricks

Spark

AWS EMR

Kafka

Bash

Scala

MongoDB

Redshift

MySQL

PostgreSQL

Snowflake

Java

.NET

Job description

Booz Allen Hamilton is seeking a Data Engineer, Mid to join our national security‑focused data team in Tampa, FL. You will design, build, and operate data pipelines for structured and unstructured data, applying ML techniques to deliver insights for mission‑critical programs.

Required: 2+ years in a professional setting, Python/SQL, ETL/ELT, cloud experience (AWS/Azure/GCP), TS/SCI clearance, Bachelor's degree. Nice to have: Databricks, Spark, Kafka, NoSQL, Redshift, Snowflake.