Data Engineer

Booz Allen Hamilton•Albuquerque, NM

23d•$61,900 - $141,000•Remote

About The Position

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.

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
Ability to obtain a Secret clearance
Bachelor's degree

Nice To Haves

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

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.
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.