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Data Engineer
| Company | Booz Allen |
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| Location | Albuquerque, NM, USA |
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| Salary | $61900 – $141000 |
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| Type | Full-Time |
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| Degrees | Bachelor’s |
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| Experience Level | Junior, Mid Level |
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Requirements
- 2+ years of experience using programming languages such as Python
- 2+ years of experience working with databases and data modeling and developing and maintaining scalable data stores that supply big data in forms needed for business analysis
- Experience with SQL and relational and NoSQL databases, and Python and SQL-based transformation frameworks
- Experience with data modeling techniques such as normalized vs. denormalized models and various schemas
- Experience developing scalable ETL or ELT workflows for reporting and analytics
- Experience with a public cloud such as AWS, Microsoft Azure, or Google Cloud
- Knowledge of data cataloging, metadata management, and lineage tracking
- Ability to develop scripts and programs for converting various types of data into usable formats and support project team to scale, monitor, and operate data platforms
- Ability to obtain a Secret clearance
- Bachelor’s degree
Responsibilities
- Apply your skills and data analytics experience by simplifying technical requirements and trends, based on audience.
- Utilize your technical expertise and problem-solving skills to build and maintain robust data infrastructure.
- 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, or re-designing infrastructure for greater scalability.
- Develop analytics tools that utilize the data pipeline to provide actionable insights into customer acquisition, operational efficiency, and other key business performance metrics.
- 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 big data to create data-centric solutions across the testing and evaluation industry.
Preferred Qualifications
- Experience with data versioning and change management processes
- Experience in developmental or operational test and evaluation
- Experience designing, building, and maintaining scalable data models that support analytical and operational use cases
- Experience with UNIX and Linux, including basic commands and Shell scripting, and AWS ETL services such as Glue or Lambda
- Experience with data warehousing and relational database solutions using AWS RDS, AWS Redshift, or MySQL
- Experience building self-service data platforms for analysts and business users
- Experience with version control systems such as Git
- Experience with Agile engineering practices
- Secret clearance
- CDMP or equivalent Data Governance and Management Certification
