This role pays less than
91%
of similar roles. Most pay
$126,800–$203,350
— the shaded band above.
At the midpoint, this role pays about
$102k
versus about
$165k
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
1156 open roles
on FindRole.
Listed pay typically runs
$86,800–$198,000
across 802 roles with salary data.
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. You will be responsible for the assessment, design, development, and maintenance of scalable platforms while developing and deploying pipelines that organize disparate data into meaningful insights. The role involves managing ETL operations and performing analytical exploration to solve complex problems such as fraud detection and cancer research. Required technical skills include Python programming, SQL or GraphQL for relational and non-relational databases, and automation on Linux or Windows systems. You will utilize tools like Git or Atlassian for source control. Preferred experience includes AWS, Databricks, Apache Spark, Terraform, and CloudFormation to manage batch and stream analytics pipelines within the context of DoD information systems.
What does a Data Engineer earn in Virginia?
Median $155450 from 57 postings across 7 companies.
Develop and deploy data pipelines and platforms to organize disparate data sources.
Perform ETL operations to process and integrate information from various systems.
Design, develop, and maintain scalable data platforms for diverse client missions.
Write software and scripts using Python and other programming languages.
Manage and query relational and non-relational databases using SQL or GraphQL.
Automate processes and perform scripting on Linux or Windows operating systems.
Deploy large-scale batch and stream analytics pipelines to provide actionable insights.
Present complex technical information to both technical and non-technical audiences.
What we're looking for
2+ years of experience in data engineering, pipeline development, data science, data analytics, machine learning, or software engineering.
Experience with ETL operations.
Experience with source control and collaboration tools like Git or Atlassian.
Experience writing software in programming languages including Python.
Knowledge of relational/non-relational databases (SQL or GraphQL) and automation on Linux or Windows.
Advanced qualifications include a Master's degree, Cloud or Information Security certifications, and experience with Spark, Terraform, or DoD systems (preferred).