Azure Data Engineer

Booz Allen Hamilton•McLean, VA

1d•$62,000 - $141,000•Hybrid

About The Position

As a data engineer, you know that organizing data can yield pivotal insights when it’s gathered from disparate sources. We need a data professional 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 use your skills and experience to help build advanced technology solutions and implement data engineering activities on some of the most mission-driven projects in the industry. You’ll develop and deploy the pipelines and platforms that organize and make disparate data meaningful. Here, you’ll work with a multi-disciplinary team of analysts, data engineers, developers, and data consumers in a fast-paced, agile environment. You’ll sharpen your skills in analytical exploration and data examination while you support the assessment, design, development, 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 or Azure Data Factory, Logic Apps, Azure Key Vault, ADLS Gen2, and Azure Databricks
Experience building and maintaining resilient ingestion pipelines from various sources, including REST APIs, databases, event streams, and SaaS platforms such as Genesys and SalesForce
Experience with data modeling
Experience designing and implementing 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 based on client requirements
Bachelor’s degree

Nice To Haves

Experience with Python, PySpark, and SQL, including T-SQL and Spark SQL
Experience building automated testing frameworks that can be used to proactively catch 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 either Azure Synapse or Azure Databricks
Experience with observability and pipeline monitoring
Experience working on real-time data and streaming applications
Experience championing CI/CD practices for data pipelines deployments using Azure DevOps or GitHub Actions
Knowledge of best testing practices and patterns in a Cloud environment
Ability to integrate testing protocols into monitoring applications, including Dynatrace or Splunk

Responsibilities

Develop and deploy the pipelines and platforms that organize and make disparate data meaningful.
Work with a multi-disciplinary team of analysts, data engineers, developers, and data consumers in a fast-paced, agile environment.
Support the assessment, design, development, and maintenance of scalable platforms for clients.