Backend Data Engineer
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Job Description
Backend Data Engineer building data pipelines and supporting engineering teams for online real estate marketplaces. Role involves designing data strategies and managing terabytes of real estate data.
Responsibilities:
- Design, build, and maintain our client's data pipelines and data warehouses for user-facing features, analytics, and aiding business intelligence.
- Develop ETL ecosystem tools using tools like Python, External APIs, Airbyte, Snowflake, dbt, PostgreSQL, MySQL, and Amazon S3.
- Define automated solutions to solve complex problems and better understand our clients' data, users, and market.
- Assist the overall engineering team with database design and data flows
- Develop engineering best practices, documentation, and process flows that facilitate collaboration and knowledge transfer.
Requirements:
- 2 to 5 years of experience working as a Data Engineer or Backend Engineer
- Expert-level understanding of SQL-based database design and usage
- Expert-level proficiency in at least one programming language (Ideally Python, but PHP or JavaScript could work too)
- Professional experience in high-volume ETL systems.
- Effective communication with engineering peers, project managers, and business stakeholders.
Benefits:
- Totally remote, full-time (40h/week)
- Work hours - 8 hours, with US Central time overlap (10 AM - 4 PM)
- Independent contractor agreement (after the first 6-month trial, it's a long-term, no-end-date contract)
- Payment in USD, biweekly or monthly - your choice
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