Backend Data Engineer

Role Overview

• 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.

Tech Stack

• ETL
• JavaScript
• MySQL
• PHP
• Postgres
• Python
• SQL

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