Data Engineer

Summary

Join Lift Ventures, a remote-first startup studio, as a Data Engineer for SuperSummary, their fast-growing EdTech business. You will be a key player in designing, building, and optimizing data systems, collaborating with various teams to deliver actionable data insights. This fully remote position, with a preference for Latin American candidates, offers a chance to work in a diverse and inclusive environment. You will design and develop scalable data pipelines, integrate data from various sources, ensure data quality and governance, and collaborate with cross-functional stakeholders. The role involves performance optimization, documentation, and staying current with emerging technologies. Successful candidates will have experience with cloud platforms like Azure, data modeling, and distributed data processing frameworks.

Requirements

• 3–6 years of experience in data engineering, with a strong foundation in Python and SQL for building, optimizing, and maintaining data pipelines, transformations, and data-driven solutions
• Bachelor’s degree (or equivalent experience) in Mathematics, Computer Science, Engineering, Economics, Statistics, or a related technical field
• Proven experience working with cloud platforms such as Azure (strongly preferred), AWS, or Google Cloud Platform, including hands-on knowledge of cloud-based data tools and services
• Solid understanding of data modeling, ETL/ELT development, and data warehousing principles, with a track record of applying best practices to design scalable and efficient systems
• Advanced proficiency with Spark (or similar distributed data processing frameworks), demonstrating the ability to work with large, complex datasets and optimize performance
• Familiarity with integrating data into visualization and BI tools (e.g., Tableau, Power BI, QlikView) to support downstream analytics and insights
• Strong problem-solving skills with a systems-thinking approach — able to tackle complex technical challenges, design end-to-end solutions, and continuously improve processes
• Excellent communication and collaboration skills, with a proven ability to work effectively across cross-functional and international teams
• Comfortable working in a professional English-speaking environment (both written and verbal)

Responsibilities

• Design and Develop Scalable Data Pipelines
• Build, maintain, and optimize robust ETL/ELT pipelines using tools such as Azure Data Factory, Azure Databricks, or Synapse Analytics
• Ensure pipelines meet business requirements, are scalable, efficient, and well-documented
• Data Integration and Management
• Integrate data from diverse sources, including APIs, data warehouses, cloud services, and more
• Manage and optimize data storage solutions like Azure Data Lake, Azure SQL Database, and Azure Blob Storage
• Ensure Data Quality and Governance
• Implement data quality monitoring systems and checks to ensure accuracy, consistency, and reliability
• Uphold data governance policies and ensure compliance with data security and privacy standards
• Cross-Functional Collaboration
• Work closely with cross-functional stakeholders to understand evolving data needs and translate them into scalable solutions
• Provide technical support for data-related issues and contribute to the continuous improvement of the data infrastructure
• Performance Optimization
• Monitor, troubleshoot, and enhance the performance and availability of data pipelines
• Optimize data workflows to improve speed, efficiency, and cost-effectiveness
• Documentation and Best Practices
• Document data architectures, workflows, and processes to ensure transparency and knowledge sharing
• Advocate for and apply best practices in data engineering, staying current with emerging tools and technologies

Benefits

• Work with a distributed, global team that has been remote-first since 2018
• Competitive salary, benefits, and vacation policy
• Workspace improvement stipend
• Professional development and learning stipend