Azure Data Engineer
The Opportunity:

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.

You Have:

• 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 If You Have:

• 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

Vetting:

Applicants selected will be subject to a government investigation and may need to meet eligibility requirements of the U.S. government client.

Compensation

At Booz Allen, we celebrate your contributions, provide you with opportunities and choices, and support your total well-being. Our offerings include health, life, disability, financial, and retirement benefits, as well as paid leave, professional development, tuition assistance, work-life programs, and dependent care. Our recognition awards program acknowledges employees for exceptional performance and superior demonstration of our values. 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 that do not meet the threshold are only eligible for select offerings, not inclusive of health benefits. We encourage you to learn more about our total benefits by visiting the Resource page on our Careers site and reviewing Our Employee Benefits page.

Salary at Booz Allen is determined by various factors, including but not limited to location, the individual's particular combination of education, knowledge, skills, competencies, and experience, as well as contract-specific affordability and organizational requirements. The projected compensation range for this position is $62,000.00 to $141,000.00 (annualized USD). The estimate displayed represents the typical salary range for this position and is just one component of Booz Allen's total compensation package for employees. This posting will close within 90 days from the Posting Date.

Identity Statement

As part of the hiring process, we will ask you to complete an identity verification process that leverages advanced biometrics and artificial intelligence to ensure authenticity and protect against identity fraud. You are expected to be on camera during interviews and assessments. We reserve the right to take your picture to verify your identity and prevent fraud.

Candidate AI Usage Policy

AI is a part of our daily work at Booz Allen, and we are committed to the responsible and ethical use of AI tools. However, we want to ensure a fair candidate process based on your own skills and knowledge. As part of this commitment, the use of artificial intelligence (AI) or other tools to assist with responses during interviews (whether in-person or virtual) is prohibited unless permission is explicitly provided.

Work Model
Our people-first culture prioritizes the benefits of collaboration, whether it occurs in person or virtually. To support engagement and effective communication, employees working virtually are generally expected to have their cameras on during meetings.

• Remote: If this position is listed as remote, there may still be occasions when you are required to work in person at a Booz Allen or customer facility.
• Hybrid: If this position is listed as hybrid, you will be expected to work from a Booz Allen facility frequently, in alignment with leadership expectations and the needs of the role. You may also be required to work from or visit a customer facility.
• Onsite: If this position is listed as onsite, work will primarily be performed at a Booz Allen office or customer facility, where employees will collaborate directly with colleagues and customers as required by the role.