- Location
- Rochester, New York, United States · published
- Type
- Full-time
- Department
- Education
- Source
- Workable
Description
Mindex is looking for a Data Engineer to build the data pipelines, models, and warehouse structures behind SchoolTool’s interactive dashboards and analytics. You’ll work with the product team, customers, and fellow engineers to deliver reliable, maintainable data solutions and help shape technical design. The ideal candidate is analytical, communicates clearly, and is eager to take on new challenges and grow.
We welcome candidates from a variety of locations; however, all candidates should be open to occasional in-person participation for business meetings, team events, or collaboration opportunities. Candidates located within approximately 35 miles of Rochester, NY may be asked to work from the office more frequently based on business or team needs.
Compensation
$90,000 - $140,000
What You’ll Accomplish
- Build, test, scale, and maintain cloud-native data pipelines, data models, and warehouse structures for SchoolTool’s dashboards and analytics.
- Develop analytics solutions with Python, Apache Spark, Snowflake, SQL and NoSQL databases, and tools like Amazon QuickSight, Tableau, or Power BI.
- Contribute to large-scale, complex data solutions, from data discovery and cleaning through model selection, validation, and deployment.
- Engage directly with customer stakeholders, deliver work aligned with their roadmap and vision, and serve as their primary contact when needed.
- Deliver well-defined data solutions independently and contribute to technical design decisions.
- Build technical and non-technical connections within your team, across Mindex delivery teams, and with customer stakeholders.
- Apply AI-assisted engineering practices and the AI DLC across planning, design, development, testing, documentation, and troubleshooting.
- Demonstrate an AI-first mindset by effectively leveraging AI-assisted tools and technologies to enhance productivity, accelerate problem-solving, improve quality, automate routine tasks, and drive innovation in the delivery of solutions and services.