Data Engineer

Booz Allen Hamilton•Albuquerque, NM

3d•$61,900 - $141,000

About The Position

As a Data Engineer, you will work with developers and multidisciplinary teams to organize data from disparate sources and support mission impact. You will participate in the full development lifecycle, including gathering client requirements, developing solutions, and deploying them with CI/CD. The role involves using open-source frameworks to build accessible, maintainable software and collaborating with stakeholders who benefit from the work. You will assess, design, build, and maintain scalable data platforms; help develop and maintain database systems; identify opportunities to optimize data processes; and build custom ETL or ELT and CI/CD workflows. You will also support data governance, data quality, security, compliance, analytics, and reporting needs. Applicants must be able to obtain a Secret clearance. Booz Allen provides a compensation and benefits package that includes health, life, disability, financial, and retirement benefits, paid leave, professional development, tuition assistance, work-life programs, dependent care, and recognition awards. The projected annualized compensation range is $61,900 to $141,000.

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 connect 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, including automation of manual processes, optimization of data delivery, and infrastructure redesign 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 by combining consultation and big data to create data-centric solutions for the testing and evaluation industry.
Stay current with industry trends and emerging technologies and propose strategic improvements.
Participate in the development lifecycle, including client requirements gathering, development, and CI/CD deployment.
Help develop and maintain database systems and build custom ETL or ELT and CI/CD workflows.