Data Engineer i Östersund
Design, build, and modernize scalable data platforms for private and public organizations, developing pipelines and lakehouse or data warehouse solutions that support analytics, BI, and AI.
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.
$90,000 - $140,000
Requirements
Licenses & Certifications:
For more than 30 years, Mindex has helped organizations solve complex business challenges through custom software, cloud, data, and AI solutions. We combine deep technical expertise with a collaborative culture that empowers our employees to innovate, grow, and make a meaningful impact for our clients.
In our Product division, our teams have built platforms such as SchoolTool, Advanced Analytics, and our Integrations Platform from the ground up, while also supporting solutions like MTSS Edge and ClearTrack that help schools and organizations make smarter, data-driven decisions.
Benefits
Additional Information
Applicants must be authorized to work for any employer in the United States. Mindex is unable to sponsor employment visas at this time.
Physical Requirements/Conditions
Design, build, and modernize scalable data platforms for private and public organizations, developing pipelines and lakehouse or data warehouse solutions that support analytics, BI, and AI.
Design, build, and modernize cloud data platforms using Microsoft Fabric, Azure, and Databricks, developing pipelines and scalable lakehouse and data warehouse solutions for analytics, BI, and AI.
Design, build, and modernize cloud data platforms for private and public organizations, developing pipelines, ETL/ELT flows, and lakehouse or data warehouse solutions that support analytics, BI, and AI.
Design, build, and modernize cloud data platforms using Microsoft Fabric, Azure, and Databricks, developing scalable pipelines and data solutions that support analytics, BI, and AI.
Concevez et déployez des plateformes data pour des clients du secteur financier, de l’ingestion des données à leur exposition aux métiers, en contribuant à la gouvernance, à la sécurisation et à l’automatisation.