Data Engineer

About the role

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 an experienced data engineer like you to help our clients find answers in their data to impact important missions.

Responsibilities

• Collaborate with cross-functional teams to understand business requirements and translate them into technical solutions.
• Implement and manage data governance practices, ensuring data quality, security, and compliance.
• Design, construct, install, test, and maintain highly scalable data management systems, ensuring they meet business requirements and industry practices.
• Employ a variety of languages and tools to marry systems together or try to hunt down opportunities to acquire new data from other systems.
• Interpret and analyze data from various source systems to support data integration and data reporting needs.
• Identify, design, and implement internal process improvements, including automating manual processes, optimizing data delivery, and re-designing infrastructure for greater scalability.
• Create data tools for analytics and data scientist team members that assist them in building and optimizing our data products.
• Grow your communication and technical skills by merging consulting and big data to create data-centric solutions across the testing and evaluation industry.
• Stay updated with industry trends and emerging technologies to propose strategic improvements.

Requirements

• 2+ years of experience designing, building, and operating production ETL or ELT pipelines
• 2+ years of experience with DBMS relational databases, including data modeling and schema design
• 2+ years of experience using Python for data processing and automation
• 1+ years of experience with cloud services
• Experience integrating data from RESTful APIs and external data sources
• Experience developing and deploying containerized workloads using Docker
• Experience with workflow orchestration and CI/CD for data workloads
• Experience implementing or contributing to logging, monitoring, alerting, and data validation for production pipelines

Qualifications

• Ability to obtain a Secret clearance
• Bachelor's degree

Skills

• PostgreSQL
• AWS
• Kubernetes
• Terraform, CloudFormation, or CDK
• PySpark or distributed data processing frameworks
• Data quality frameworks or automated testing for data pipelines
• Security and access controls for cloud-based data systems

Benefits

Nice If You Have:

• 2+ years of experience with PostgreSQL
• 1+ years of experience with AWS
• Experience with container orchestration platforms, preferably Kubernetes
• Experience with infrastructure-as-code, including Terraform, CloudFormation, or CDK
• Experience with PySpark or distributed data processing frameworks
• Knowledge of security and access controls for cloud-based data systems

Pay

$61,900.00 to $141,000.00 (annualized USD)

Schedule

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.

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.

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.