Data Engineer

Booz Allen Hamilton

Confirmed live today High trust

Quick summary

Work type
On-site
Location
Offutt AFB, NE
Employment
Full-time
Posted
12 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 The Data Engineer joins a multi-disciplinary team of analysts, data scientists, and developers to support mission-driven projects involving intelligence, surveillance, and reconnaissance efforts for the Air Force. This role involves architecting data systems, standing up data platforms, building ETL pipelines, and creating data models to solve pressing national security challenges. Key responsibilities include performing data ingestion, writing custom code, and conducting analytical exploration of data. The successful candidate will utilize programming languages, big data environments, and tools such as Hadoop, Spark, Impala, Solr, and Elasticsearch. Required skills include data modeling, schema configuration, and data quality standardization. Experience with AWS, Azure, and DevSecOps environments is preferred. Candidates must possess an active TS/SCI clearance and the ability to work in a matrixed environment.

What does a Data Engineer earn?

Median $159000 from 203 postings across 58 companies.

See salary data

What you'll do

  • Architect and stand up scalable data systems and platforms.
  • Build and maintain ETL pipelines for data ingestion and integration.
  • Write custom code and scripts to convert various data types into usable formats.
  • Develop and manage data models, schemas, and standardization techniques.
  • Perform analytical exploration and examination of complex datasets.
  • Interface with diverse data stores to ensure data quality and management.
  • Lead the assessment, design, and maintenance of big data platforms.

What we're looking for

  • High school diploma or GED.
  • Active TS/SCI clearance and willingness to take a polygraph exam.
  • 2+ years of experience with a programming language.
  • 2+ years of experience with developing data pipelines, data modeling, schema configuration, data quality, standardization, integration, and management.
  • Ability to develop scripts and programs for converting various types of data into usable formats.
  • Ability to work in a big data environment and communicate technical solutions to non-technical stakeholders.
  • Experience working in Agile or DevSecOps environments, including Atlassian tools (preferred).
  • Master’s degree.

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