Azure Data Engineer: Data Pipelines & Lakehouse Architect

Phase2 Technology; Melbourne (FL); On-site; USD 62,000 - 141,000; Full time

Job summary

Booz Allen is seeking an Azure Data Engineer to build and deploy scalable ETL/ELT pipelines using Azure Synapse, Data Factory, and Databricks. You will ingest data from REST APIs, databases, and SaaS sources, model data, and implement lakehouse architectures in a fast-paced, agile setting.

You will mentor junior engineers, contribute to standards, and implement monitoring and data quality controls to ensure reliable analytics across mission-driven projects.

Qualifications

• 3+ years of experience building scalable ETL or ELT pipelines for reporting and analytics using Azure Synapse Analytics or Azure Data Factory and Azure Databricks
• 3+ years of experience with direct development using Azure services such as Azure Synapse Analytics or Azure Data Factory, Logic Apps, Azure Key Vault, ADLS Gen2, and Azure Databricks
• Experience building and maintaining resilient ingestion pipelines from REST APIs, databases, event streams, and SaaS platforms like Genesys and Salesforce
• Experience with data modeling
• Experience designing scalable Lakehouse architectures in Synapse and Azure Databricks following 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
• Bachelor's degree

Responsibilities

• Build and deploy data pipelines and platforms to organize and make disparate data meaningful
• Collaborate with multi-disciplinary teams including analysts, developers, and data consumers in an agile environment
• Support assessment, design, development, and maintenance of scalable data engineering platforms
• Mentor junior engineers and contribute to data engineering standards and best practices
• Implement monitoring and alerting for data pipelines and data quality checks

Skills

ETL pipelines

Azure Synapse

Azure Data Factory

Azure Databricks

REST APIs

Data modeling

Lakehouse architecture

Mentoring

Monitoring & alerting

Education

Bachelor's degree

Tools

Azure Monitor

Dynatrace

Collibra Data Quality

Apache Spark

Azure Databricks

GitHub Actions

Azure DevOps

Python

PySpark

SQL

T-SQL

Spark SQL

Job description

Booz Allen is seeking an Azure Data Engineer to build and deploy scalable ETL/ELT pipelines using Azure Synapse, Data Factory, and Databricks. You will ingest data from REST APIs, databases, and SaaS sources, model data, and implement lakehouse architectures in a fast-paced, agile setting.

You will mentor junior engineers, contribute to standards, and implement monitoring and data quality controls to ensure reliable analytics across mission-driven projects.