Data Engineer

Booz Allen Hamilton

Confirmed live yesterday High trust

Quick summary

Work type
On-site
Location
McLean, VA
Salary
$77,600–$176,000 / yr
Employment
Full-time
Posted
1 day ago
Freshness
Confirmed live yesterday

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $166k
This role $127k
$62k $221k
below market most similar roles pay here above market

This role pays less than 73% of similar roles. Most pay $126,800–$205,250 — the blue band above. At the midpoint, this role pays about $127k versus about $166k 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 1453 open roles on FindRole.

Listed pay typically runs $86,800–$198,000 across 883 roles with salary data.

Most-posted roles

View all roles at Booz Allen Hamilton

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 manage the assessment, design, building, and maintenance of scalable platforms, specifically deploying pipelines that organize disparate data for applications like fraud detection and cancer research. 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, non-relational databases, and scripting languages including Python and SQL. Preferred skills include Pyspark, Spark ecosystems like Databricks or EMR, and GitHub for source code management. This role requires a Bachelor's degree in CS and a TS/SCI clearance with a polygraph to handle complex operational data flows.

What does a Data Engineer earn in Virginia?

Median $157550 from 63 postings across 7 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 data acquisition, preparation, and database architecture.
  • Manage the assessment, design, building, and maintenance of data lake and warehouse solutions.
  • Create software to retrieve, parse, and process both structured and unstructured data.
  • Implement data engineering activities to support AI/ML models and Business Intelligence dashboards.
  • Lead cloud migration and modernization efforts for diverse client projects.
  • Troubleshoot and manage complex operational data flows and non-relational databases.

What we're looking for

  • Bachelor's degree in CS.
  • TS/SCI clearance with a polygraph.
  • 3+ years of experience designing cloud-native data platforms in Amazon Web Services (AWS).
  • 2+ years of experience designing scalable data lake, warehouse, and analytics solutions.
  • 2+ years of experience with cloud migration and modernization efforts.
  • 2+ years of experience with data pipelines, including data acquisition, data prep, and database architecture.
  • Experience with data engineering projects supporting data science, AI/ML implementations, and Business Intelligence dashboards.
  • Experience with non-relational and semi-relational databases.
  • Experience creating software for retrieving, parsing, and processing structured and unstructured data.
  • Experience with team lead functions and creating solutions within a collaborative and cross-functional team environment.
  • Experience with Pyspark and Spark ecosystems such as Databricks and EMR (preferred).
  • Experience evaluating data analytic or science technologies and platforms (preferred).
  • Experience going through an A&A process or leading modifications (preferred).
  • Experience with cloud architecture and evaluating and selecting cloud analytics architectures (preferred).
  • Experience with data marts and data warehouses and creating, managing, and troubleshooting complex operational data flows (preferred).
  • Experience with source code management and integration such as GitHub (preferred).
  • Experience designing, developing, deploying, or testing in AWS (preferred).
  • Experience with scripting languages such as Python and SQL (preferred).
  • Experience with APIs development (preferred).
  • AWS Architecture Certifications such as Solution Architect Certification (preferred).

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