Data Engineer

Booz Allen Hamilton

Confirmed live yesterday Trusted

Quick summary

Work type: On-site
Location: McLean, VAArlington, VAAlexandria, VAWashington, DC
Salary: $62,000–$141,000 / yr
Posted: 22 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

Role Posting Log in to save

Data Engineer As a Data Engineer, you will join a multi-disciplinary team of analysts and developers in an agile environment to build advanced technology solutions for mission-driven projects like fraud detection and cancer research. You will be responsible for developing and deploying pipelines and platforms that organize disparate structured and unstructured data into meaningful formats. Your daily work involves designing, developing, and maintaining scalable platforms while creating software for retrieving, parsing, and processing data. The role requires proficiency in programming languages such as C++, Java, or Python, along with experience in ETL/ELT workflows. Preferred skills include SQL, Scala, Spark, Databricks, Hadoop, Hive, Kafka, and NoSQL databases like MongoDB or Cassandra. You will also utilize tools like AWS Redshift, Snowflake, and Linux shell scripting to manage data for critical national intelligence and research applications.

What does a Data Engineer earn in Virginia?

Median $211200 from 85 postings across 6 companies.

See salary data

Skills

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

What you'll do

Develop and deploy pipelines and platforms to organize disparate data into meaningful insights.
Build and maintain scalable data stores that supply big data for business analysis.
Create software for retrieving, parsing, and processing both structured and unstructured data.
Develop scalable ETL and ELT workflows to support reporting and analytics.
Write scripts and programs to convert various data types into usable formats.
Scale, monitor, and operate data platforms to ensure consistent performance.
Support the assessment, design, development, and maintenance of scalable data platforms.

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 for big data 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.
Ability to develop scripts for converting data into usable formats and support the operation of data platforms.
Experience with SQL/Scala, public cloud (AWS, Azure, Google), distributed tools (Spark, Databricks, Hadoop), or NoSQL (MongoDB, Cassandra) (preferred); TS/SCI clearance with a polygraph (preferred).
Bachelor’s degree.