Data Engineer

About the role

As a Data Engineer at Booz Allen, you'll play a crucial role in organizing and making disparate data available and meaningful across various mission-driven projects. You'll work closely with a multi-disciplinary team to design, develop, and deploy end-to-end automated data and ML pipelines within a cloud environment.

Responsibilities

• Implement data engineering activities on complex projects involving structured and unstructured data.
• Develop and maintain data pipelines, focusing on data acquisition, data preparation, and database architecture.
• Write ETL scripts using Java, Python, SQL, or Scala to transform data from various sources.
• Design, build, and manage data storage solutions, including databases like PostgreSQL.
• Deploy and operate data processing systems using AWS services.
• Collaborate with data consumers and other stakeholders to understand business needs and translate them into technical solutions.
• Participate in Agile development practices to deliver high-quality data engineering solutions.

Requirements

• Minimum of 3 years of experience with data pipelines, including data acquisition, data prep, and database architecture.
• At least 3 years of experience in ETL development using Java, Python, SQL, or Scala.
• At least 2 years of experience with PostgreSQL or Kafka.
• Experience with AWS services.
• Experience with designing and implementing, containerizing, and deploying end-to-end automated data and ML pipelines within a cloud environment.
• Knowledge of the ML lifecycle and concepts to develop an MLOps ecosystem.
• A Bachelor’s degree in Computer Science, Engineering, or a related field.

Qualifications

• Experience with Kafka ecosystem tools, such as Kafka Connect and Kafka Streams.
• Experience with NiFi.
• Experience with infrastructure-as-code tools, such as Terraform or Ansible.
• Experience with Agile development methodologies.
• Experience working on real-time data and streaming applications.
• Possession of excellent problem-solving and analytical skills.

Skills

• Strong understanding of data engineering principles and best practices.
• Proficiency in scripting languages like Java, Python, SQL, or Scala.
• Experience with cloud platforms such as AWS.
• Knowledge of data warehousing and database management systems.
• Experience with data integration and transformation tools.
• Understanding of machine learning and its application in data engineering.

Benefits

At Booz Allen, we offer a comprehensive benefits package designed to support your total well-being. This includes 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 also acknowledges employees for exceptional performance and superior demonstration of our values.

Pay

The projected compensation range for this position is $77,600.00 to $176,000.00 (annualized USD).

Schedule

This position offers a flexible schedule, with options for remote, hybrid, or onsite work depending on the role and customer requirements.