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Data Engineer

About Us

Glide’s mission is to make the process of buying and selling homes faster, simpler, and safer for real estate agents and their clients. We serve an industry larger than any other, streamlining the most important financial transaction of a consumer’s lifetime.

Our platform is used by more than 50,000 real estate agents on over $100B worth of home sale transactions each year. Agents choose Glide because we focus on making their lives simpler, helping them deliver outstanding customer service, stay compliant and grow their businesses.

Our culture is based on moving fast, putting customer needs first and supporting one another to accomplish incredible results. We operate as an independent subsidiary of Compass (NYSE: COMP), allowing us to combine the agility of a startup with the resources of a public company.

Join Glide because you want to do your best work, to collaborate with amazing people and to make a lasting impact at a pivotal moment in people’s lives.

About this Role

As a Data Engineer at Glide you will support and build data pipelines that enable stakeholders to do their jobs effectively and answer their own questions. You will be working hands on with the latest modern data stack, making sure the models are correct and on time.

At Glide You Will

  • Support the management of our data lake/warehouse infrastructure
  • Write and Maintain dbt models, with proper documentation and testing
  • Translate complex business requirements and raw data into transformed tables to support analysis across all areas of the business
  • Devising architectural solutions that are performant, scalable, well-tested, and maintainable
  • Efficiently handle vast amounts of data from multiple sources and destinations, including relational databases as well as external systems


What We Look For

  • 2+ years of experience working in data engineering.
  • Proven experience in Business Intelligence
  • Strong skills in Python and SQL
  • Expert in data modelling, extra points if you know your way around dbt
  • Experience with AWS Ecosystem (Redshift, S3, EMR, ECS)
  • Experience using orchestration tools like Airflow
  • Experience in distributed systems (Spark, Hudi, Hadoop, Hive)
  • Deep interest in learning about and keeping up with quickly evolving industry trends around the modern data stack and data best practices

What we offer

  • Above the average salary (base salary in USD, paid in Pesos with a highly competitive exchange rate)
  • Health insurance stipend. We will cover the health insurance for you and your family via a stipend.
  • 15 working days of paid vacations
  • Training Budget. We like to be updated and encourge you to learn new things.
  • Great equipment. Each employee gets a brand new Macbook.





Job type



Data Engineering


AirflowAWSBusiness IntelligenceData pipelines
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