Data Engineer

DATA ENGINEER

The Education Analytics practice is looking for an experienced data engineer with the ability to own the data lifecycle from sourcing through consumption. Our team members are dynamic and able to wear many hats, and this person will need to leverage their breadth of experience within data analysis and engineering.

This role will split time between core product development and consulting projects, where custom data solutions are developed for both K-12 and higher education institutions.

You Will:

• Source complex data, manage, and prepare it for consumption into PowerBI visualizations for K-12 & Higher-Ed data products, including early warnings, live progress monitoring, and graduation & school-grade predictors.
• Be comfortable across the data lifecycle and be able to jump into tasks related to front-end prototyping and dashboard development as needed.
• Contribute to data architecture and strategy for our core education analytics product development. Build for the scalability of a turnkey solution.
• Engineer custom data solutions for specific consulting clients, including contributing to data architecture and management. Work with cross-functional client stakeholders to gather, analyze, and understand user requirements.
• Act as a liaison to client stakeholders for the models, analysis, or reports created; understand the impact of specific drivers and provide insights. Continually refine models and/or reports and analyze results.
• Utilize a core management consulting skill set including business analysis, project management, and process analysis.
• Work with senior team members to successfully deliver to clients.

You Have:

• 4-10 years of data engineering experience, preferably with consulting experience OR in an educational institution.
• Exposure to a variety of areas of data & analytics, including data management, statistical programming, and visualization.
• Experience with large enterprise-level data environments and working with 1B+ record datasets.
• Advanced or expert-level skills with the Azure Tech Stack, including Data Lake, Data Factory, Data Bricks or Analytics, and Azure Machine Learning.
• Reporting & Dashboard development experience with PowerBI.
• Understanding of management consulting functional skills including business analysis, process improvement, solutions architecture, and project management.

Extras we are looking for:

• Experience in Education Analytics, either in a research or professional role.
• Excellent written and verbal communication skills.
• Knowledgeable in back-testing, simulation, and statistical techniques (auto-regression, auto-correlation, and Principal Component Analysis).
• Bachelor s degree in a quantitative major; Graduate degree in data & analytics field preferred.