Remote Data Jobs • ETL/ELT

Support the migration from Synapse to Databricks across multiple data streams. Design and implement scalable solutions for initial data load, data mart and consumption layer, and Reporting and Power BI integration. Collaborate with product and business teams to understand requirements and deliver data-driven solutions. Optimize data pipelines for performance, scalability, and reliability.

As a Data Engineer at Loop, you’ll impact the ability to solve merchant problems and fulfill merchant needs. You’ll be an integral member of the team, owning all aspects of data availability, quality, and ease of use of our data platforms. Your success in this role will depend on a healthy blend of creativity and structure with a continuous focus on delivering value to the business.

We are looking for a Senior Software Engineer with a background in Data who will help us deliver our production-ready product and co-design/implement an architecture that can scale with the product and the company. Focus will be on software engineering tasks, ensuring scalability, reliability, and performance of processes that generate core data inside our Data Platform. This role involves working closely with other Software Engineers, a Tech Lead, and a Product Manager.

The Data Engineer helps evolve the reliability and scalability of Carrot’s modern data platform across analytics, reporting, and business intelligence. They build and maintain robust, automated data pipelines and partner with cross-functional stakeholders to deliver secure, compliant, high-quality data solutions. This role is hands-on across the data lifecycle.

Lead the evolution of data products within the Digital Communication team, bridging business needs with the technical capabilities of the team. You will be collaborating closely with Data Analysts and Data Engineers, while maintaining a strong focus on our clients' needs. Responsibilities include product vision, backlog management, and stakeholder engagement.

As a SR Reporting Engineer, you will design, develop, and maintain high-performance analytical applications and services that power large-scale data pipelines and analytics platforms. Your main focus will be on building Python-based solutions for data ingestion, transformation, and modeling, ensuring efficiency, scalability, and reliability across distributed systems. You will work closely with Data Engineers, Analysts, and cross-functional teams to optimize data workflows.