Azure Data Engineer

Booz Allen Hamilton•McLean, VA

1d•$77,600 - $176,000•Remote

About The Position

Ever-expanding technology like IoT, machine learning, and artificial intelligence means that there is more structured and unstructured data available today than ever before. As a data engineer, you know that organizing data can yield pivotal insights when it is gathered from disparate sources. We need an experienced data engineer like you to help our clients find answers in their data to impact important missions from fraud detection to cancer research, to national intelligence. As a data engineer at Booz Allen, you’ll implement data engineering activities on some of the most mission-driven projects in the industry. You’ll deploy and develop pipelines and platforms that organize and make disparate data meaningful. Here, you’ll work with and guide a multi-disciplinary team of analysts, data engineers, developers, and data consumers in a fast-paced, agile environment. You’ll use your experience in analytical exploration and data examination while you manage the assessment, design, building, and maintenance of scalable platforms for your clients. Work with us to use data for good. Join us. The world can’t wait.

Requirements

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, Azure Data Factory, Logic Apps, Azure Key Vault, ADLS Gen2, or Azure Databricks
Experience building and maintaining resilient ingestion pipelines from multiple sources such as REST APIs, Databases, event streams, and SaaS platforms, including Genesys and SalesForce
Experience with data modeling
Experience designing and implementing scalable Lakehouse architectures in Synapse and Azure Databricks following medallion architecture patterns
Knowledge of monitoring and alerting tools such as Azure Monitor or Dynatrace
Public Trust determination is required.
Associate’s degree

Nice To Haves

Experience with Python, SQL, including T-SQL and Spark SQL, and PySpark
Experience with UNIX or Linux, including basic commands and Shell scripting
Experience with the Microsoft Azure Government cloud, including Microsoft Azure
Experience writing data quality checks for large data sets using custom scripts in Azure Synapse or Azure Databricks
Experience with pipeline monitoring, observability, real-time data, and streaming applications
Experience with Apache Spark performance tuning and query optimization
Experience with Oracle or Oracle Golden Gate
Experience with Dynamics 365 CRM data
Bachelor’s degree in a related field
Azure DE or Databricks Certification

Responsibilities

Implement data engineering activities on mission-driven projects.
Deploy and develop pipelines and platforms that organize and make disparate data meaningful.
Work with and guide a multi-disciplinary team of analysts, data engineers, developers, and data consumers in a fast-paced, agile environment.
Manage the assessment, design, building, and maintenance of scalable platforms for clients.
Mentor junior engineers and contribute to data engineering standards and best practices.