Senior Data Engineer

Booz Allen Hamilton

Confirmed live yesterday High trust

Quick summary

Work type: On-site
Location: Arlington, VA
Employment: Full-time
Posted: 15 days ago
Freshness: Confirmed live yesterday
Nearby: 99+ roles within 25 mi

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Salary context

How this pay compares to similar roles

Similar $168k

$110k most similar roles pay here $218k

This listing doesn't post a salary. Most similar roles pay $140,000–$196,200.

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 1156 open roles on FindRole.

Listed pay typically runs $86,800–$198,000 across 802 roles with salary data.

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At a glance

TL;DR · Senior Data Engineer

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The Data Engineer, Senior joins the team to develop and maintain scalable data pipelines and infrastructure intended to supply data for business analysis. This role involves providing technical oversight and architectural guidance for data ingestion and processing while ensuring compliance with organizational standards and governance frameworks. The individual will act as a technical liaison between engineering teams and stakeholders to ensure requirements are met. Responsibilities include the supervision and development of first-level supervisors and managers. Key technologies and tools include Python, Databricks environments, Advana, or War Data Platform, along with data catalog management and metadata tools for lineage and discoverability. The role requires a Secret clearance and focuses on solving complex problems related to high-performance data infrastructure and the technical alignment of data engineering solutions without requiring hands-on coding.

What does a Data Engineer earn in Virginia?

Median $155450 from 57 postings across 7 companies.

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Skills

Python Databricks Advana War Data Platform Data Pipelines Data Infrastructure Data Catalog Management Metadata Tools Data Lineage Data Ingestion

What you'll do

Develop and maintain scalable data pipelines and infrastructure to support business analysis.
Provide technical oversight and architectural guidance for data ingestion and processing pipelines.
Supervise and develop first-level supervisors and managers.
Manage data cataloging and metadata tools to ensure data lineage and discoverability.
Evaluate, validate, and communicate complex technical solutions in data engineering.
Act as a technical liaison between engineering teams, delivery managers, and stakeholders.
Ensure all data infrastructure complies with organizational standards and governance frameworks.

What we're looking for

Secret clearance is required.
A Bachelor's degree and experience with data ingest and pipelines are required, or experience without a degree.
Experience designing, constructing, and optimizing scalable, high-performance data pipelines and infrastructure.
Experience providing technical oversight and architectural direction for data engineering projects.
Experience supervising and developing first-level supervisors and managers.
Experience with Advana or War Data Platform.
Experience with Python and Databricks environments.
Knowledge of data catalog management and metadata tools for maintaining data lineage and discoverability.

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