Guidehouse is looking to solve data engineering and architecture problems to improve data infrastructure and support the Office of Head Start
Requirements
- 2 years direct experience with data engineering support to the Office of Head Start
- 3 years of experience with analytics development including Python
- Experience managing data product development at enterprise scale, including on cloud platforms AWS and Azure, using GenAI resources
- Experience working with code repositories and continuous integration (i.e. Git, Jenkins, etc.)
- 3+ years of database experience, including SQL and noSQL
- Experience with data engineering tools and technologies such as Azure OpenAI
- Experience with cloud-based data platforms such as Azure and AWS
Responsibilities
- Design, develop, and maintain robust, scalable, and efficient data pipelines and ETL/ELT processes
- Lead and execute data engineering projects from inception to completion, ensuring timely delivery and high quality
- Build and optimize data architectures for operational and analytical purposes
- Collaborate with cross-functional teams to gather and define data requirements
- Implement data quality, data governance, and data security practices
- Manage and optimize cloud-based data platforms (Azure/AWS)
- Develop and maintain Python libraries for data ingestion, processing and integration with both internal and external data sources
Other
- Minimum THREE (3) years of experience
- US Citizenship is contractually required for this role
- Minimum Education: Bachelor’s degree in Statistics, Mathematics, Computer Science, Information Systems, Engineering, Economics, or similar quantitative discipline
- Ability to Obtain Public Trust
- Up to 10% travel required
