Data Engineer, Mid

Booz Allen Hamilton

Confirmed live today Low trust

Quick summary

Work type: On-site
Location: Washington, DC
Employment: Full-time
Posted: 69 days ago
Freshness: Confirmed live today
Nearby: 99+ roles within 25 mi

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Salary context

How this pay compares to similar roles

Similar $159k

$102k $202k

below market most similar roles pay here above market

This listing doesn't post a salary. Most similar roles pay $126,750–$192,162.

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 1662 open roles on FindRole.

Listed pay typically runs $86,800–$198,000 across 904 roles with salary data.

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At a glance

TL;DR · Data Engineer, Mid

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The Data Engineer, Mid joins a multi-disciplinary team of analysts, developers, and data consumers to build advanced technology solutions for mission-driven projects. In this role, you will deploy and develop pipelines and platforms that organize disparate data into meaningful insights. You will manage the assessment, design, building, and maintenance of scalable platforms while performing analytical exploration and data examination. Key responsibilities include retrieving, merging, and analyzing structured and unstructured data from APIs and databases. Required technical skills include Python, R, and SQL, along with experience in Large Language Models, Generative AI, data mining, and statistical analysis. The work involves solving complex problems in domains such as fraud detection, cancer research, and national intelligence by preparing data for AI and machine learning models.

What does a Data Engineer earn?

Median $159000 from 203 postings across 58 companies.

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Skills

Python R SQL Large Language Models Generative AI ETL Data Engineering Machine Learning Data Mining Statistical Analysis APIs Data Architecture Agile Data Analytics

What you'll do

Deploy and develop data pipelines and platforms to organize disparate data sources.
Manage the assessment, design, building, and maintenance of scalable data platforms.
Retrieve, merge, and analyze structured and unstructured data from APIs and databases.
Prepare and process data specifically for use with AI and Generative AI models.
Use Python, R, or SQL to perform data mining and statistical analysis.
Streamline existing workflows by integrating Large Language Models (LLMs) and GenAI.
Evaluate the performance of AI and ML models for client projects.

What we're looking for

TS/SCI clearance with a polygraph is required.
Must have a Bachelor’s degree and 3+ years of experience in data engineering.
Must have 7+ years of experience in data engineering in lieu of a degree.
2+ years of experience with major data science languages such as Python and R.
2+ years of experience retrieving, merging, and analyzing structured and unstructured data sources from APIs and databases through Python, R, or SQL.
Experience with Large Language Models (LLMs) and Generative AI (GenAI).
Experience preparing data for use with AI or GenAI models.
Experience with data analytics, data mining, statistical analysis, or AI and ML.

Data Analyst, Mid

Booz Allen Hamilton

Wharton, NJ 5 days ago $62,000–$141,000

Python SQL Pandas NumPy Power Automate Databricks PySpark ETL ELT API Integration Machine Learning Data Visualization Predictive Modeling Data Pipelines

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