Data Engineer

Booz Allen Hamilton

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Quick summary

Work type: On-site
Location: Arlington, VASan Diego, CA
Employment: Full-time
Posted: 1 day 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 $165k

$117k $214k

below market most similar roles pay here above market

This listing doesn't post a salary. Most similar roles pay $126,800–$202,800.

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 1504 open roles on FindRole.

Listed pay typically runs $86,800–$198,000 across 918 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 be responsible for the assessment, design, development, and maintenance of scalable platforms, specifically developing and deploying pipelines that organize disparate data into meaningful insights. Your daily work involves analytical exploration and data examination to solve problems in areas such as fraud detection, cancer research, and national intelligence. You will utilize Python, SQL, and GraphQL while working with relational and non-relational database technologies. Required skills include experience with Git, Linux or Windows automation, and source control. Preferred expertise includes AWS EMR, Redshift, Databricks, Apache Spark, and infrastructure as code tools like Terraform or CloudFormation.

What does a Data Engineer earn in Virginia?

Median $155450 from 66 postings across 8 companies.

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Skills

Python SQL GraphQL AWS Databricks Apache Spark Terraform CloudFormation ETL Machine Learning Git Linux Windows Redshift SageMaker NVIDIA CUDA PaaS SaaS

What you'll do

Develop and deploy data pipelines and platforms to organize disparate data sources.
Support the assessment, design, development, and maintenance of scalable data platforms.
Perform analytical exploration and data examination to provide actionable insights.
Implement data engineering activities for mission-driven projects like fraud detection and research.
Write software and scripts using Python and SQL or GraphQL.
Manage and automate tasks on Linux or Windows operating systems.
Deploy analytics workloads on PaaS and SaaS platforms like AWS or Databricks.
Develop and deploy large-scale batch and stream analytics pipelines.

What we're looking for

1+ years of experience with data engineering, pipeline development, data science, data analytics, machine learning, or software engineering.
Experience with source control and collaboration software, including Git or Atlassian tools.
Experience writing software in programming languages, including Python.
Knowledge of relational and non-relational database technologies, including SQL or GraphQL.
Knowledge of automation and scripting on Linux or Windows operating systems.
Experience with PaaS/SaaS platforms, ETL, distributed frameworks, infrastructure as code, or DoD systems (preferred).
Bachelor's degree.

Data Engineer

Booz Allen Hamilton

Arlington, VA +1 74 days ago

Python SQL GraphQL ETL Apache Spark AWS Redshift SageMaker Databricks Terraform CloudFormation Git Linux Windows NVIDIA CUDA PaaS SaaS Machine Learning

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