Data Engineer

Booz Allen Hamilton

Confirmed live today High trust

Quick summary

Work type: On-site
Location: Arlington, VA
Employment: Full-time
Posted: 5 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 $169k

$117k $221k

below market most similar roles pay here above market

This listing doesn't post a salary. Most similar roles pay $126,800–$211,200.

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 1781 open roles on FindRole.

Listed pay typically runs $86,800–$198,000 across 898 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 ETL operations, analytical exploration, and data examination to solve problems in areas like fraud detection and cancer research. You will utilize Python, SQL, and GraphQL while working with relational and non-relational databases. Required skills include experience with Git, Linux or Windows automation, and a Secret clearance. Preferred technical proficiencies include AWS services like EMR and Redshift, Apache Spark, Terraform, and distributed programming frameworks.

What does a Data Engineer earn in Virginia?

Median $162000 from 69 postings across 8 companies.

See salary data

Skills

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

What you'll do

Develop and deploy data pipelines and platforms to organize disparate data sources.
Implement data engineering activities for mission-driven projects like fraud detection and research.
Support the assessment, design, development, and maintenance of scalable data platforms.
Perform ETL operations to transform and move data across systems.
Write software and scripts using programming languages like Python.
Manage and query relational and non-relational databases using SQL or GraphQL.
Execute automation and scripting tasks on Linux or Windows operating systems.
Deploy large-scale batch and stream analytics pipelines.

What we're looking for

Experience with data engineering, pipeline development, data science, data analytics, machine learning, or software engineering.
Experience with ETL operations.
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 deploying analytics workloads on PaaS and SaaS platforms like AWS, Redshift, or Databricks (preferred).
Secret clearance.

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