Data Engineer

Booz Allen Hamilton

Confirmed live yesterday Trusted

Quick summary

Work type: On-site
Location: Chantilly, VAAurora, CO
Salary: $62,000–$141,000 / yr
Posted: 20 days ago
Freshness: Confirmed live yesterday
Nearby: 99+ roles within 25 mi

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $170k

This role $102k

$44k most similar roles pay here $229k

This role pays less than 92% of similar roles. Most pay $129,624–$211,200 — the shaded band above. At the midpoint, this role pays about $102k versus about $170k 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 802 open roles on FindRole.

Listed pay typically runs $86,800–$198,000 across 783 roles with salary data.

Most-posted roles

View all roles at Booz Allen Hamilton

At a glance

TL;DR · Data Engineer

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Data Engineer As a Data Engineer, you will join a multi-disciplinary team of engineers and developers in an agile environment to manage mission-driven projects involving complex data collection. You will be responsible for developing and deploying pipelines and platforms that organize disparate structured and unstructured data into meaningful insights. Your daily work involves designing, implementing, and containerizing end-to-end automated data and machine learning pipelines within a cloud environment. To succeed in this role, you must possess experience in data acquisition, preparation, database architecture, and ETL development using Java, Python, SQL, or Scala. You will utilize AWS services and may work with Kafka tools, NiFi, and infrastructure-as-code tools like Terraform or Ansible. The role focuses on solving problems related to real-time streaming applications and building a robust MLOps ecosystem for high-stakes data integration.

What does a Data Engineer earn in Virginia?

Median $211200 from 85 postings across 6 companies.

See salary data

Skills

Python SQL Java Scala AWS Kafka NiFi Terraform Ansible ETL MLOps Agile Data Pipelines Infrastructure-as-Code

What you'll do

Develop and deploy data pipelines to organize disparate data sources into meaningful information.
Build and maintain ETL processes using Java, Python, SQL, or Scala.
Design and implement end-to-end automated data and machine learning pipelines in cloud environments.
Manage and containerize data infrastructure within an AWS environment.
Develop and maintain MLOps ecosystems based on machine learning lifecycle concepts.
Implement real-time data processing and streaming applications using tools like Kafka or NiFi.
Manage infrastructure as code using tools such as Terraform or Ansible.

What we're looking for

Top Secret clearance.
Experience with data pipelines including acquisition, preparation, and database architecture.
Experience with ETL development using Java, Python, SQL, or Scala.
Experience with AWS services.
Experience designing, containerizing, and deploying end-to-end automated data and ML pipelines in a cloud environment.
Knowledge of the ML lifecycle and concepts to develop an MLOps ecosystem.
Experience with Kafka tools, NiFi, infrastructure-as-code (Terraform/Ansible), Agile, real-time streaming, or advanced problem-solving (preferred).
Bachelor’s degree.

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