Platform and Data Engineer

Booz Allen Hamilton

Confirmed live today High trust

Quick summary

Work type
On-site
Location
Pearl Harbor, HI
Salary
$61,900–$141,000 / yr
Employment
Full-time
Posted
3 days ago
Freshness
Confirmed live today

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $162k
This role $101k
$44k $227k
below market most similar roles pay here above market

This role pays less than 94% of similar roles. Most pay $130,152–$192,875 — the blue band above. At the midpoint, this role pays about $101k versus about $162k for comparable roles.

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 1744 open roles on FindRole.

Listed pay typically runs $86,800–$198,000 across 900 roles with salary data.

Most-posted roles

View all roles at Booz Allen Hamilton

At a glance

TL;DR · Platform and Data Engineer

The Platform and Data Engineer joins a multi-disciplinary team to build advanced technology solutions and implement data engineering activities for mission-driven projects. This role involves developing and deploying pipelines and platforms that organize disparate data into meaningful insights for applications such as fraud detection, cancer research, and national intelligence. The engineer will manage the assessment, design, building, and maintenance of scalable platforms while creating data engineering back-ends and interactive front-ends. Key technologies and skills include Python, Spark, NumPy, pandas, matplotlib, PySpark, Qlik, Tableau, and web development frameworks like React, TypeScript, and Angular. Candidates must utilize Foundry, Databricks, and SDLC best practices to turn complex data sets into production-quality code and analytics systems within classified environments to support informed decision-making.

What you'll do

  • Develop and deploy data pipelines and platforms to organize disparate data sources.
  • Design, build, and maintain scalable data platforms for mission-driven projects.
  • Write production-quality code for data engineering back-ends and interactive front-ends.
  • Build visualization front-ends such as analytics dashboards and web applications.
  • Translate complex customer requirements into technical solutions and data architectures.
  • Perform analytical exploration and data examination to provide meaningful insights.
  • Manage the full software development life cycle including testing and release processes.
  • Communicate technical solutions and data findings to non-technical stakeholders.

What we're looking for

  • Bachelor's degree in a STEM field such as Computer Science, Data Science, Mathematics, Statistics, or Engineering.
  • 3+ years of experience in software development, data engineering, or data science delivering enterprise-scale solutions.
  • 2+ years of experience utilizing Python for data work with libraries like NumPy, pandas, matplotlib, and PySpark.
  • 2+ years of experience breaking down complex problems into technical solutions based on customer requirements.
  • 1+ years of experience building visualization front ends such as analytics dashboards or interactive GUI applications.
  • 1+ years of experience communicating technical solutions to non-technical customers and senior leadership.
  • Experience adhering to SDLC best practices, including requirements management, testing, change control, and release processes.
  • Secret clearance.

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