Azure Data Engineer

Booz Allen Hamilton is hiring an Azure Data Engineer to build advanced technology solutions and implement data engineering activities for mission-driven projects. The role develops and deploys data pipelines and platforms and supports the design, development, and maintenance of scalable client platforms.

Responsibilities

• 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

Skills

• 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
• 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

Benefits

• Health, life, disability, financial, and retirement benefits, paid leave, professional development, tuition assistance, work-life programs, and dependent care; full-time and part-time employees working at least 20 hours a week on a regular basis are eligible to participate in Booz Allen’s benefit programs. Individuals who do not meet that threshold are eligible only for select offerings, not including health benefits.
• Recognition awards for exceptional performance and superior demonstration of Booz Allen’s values.

Company Overview

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