Data Engineer

Booz Allen Hamilton • Albuquerque, NM

2d • $61,900 - $141,000

About The Position

The Data Engineer works with a team of developers and multidisciplinary colleagues to deliver data-centric solutions, participating in the full development lifecycle from gathering client requirements through development and deployment with CI/CD. The role uses open-source frameworks and analytical exploration to assess, design, build, and maintain scalable data platforms, database systems, and custom ETL or ELT and CI/CD workflows. It also involves working with stakeholders and supporting mission impact across the testing and evaluation industry.

Requirements

• At least 2 years of experience designing, building, and operating production ETL or ELT pipelines.
• At least 2 years of experience with relational databases such as PostgreSQL, including data modeling and schema design.
• At least 2 years of experience using Python for data processing and automation.
• At least 1 year of experience with cloud services such as AWS.
• Experience integrating data from RESTful APIs and external data sources.
• 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 To Haves

• Experience with container orchestration platforms such as Docker.
• 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.

Responsibilities

• Collaborate with cross-functional teams to understand business requirements and translate them into technical solutions.
• Implement and manage data governance practices to ensure data quality, security, and compliance.
• Design, construct, install, test, and maintain scalable data management systems that meet business requirements and industry practices.
• Use languages and tools to integrate systems and identify opportunities to acquire data from other systems.
• Interpret and analyze data from source systems to support integration and reporting needs.
• Identify and implement process improvements, automate manual processes, optimize data delivery, and redesign infrastructure for scalability.
• Develop and optimize database schemas and data models for analytics and reporting.
• Create data tools that help analytics and data science team members build and optimize data products.
• Develop communication and technical skills while creating data-centric solutions for the testing and evaluation industry.
• Stay current with industry trends and emerging technologies and propose improvements.
• Develop and maintain database systems and custom ETL or ELT and CI/CD workflows.

Benefits

• Health, life, and disability benefits.
• Financial and retirement benefits.
• Paid leave.
• Professional development.
• Tuition assistance.
• Work-life programs.
• Dependent care.
• Recognition awards for exceptional performance and demonstration of company values.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level