Azure Data Engineer

Booz Allen Hamilton; McLean (VA); Hybrid; USD 62,000 - 141,000; Full time

Job summary

Booz Allen Hamilton is seeking a Data Engineer to help design and implement scalable data pipelines across diverse data sources for mission-driven work. You will build and deploy ETL/ELT pipelines using Azure Synapse Analytics, Azure Data Factory, and Azure Databricks, while collaborating with analysts, developers, and data consumers to ensure data quality and accessibility.

Strong mentoring and documentation skills are valued as you help establish engineering standards and best practices within

Qualifications

• 3+ years of experience building scalable ETL/ELT pipelines for reporting and analytics.
• Experience with Azure Synapse Analytics, Azure Data Factory and Azure Databricks.
• Experience building 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 patterns.
• Experience mentoring junior engineers and contributing to data engineering standards.
• Knowledge of monitoring/alerting tools such as Azure Monitor or Dynatrace.
• Ability to obtain Public Trust or Suitability determination.
• Bachelor’s degree.

Responsibilities

• Help build advanced technology solutions and implement data engineering activities on mission-driven projects.
• Develop and deploy pipelines and platforms that organize disparate data into meaningful insights.
• Collaborate with analysts, developers, and data consumers in an agile environment to design, develop, and maintain scalable data platforms.
• Mentor junior engineers and contribute to data engineering standards and best practices.

Skills

Mentoring

Data modeling

Education

Bachelor’s degree

Tools

Azure Synapse Analytics

Azure Data Factory

Azure Databricks

Logic Apps

Azure Key Vault

ADLS Gen2

REST APIs

Databases

Event streams

Salesforce

Genesys

Azure Monitor

Dynatrace

Azure DevOps

GitHub Actions

Job description

The Opportunity

Ever-expanding technology like IoT, machine learning, and artificial intelligence means that there’s 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’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.

Job Number: R0246063

Azure Data Engineer

The Opportunity

Ever-expanding technology like IoT, machine learning, and artificial intelligence means that there’s 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’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.

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 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

• 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.

Commitment to Non-Discrimination

All qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran or any other status protected by applicable federal, state, local, or international law.