Data Engineer

Booz Allen Hamilton • Albuquerque, NM

1d

About The Position

As a Data Engineer, you will work with developers and a multidisciplinary team to gather client requirements, develop and deploy data solutions using CI/CD, and support mission impact. You will use open-source frameworks to create accessible, maintainable software, build stakeholder relationships, and apply analytical exploration and data examination to design, build, and maintain scalable data platforms. The role includes developing and maintaining database systems, identifying optimization opportunities, and building custom ETL or ELT and CI/CD workflows.

You will collaborate across functions to translate business requirements into technical solutions; implement data governance practices; design, build, test, and maintain scalable data management systems; and integrate and analyze data from varied systems. You will also improve internal processes, automate manual work, optimize data delivery and infrastructure, develop database schemas and data models, and create tools that support analytics and data science teams. The position emphasizes communication, technical growth, consultation, and staying current with industry trends and emerging technologies.

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 data integration and reporting needs.
• Identify and implement internal 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 to help analytics and data science team members build and optimize data products.
• Develop data-centric solutions for the testing and evaluation industry while growing communication and technical skills.
• Stay current with industry trends and emerging technologies and propose strategic improvements.
• Develop and maintain database systems and custom ETL or ELT and CI/CD workflows.
• Assess, design, build, and maintain scalable client data platforms.

Benefits

• Health, life, disability, 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