Platform and Data Engineer

Booz Allen Hamilton

Confirmed live yesterday High trust

Quick summary

Work type
On-site
Location
Honolulu, HI
Salary
$61,900–$141,000 / yr
Employment
Full-time
Posted
2 days ago
Freshness
Confirmed live yesterday

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $171k
This role $101k
$44k most similar roles pay here $229k

This role pays less than 96% of similar roles. Most pay $139,550–$202,120 — the shaded band above. At the midpoint, this role pays about $101k versus about $171k 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 1042 open roles on FindRole.

Listed pay typically runs $86,800–$198,000 across 765 roles with salary data.

Most-posted roles

View all roles at Booz Allen Hamilton

At a glance

TL;DR · Platform and Data Engineer

As a Platform and Data Engineer, you will join a multi-disciplinary team in an agile environment to develop advanced technology solutions and manage the assessment, design, building, and maintenance of scalable platforms. You will build data engineering back-ends and interactive front-end dashboards to organize disparate data into meaningful insights for mission-driven projects like fraud detection and cancer research. The role requires expertise in Python with libraries such as NumPy, pandas, matplotlib, and PySpark, alongside experience with Spark, MapReduce, Hadoop, and cloud environments like AWS. You will also utilize tools including Foundry, Qlik, Tableau, and web frameworks like React or Angular. This position focuses on solving complex data problems within the defense sector, requiring a full-stack approach to create production-quality code that transforms large datasets into actionable information for critical decision-making.

What you'll do

  • Develop and deploy data pipelines and platforms to organize disparate data into meaningful insights.
  • Build full-stack data applications including both back-end engineering and interactive front-end interfaces.
  • Design, build, and maintain scalable platforms for clients in a fast-paced agile environment.
  • Translate complex customer requirements into technical solutions and production-quality code.
  • Create visualization tools such as analytics dashboards or interactive GUI web applications.
  • Analyze large datasets to identify trends and provide actionable information for client decision-making.
  • Communicate technical solutions and project updates to non-technical audiences and leadership.
  • Manage the end-to-end development of analytics systems within classified environments.

What we're looking for

  • Bachelor's degree in a STEM field such as computer science, data science, mathematics, statistics, or engineering.
  • Secret clearance is required.
  • 3+ years of experience in software development, data science, or data engineering based on impactful industry-oriented work.
  • 2+ years of experience utilizing Python for data related work with libraries like NumPy, pandas, matplotlib, and PySpark.
  • 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 audiences including leadership.
  • Experience breaking down complex problems into technical solutions based on customer requirements while following SDLC best practices.
  • Experience with distributed data tools, cloud environments (AWS), Generative AI, React/Angular, or TypeScript (preferred); Master's degree (preferred).

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