About the role:
Data is core to our business. Data underpins our long-term and short-term rental income prediction algorithms. Data feeds our to our revenue optimization algorithms. Data drives our mission, and our mission at Loftium is to provide affordable housing to young families. We're looking for a talented, and experienced, Data engineer to help us scale. As an early hire, you will have an opportunity to set best standards and practices, architect solutions, and contribute to the culture of the organization.
This role reports to our Head of Machine Learning.
Responsibilities:
- Building data pipelines that allow us to improve our machine learning products and services
- Design and architect efficient data stores
- Deploy and maintain data pipelines and other services
- Collaborate with the machine learning engineers to create and extend data products
- Work closely with business units to create data products that empower them to make data driven decisions
Who we're looking for:
- You have 5+ years experience in data engineering, solving complex business problems
- You know how to work smart in a startup environment. We are constantly improving and iterating our our business model and operations. We need to balance building high quality solutions against the constant need to evolve.
- You are excited about Loftium’s mission of making housing more affordable
- Bonus: Masters or PhD in relevant field
You have some experience with:
- Object Oriented Programing, Python preferred, and SQL
- Designing and deploying scalable production data products
- Experience with cloud based database architecture, e.g., Redshift, RDS, S3/Athena etc.
- Leveraging data pipeline frameworks, e.g., Airflow, Luigi, Pinball, etc.
- Web scraping
- Git and GitHub; software development workflows and continuous integration
- Managing deployment & operation of cloud services (AWS, Azure etc.)
- Bonus: Early-stage startup experience, especially joining at the seed or Series A stage and scaling a technical product
***Visa sponsorship currently not available***