Data Engineer, Senior

Booz Allen Hamilton

Confirmed live yesterday Low trust

Quick summary

Work type
On-site
Location
Riverdale, MD
Salary
$77,600–$176,000 / yr
Employment
Full-time
Posted
49 days ago
Freshness
Confirmed live yesterday

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $160k
This role $127k
$62k $219k
below market most similar roles pay here above market

This role pays less than 75% of similar roles. Most pay $126,800–$192,500 — the blue band above. At the midpoint, this role pays about $127k versus about $160k 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 1781 open roles on FindRole.

Listed pay typically runs $86,800–$198,000 across 898 roles with salary data.

Most-posted roles

View all roles at Booz Allen Hamilton

At a glance

TL;DR · Data Engineer, Senior

JOB TITLE: Data Engineer, Senior The Data Engineer, Senior joins a multi-disciplinary team of analysts, developers, and data consumers to build advanced technology solutions for mission-driven projects. You will manage the assessment, design, building, and maintenance of scalable platforms while deploying pipelines that organize disparate data into meaningful insights. Your daily work involves data acquisition, preparation, and database architecture to support data science, AI/ML implementations, and Business Intelligence dashboards. You will utilize Amazon Web Services, Python, SQL, and non-relational databases to process structured and unstructured data. Key technical skills include experience with Pyspark, Spark ecosystems like Databricks or EMR, and API development. This role solves complex data problems in domains such as fraud detection, cancer research, and national intelligence by modernizing cloud-native data platforms.

What does a Data Engineer earn?

Median $160500 from 198 postings across 59 companies.

See salary data

What you'll do

  • Design and build scalable, cloud-native data platforms using Amazon Web Services (AWS).
  • Develop and deploy data pipelines for acquisition, preparation, and processing of structured and unstructured data.
  • Manage the assessment, design, building, and maintenance of complex operational data flows.
  • Create software and APIs for retrieving, parsing, and processing data from disparate sources.
  • Support data science, AI/ML implementations, and Business Intelligence dashboard requirements.
  • Lead and guide multi-disciplinary teams of analysts, developers, and data consumers.
  • Execute cloud migration and modernization efforts for client data systems.
  • Troubleshoot and manage data marts, data warehouses, and non-relational databases.

What we're looking for

  • TS/SCI clearance with a polygraph is required.
  • Bachelor's degree and 8+ years of experience in all-source analysis are required.
  • 18+ years of experience in all-source analysis is required in lieu of a degree.
  • Experience designing cloud-native data platforms in Amazon Web Services (AWS) is required.
  • Experience with cloud migration, modernization, and data pipelines is required.
  • Experience with non-relational and semi-relational databases is required.
  • Experience with team lead functions in a collaborative and cross-functional environment is required.
  • Experience with Pyspark, Spark ecosystems, Python, SQL, and AWS certifications (preferred).

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