Remote Data Engineer

Summary

Join Lift Ventures as a Data Engineer for SuperSummary, our fast-growing EdTech business. As an integral part of our data-centric approach, the ideal candidate will have a proven track record of data integration, data modeling, and ETL experience.

Requirements

• Professional working proficiency in English — we are a global team!
• Minimum 3 years of strong expertise in Microsoft Azure (preferably) or another cloud platform, including core services like compute, storage, and databases
• Strong experience building and deploying data projects in cloud environments using tools like Azure Data Factory, Synapse Analytics, S3, SageMaker (or equivalent in other cloud ecosystems) is a must
• 3-6 years of experience in data engineering with a strong foundation in Python and SQL programming languages
• Experience working within data governance frameworks, specially in the implementation of best practices for data quality assurance
• Experience consuming API and integrating the retrieved data with other data sets
• Experience integrating different sources into BI tools and providing business analysts with datasets for analytics
• Proficient in data modeling and database creation and designing
• Bachelor’s degree or equivalent in a relevant field (engineering, computer science, etc.)

Responsibilities

• Perform production-level automation of data collection procedures, including web scrapers
• Integrate multiple datasets in our cloud architecture
• Lead the implementation of a Data Governance framework for the whole company
• Develop scalable data pipelines preferably with Databricks
• Identify and implement improvements to infrastructure and to our data collection and processing methods
• Maintain, update, expand and provide quality assurance for existing data sets
• Perform data collection, transformation and cleansing tasks: this includes writing/maintaining web scrapers and using external APIs
• Work with stakeholders including the Executive, Product, and Content Production teams to assist with data-related technical issues and support their data needs
• Collaborate with the Analytics team in building data models, intermediate tables, views and visualizations to provide insights to end business users
• Help with the integration of data sources into BI solutions and other reporting / visualization tools

Benefits

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