Data Engineer

Booz Allen Hamilton

Confirmed live today Low trust

Quick summary

Work type
On-site
Location
O'Fallon, IL
Employment
Full-time
Posted
84 days ago
Freshness
Confirmed live today

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Salary context

How this pay compares to similar roles

Similar $168k
$116k $218k
below market most similar roles pay here above market

This listing doesn't post a salary. Most similar roles pay $126,800–$208,293.

Based on 240 similar postings.

Employer

About Booz Allen Hamilton

Booz Allen Hamilton is a management and technology consulting firm that provides analytics, digital, engineering, and cybersecurity solutions primarily to U.S. government agencies and commercial clients. Industry: Management & Technology Consulting

Booz Allen Hamilton currently has 1662 open roles on FindRole.

Listed pay typically runs $86,800–$198,000 across 904 roles with salary data.

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At a glance

TL;DR · Data Engineer

JOB TITLE: Data Engineer As a Data Engineer, you will join a multi-disciplinary team of analysts, developers, and data consumers to build advanced technology solutions for mission-driven projects. You will develop and deploy pipelines and platforms that organize disparate data into meaningful formats, supporting the assessment, design, development, and maintenance of scalable platforms. Your daily work involves creating software for retrieving, parsing, and processing structured and unstructured data, as well as developing scalable ETL or ELT workflows for reporting and analytics. You will utilize Python, C++, Java, and Linux to support project teams in scaling and monitoring data platforms. The role addresses complex technical problems in areas such as fraud detection, cancer research, and national intelligence by transforming diverse data sources into usable insights.

What does a Data Engineer earn?

Median $159000 from 203 postings across 58 companies.

See salary data

What you'll do

  • Develop and deploy pipelines and platforms to organize disparate data into meaningful formats.
  • Build and maintain scalable data stores that supply big data for business analysis.
  • Create software for retrieving, parsing, and processing both structured and unstructured data.
  • Develop scalable ETL or ELT workflows to support reporting and analytics.
  • Write scripts and programs to convert various data types into usable formats.
  • Support the assessment, design, development, and maintenance of scalable data platforms.
  • Monitor and operate data platforms to ensure consistent performance and reliability.

What we're looking for

  • 2+ years of experience utilizing Python.
  • 2+ years of experience developing and maintaining scalable data stores for big data business analysis.
  • Experience utilizing programming languages including C++, Java, or Linux.
  • Experience creating software for retrieving, parsing, and processing structured and unstructured data.
  • Experience developing scalable ETL or ELT workflows for reporting and analytics.
  • Experience creating solutions within a collaborative, cross-functional team environment.
  • Bachelor’s degree.

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