Software Data Engineer

Booz Allen Hamilton

Confirmed live yesterday High trust

Quick summary

Work type: On-site
Location: Honolulu, HI
Salary: $77,600–$176,000 / yr
Employment: Full-time
Posted: 10 days ago
Freshness: Confirmed live yesterday
Nearby: 79 roles within 25 mi

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $151k

This role $127k

$65k $198k

below market most similar roles pay here above market

This role pays less than 61% of similar roles. Most pay $117,396–$185,141 — the blue band above. At the midpoint, this role pays about $127k versus about $151k 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 1662 open roles on FindRole.

Listed pay typically runs $86,800–$198,000 across 904 roles with salary data.

Most-posted roles

View all roles at Booz Allen Hamilton

At a glance

TL;DR · Software Data Engineer

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JOB TITLE: Software Data Engineer As a Software Data Engineer, you will join a team dedicated to building advanced technology solutions and implementing data engineering activities for mission-driven projects. You will deploy and develop pipelines and platforms that organize disparate data to make it meaningful for critical applications such as fraud detection, cancer research, and national intelligence. Your daily responsibilities include designing and maintaining ETL and ELT pipelines across distributed compute platforms while managing data governance, strategy, and visualization. You will utilize specific technologies including Databricks, PySpark, Delta Live Tables, Unity Catalog, Palantir Foundry, and Maven Smart System. The role requires integrating and transforming data within these environments to modernize data ecosystems for Department of Defense and national security-related missions while collaborating in a cross-functional team.

Skills

Databricks Palantir Foundry Maven Smart System PySpark Delta Live Tables Unity Catalog ETL ELT Data Engineering Data Governance Data Visualization Agile Fabric Machine Learning IoT Artificial Intelligence

What you'll do

Build and deploy data pipelines and platforms to organize disparate data sources.
Develop data engineering solutions using Databricks, PySpark, Delta Live Tables, or Unity Catalog.
Integrate and transform data within Palantir Foundry or Maven Smart System (MSS) environments.
Design and maintain ETL and ELT pipelines across distributed compute platforms.
Manage data governance, data strategy, and data management protocols.
Migrate legacy ETL logic into modern cloud platforms like Databricks, Foundry, or Fabric.
Create business analytic visualizations to synthesize results for stakeholders.

What we're looking for

2+ years of experience building data pipelines in Databricks, including PySpark, Delta Live Tables, or Unity Catalog.
Experience integrating and transforming data within Palantir Foundry or Maven Smart System (MSS) environments.
Experience designing and maintaining ETL and ELT pipelines across distributed compute platforms.
Experience analyzing and managing data, including data visualization, data management, data governance, data strategy, and data engineering.
Experience creating solutions within a collaborative, cross-functional team environment.
Experience with Top Secret clearance (preferred).
Bachelor's degree.

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