Full-Time

Azure Data Engineer

Posted on 9/15/2026

Deadline 10/30/26
Booz Allen

Booz Allen

10,001+ employees

Global consulting in strategy, technology, engineering

Compensation Overview

$62k - $141k/yr

McLean, VA, USA + 1 more

More locations: Melbourne, FL, USA

Remote

Bachelor's

Category
Data & Analytics (1)
Required Skills
Dynatrace
Microsoft Azure
Python
GitHub Actions
Apache Spark
SQL
Machine Learning
ETL
Data Engineering
Salesforce
Observability
Collibra
REST APIs
Data Modeling
DevOps
Splunk
Databricks

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Requirements
  • At least 3 years of experience building scalable extract, transform, and load or extract, load, and transform pipelines for reporting and analytics using Azure Synapse Analytics or Azure Data Factory and Azure Databricks.
  • At least 3 years of direct development experience with Azure services such as Azure Synapse Analytics, Azure Data Factory, Logic Apps, Azure Key Vault, Azure Data Lake Storage Gen2, and Azure Databricks.
  • Experience building and maintaining resilient ingestion pipelines from REST APIs, databases, event streams, and software-as-a-service platforms such as Genesys and Salesforce.
  • Experience with data modeling.
  • Experience designing and implementing scalable Lakehouse architectures in Synapse and Azure Databricks using medallion architecture patterns.
  • Experience mentoring junior engineers and contributing to data engineering standards and best practices.
  • Knowledge of monitoring and alerting tools such as Azure Monitor or Dynatrace.
  • Ability to obtain and maintain a Public Trust or Suitability/Fitness determination based on client requirements.
  • A Bachelor's degree.
Responsibilities
  • Assess, design, develop, and maintain scalable data platforms for clients.
  • Develop and deploy pipelines and platforms that organize disparate data and make it meaningful.
  • Build scalable extract, transform, and load or extract, load, and transform pipelines for reporting and analytics.
  • Build and maintain resilient ingestion pipelines from varied data sources.
  • Design and implement scalable Lakehouse architectures in Synapse and Azure Databricks using medallion architecture patterns.
  • Work with analysts, data engineers, developers, and data consumers in an agile, multidisciplinary environment.
  • Mentor junior engineers and contribute to data engineering standards and best practices.
Desired Qualifications
  • Experience with Python, PySpark, and SQL, including T-SQL and Spark SQL.
  • Experience building automated testing frameworks to proactively identify data issues.
  • Experience with cloud-based testing tools, including Collibra's Data Quality.
  • Experience with distributed data or computing tools, including Apache Spark and Azure Databricks.
  • Experience writing data quality checks for large data sets using custom scripts in Azure Synapse or Azure Databricks.
  • Experience with observability and pipeline monitoring.
  • Experience working on real-time data and streaming applications.
  • Experience championing continuous integration and continuous delivery practices for data pipeline deployments using Azure DevOps or GitHub Actions.
  • Knowledge of testing best practices and patterns in a cloud environment.
  • Ability to integrate testing protocols into monitoring applications, including Dynatrace or Splunk.

Booz Allen Hamilton helps government agencies, corporations, and non-profits solve complex technical and strategic problems through strategy, technology, and engineering consulting. Its strengths include cybersecurity, data analytics, and digital transformation for defense, intelligence, and civil sectors. It delivers services via long-term contracts, project-based work, and recurring engagements, blending domain expertise with advanced tech. Its goal is to help clients anticipate threats, optimize operations, and transform organizations in a collaborative, inclusive environment.

Company Size

10,001+

Company Stage

IPO

Headquarters

McLean, Virginia

Founded

1914

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Simplify Jobs

Simplify's Take

What believers are saying

  • Q2 fiscal 2026 backlog hit $40 billion; book-to-bill reached 1.7x.
  • August 24, 2026 Ultra acquisition strengthens defense technology and can lift margins.
  • Cyber and national security revenue grew despite civil weakness in Q2 fiscal 2026.

What critics are saying

  • Q2 fiscal 2026 revenue fell 8.1%; civil demand stayed delayed.
  • 2025 layoffs cut 2,500 jobs, signaling further civil restructuring into 2027.
  • If federal agencies shift to in-house AI tools, Booz Allen’s consulting model erodes.

What makes Booz Allen unique

  • Aug. 24, 2026: Ultra Mission Solutions adds encrypted edge-compute and defense software.
  • Booz Allen’s Vellox suite targets autonomous intrusions with deception defenses.
  • Its $40 billion backlog and national-security focus outlast civil procurement swings.

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Benefits

Health Insurance

Life Insurance

Disability Insurance

401(k) Retirement Plan

Paid Vacation

Professional Development Budget

Remote Work Options

Flexible Work Hours

Growth & Insights and Company News

Headcount

6 month growth

0%

1 year growth

0%

2 year growth

0%
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Palantir Technologies, Nvidia, and Booz Allen Hamilton are restricting use of AI models from Anthropic and OpenAI over data protection concerns, Reuters reported. The companies worry model providers could retain or extract value from sensitive corporate information. Palantir has pressed Anthropic for zero data retention guarantees. Nvidia limits Anthropic's models to less sensitive tasks, favouring its own Nemotron models for proprietary work. Booz Allen has banned staff from using Anthropic's commercial model on cybersecurity projects involving proprietary data. The pushback intensified after Anthropic introduced a 30-day data retention policy in June for its Claude 3.5 model, citing security monitoring needs. Anthropic responded by launching Enterprise Frontier Safeguards, allowing customers to store activity data in their own cloud infrastructure under their encryption keys.

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Security companies are scrambling to build products that can monitor not just agents but also the tools and add-ons they use.

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HiddenLayer, an AI security company, has raised $100 million in Series B funding led by Delta-v Capital. Participants include Ten Eleven Ventures, Morgan Stanley, M12, and Booz Allen Ventures. The Austin-based firm secures agentic, generative, and predictive AI applications. It will use the capital to expand its enterprise platform, including Agentic Runtime Security and Agent Harness Security, which protects autonomous coding agents at runtime. HiddenLayer's annual recurring revenue grew more than tenfold, and it signed over 50 new platform customers across sectors including banking, pharmaceuticals, and US defence. The company supports a frontier model provider serving more than 700 million weekly users. HiddenLayer's research team holds 39 granted patents and 65 pending patents in adversarial detection and model protection. The firm recently appointed Mike Gesnaldo as chief revenue officer.

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Booz Allen unveils Counter AI defence tool as frontier models achieve fully autonomous network intrusion

Booz Allen Hamilton has released a threat report revealing that advanced AI models can now autonomously execute complete network intrusions without human guidance. The firm tested 18 US and Chinese AI models through its Cyber Weapon Index. The report warns that sophisticated cyberattacks are becoming more accessible as costs and expertise requirements decline. Booz Allen found that coordinated Counter AI defences reduced autonomous attacker success by more than 95% in testing. To address these threats, the company launched Vellox Labs Guile, a Counter AI product designed to disrupt autonomous attacks by manipulating what AI attackers see and trust. The system adapts in real time using frontier AI models to evolve its defences against emerging threats. The report emphasises that entire AI systems, not just individual models, now represent the primary unit of cybersecurity risk.