Data Engineer

Booz Allen Hamilton

Confirmed live yesterday Trusted

Quick summary

Work type: On-site
Location: Chantilly, VA
Salary: $77,600–$176,000 / yr
Posted: 23 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 $127k

$62k most similar roles pay here $227k

This role pays less than 75% of similar roles. Most pay $129,624–$211,200 — the shaded band above. At the midpoint, this role pays about $127k 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.

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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 analysts, developers, and data consumers in an agile environment to build advanced technology solutions for mission-driven projects including fraud detection, cancer research, and national intelligence. You will be responsible for the assessment, design, building, and maintenance of scalable platforms while developing pipelines that organize disparate structured and unstructured data into usable formats. The role requires proficiency in Python, SQL, Scala, or Java to create ETL and ELT workflows. You will utilize version control tools like GitLab, GitHub, or Bitbucket to manage projects. Preferred technical skills include experience with Spark, Databricks, Hadoop, Hive, Kafka, NoSQL databases like MongoDB or Cassandra, and cloud platforms such as AWS, Azure, or Google Cloud. The role requires a TS/SCI clearance with a polygraph.

What does a Data Engineer earn in Virginia?

Median $211200 from 85 postings across 6 companies.

See salary data

Skills

Python SQL Scala Java ETL ELT GitLab GitHub Bitbucket UNIX Linux Shell Scripting AWS Microsoft Azure Google Cloud Spark Databricks Hadoop Hive AWS EMR Kafka MongoDB Cassandra AWS Redshift MySQL Snowflake Agile

What you'll do

Develop and deploy pipelines and platforms to organize disparate data into meaningful insights.
Build scalable ETL and ELT workflows for reporting and analytics.
Create software for retrieving, parsing, and processing both structured and unstructured data.
Develop scripts and programs to convert various data types into usable formats.
Manage the assessment, design, building, and maintenance of scalable platforms for clients.
Support project teams in scaling, monitoring, and operating data platforms.
Perform analytical exploration and data examination to solve mission-critical problems.

What we're looking for

5+ years of experience creating software for retrieving, parsing, and processing structured and unstructured data.
3+ years of experience with Python, SQL, Scala, or Java.
3+ years of experience building scalable ETL and ELT workflows for reporting and analytics.
Experience using version control tools such as GitLab, GitHub, or Bitbucket.
Ability to develop scripts for converting data into usable formats and support the operation of data platforms.
TS/SCI clearance with a polygraph is required.
HS diploma or GED.
Ability to obtain a Security+ Certification within 6 months of start date; Bachelor's degree in Data or IT field (preferred).

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