Data Engineer: Build Scalable Data Pipelines for Impact

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

Job summary

Booz Allen Hamilton is seeking a Data Engineer to design and deploy scalable data pipelines that consolidate structured and unstructured data from multiple sources in support of mission-driven analytics. You will work within a cross-functional team of analysts, developers, and data consumers to build robust data platforms.

The role emphasizes creating scalable ETL/ELT workflows, querying with SQL and programming in languages like C++, Java, or Python, and deploying data solutions on cloud

Qualifications

• 2+ years of experience developing and maintaining scalable data stores for big data analytics.
• Experience creating software for retrieving, parsing and processing structured and unstructured data.
• Experience developing scalable ETL and ELT workflows for reporting and analytics.

Responsibilities

• Design and implement data pipelines that ingest, process, and store large-scale data from diverse sources.
• Collaborate with cross-functional teams to deliver analytics-ready data assets for mission-driven projects.
• Develop and optimize scalable data platforms, leveraging cloud services and big data tools.

Skills

C++

Java

Python

SQL

Education

Bachelor's degree

Tools

Spark

Hadoop

Kafka

MongoDB

Cassandra

AWS

Azure

GCP

Job description

Booz Allen Hamilton is seeking a Data Engineer to design and deploy scalable data pipelines that consolidate structured and unstructured data from multiple sources in support of mission-driven analytics. You will work within a cross-functional team of analysts, developers, and data consumers to build robust data platforms.

The role emphasizes creating scalable ETL/ELT workflows, querying with SQL and programming in languages like C++, Java, or Python, and deploying data solutions on cloud