Data Engineer (Mid/Sr)

Everfit is looking for a skilled and detail-oriented Data Engineer to join our team. The ideal candidate will play a crucial role in building and maintaining robust data pipelines, ensuring data is clean, efficient, and accessible for analysis. You’ll work closely with data scientists, analysts, and product teams to support the Everfit platform’s data infrastructure, enabling data-driven insights and better user experiences for personal trainers and clients. Data Pipeline Development: Design, build, and maintain scalable and efficient data pipelines to process and integrate data from multiple sources, ensuring high-quality and reliable data flow.Database Management: Manage and optimize relational and non-relational databases including MongoDB, HubSpot, Stripe, ensuring data accessibility and integrity for the data science and analytics teams.ETL Process: Develop and implement ETL (Extract, Transform, Load) processes using Databricks to transform raw data into usable formats for analysis and reporting.rETL Process: Implement and manage reverse ETL processes using tools such as Hightouch to build data models, create audiences, sync audiences back to operational tools.Data Quality & Monitoring: Ensure the quality and accuracy of data by conducting regular checks, resolving data inconsistencies, and optimizing data workflows.Collaboration with Data Teams: Work closely with data scientists, analysts, and product teams to understand data needs and deliver the infrastructure to support advanced analytics and machine learning models.Cloud Infrastructure: Utilize cloud platforms (e.g. AWS) for data storage and processing, ensuring scalability and security.Performance Optimization: Continuously monitor, optimize, and troubleshoot data pipelines for performance, reliability, and scalability.