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.

As a Data Engineer on our team, you’ll implement data engineering activities and strategy on some of the most mission-driven projects in the industry. You’ll design, deploy, and develop pipelines and platforms that organize and make disparate data meaningful.

Here, you’ll work with a multi-disciplinary team of data analysts, engineers, scientists, electrical engineers, test engineers, software developers, and data consumers in a fast-paced, agile environment. You’ll use your experience in analytical exploration and data examination while you help assess, design, build, and maintain scalable data platforms for your clients. You will be responsible for helping develop and maintain database systems, continually seeking opportunities to optimize the organization's data ecosystem, and building custom ETL and ELT workflows as necessary to address critical analytical questions.

What You’ll Work On:

• 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.

• Develop and optimize database schemas and data models to support analytics and reporting.

• 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.

Join us. The world can’t wait.

You Have:

• 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

• Ability to obtain a Secret clearance

• Bachelor's degree

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

• Experience with data quality frameworks or automated testing for data pipelines

• Knowledge of security and access controls for cloud-based data systems

• Secret clearance

Clearance:

Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information.

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.