Drive the technical strategy for the data platform, focusing on scalability, reliability, and the design of robust data pipelines. Lead the implementation of data models and mentor engineers to enable self-service analytics for stakeholders.
Midnite
11 Remote Job Openings at Midnite
Design, develop, and maintain scalable backend services and APIs that power web and mobile applications. Collaborate with cross-functional teams to shape technical strategy and ensure high code quality through reviews and continuous deployment.
Design and improve backend and platform systems to support scalability, reliability, and regional expansion. Focus on defining service boundaries, improving observability, and building technical foundations for developer productivity.
Build and maintain features for the Midnite Android app, specifically focusing on the rewards offering and customer experiences. Collaborate with cross-functional teams to ensure application performance, quality, and a scalable codebase.
Lead the launch and growth of Midnite's casino operations in Canada, focusing on commercial performance and player engagement. Manage the go-to-market strategy, game selection, and regulatory compliance with AGCO and iGaming Ontario.
Execute and optimize customer lifecycle campaigns across email, push, in-app, and SMS channels to drive engagement and retention. Collaborate with CRM Managers and technical teams to build audience segments and implement automated customer journeys.
Lead the development of a greenfield back office platform and define the practical application of AI across the business. You will mentor a small engineering team while remaining hands-on in designing and deploying scalable backend systems.
Design, build, and maintain scalable data pipelines and SQL-based data models to power decision-making. Own end-to-end data engineering projects from ingestion to analytics enablement while improving monitoring and data quality.
The Data Engineer will design, build, and optimize scalable data pipelines and complex data models using Python, Dagster, and Snowflake. They will take ownership of end-to-end data projects while ensuring high standards of data quality and engineering best practices.
Own the end-to-end design process for key product areas like Casino and Loyalty from discovery to launch. Collaborate with cross-functional squads to translate customer needs and business goals into intuitive web and mobile experiences.
Build and own fullstack features for the internal back office platform using Python and Vue.js. Implement AI-enabled improvements to internal tooling and engineering workflows while mentoring junior engineers.
