Mission-Driven Data Engineer | Remote-Eligible

Booz Allen Hamilton; Tampa (FL); Hybrid; USD 78,000 - 176,000; Full time

Job summary

Booz Allen Hamilton is seeking a Data Engineer to help build pipelines and platforms that transform disparate data into insights for critical missions, from fraud detection to cancer research. You will guide a multi-disciplinary team and implement scalable data solutions for government and commercial clients across a fast-paced, agile environment.

Ideal candidates bring extensive Qlik experience, enterprise-scale data app development skills, and a background in ETL/ELT workflows.

Qualifications

• 5+ years of experience in application development in Qlik.
• 5+ years of experience designing, developing, operationalizing and maintaining complex data applications at enterprise scale.
• 3+ years of experience building scalable ETL or ELT workflows for reporting and analytics.
• Experience creating solutions within a collaborative, cross-functional team environment.
• 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.

Responsibilities

• Help build and deploy pipelines and platforms that organize and make disparate data meaningful.
• Collaborate with analysts, data engineers, developers, and data consumers in a fast-paced, agile environment.
• Lead assessment, design, build and maintenance of scalable data platforms for clients.

Skills

Qlik experience

Data engineering

Python

SQL

Scala

Java

Education

Bachelor’s degree

Tools

Spark

Databricks

Hadoop

Hive

AWS EMR

Kafka

Job description

Booz Allen Hamilton is seeking a Data Engineer to help build pipelines and platforms that transform disparate data into insights for critical missions, from fraud detection to cancer research. You will guide a multi-disciplinary team and implement scalable data solutions for government and commercial clients across a fast-paced, agile environment.

Ideal candidates bring extensive Qlik experience, enterprise-scale data app development skills, and a background in ETL/ELT workflows.