Data Engineer

Booz Allen Hamilton

Confirmed live today Low trust

Quick summary

Work type: On-site
Location: McLean, VAArlington, VAAlexandria, VAWashington, DC
Employment: Full-time
Posted: 48 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 $168k

$116k $218k

below market most similar roles pay here above market

This listing doesn't post a salary. Most similar roles pay $126,800–$208,293.

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

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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 develop and deploy pipelines and platforms that organize disparate structured and unstructured data into meaningful formats for applications like fraud detection and cancer research. Your daily responsibilities include designing, developing, and maintaining scalable data stores and ETL or ELT workflows for reporting and analytics. You will utilize programming languages such as C++, Java, or Python, and may use SQL, Scala, Spark, Databricks, Hadoop, Hive, AWS EMR, Kafka, MongoDB, Cassandra, AWS Redshift, MySQL, Snowflake, and Linux. This role requires a Secret clearance and focuses on solving complex data integration problems within a fast-paced, agile environment.

What does a Data Engineer earn in Virginia?

Median $155450 from 67 postings across 8 companies.

See salary data

Skills

Python Java C++ SQL Scala AWS Microsoft Azure Google Cloud Spark Databricks Hadoop Hive AWS EMR Kafka MongoDB Cassandra AWS Redshift MySQL Snowflake UNIX Linux Shell scripting ETL ELT Agile

What you'll do

Develop and deploy pipelines and platforms to organize disparate data into meaningful insights.
Design, develop, and maintain scalable data stores for big data business analysis.
Create software for retrieving, parsing, and processing structured and unstructured data.
Develop scalable ETL and ELT workflows for reporting and analytics.
Write scripts and programs to convert various data types into usable formats.
Support the scaling, monitoring, and operation of data platforms.
Perform analytical exploration and data examination to support mission-driven projects.

What we're looking for

2+ years of experience utilizing programming languages, including C++, Java, or Python.
2+ years of experience developing and maintaining scalable data stores that supply big data for business analysis.
Experience creating software for retrieving, parsing, and processing structured and unstructured data.
Experience developing scalable ETL and ELT workflows for reporting and analytics.
Experience creating solutions within a collaborative, cross-functional team environment.
Experience with SQL, Scala, public cloud (AWS, Azure, or Google Cloud), or distributed tools like Spark and Hadoop (preferred).
Bachelor’s degree.

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