Position:
Data Engineer
Type:
Full-time
Compensation:
$20K–$100K/year
Location:
Remote
Role Responsibilities
Build and maintain data pipelines ingesting data from databases, analytics tools, and SaaS platforms.
Design dbt models and transformations to produce clean, production-ready schemas.
Implement scalable ELT workflows using SQL, Python, dbt, and Fivetran.
Ensure data reliability, availability, and timeliness across the data stack.
Partner with data science, engineering, and product teams to support analytics and ML use cases.
Own data quality, monitoring, and pipeline performance improvements.
Requirements
Experience in data engineering or analytics engineering roles.
Strong proficiency in SQL and Python.
Hands-on experience with modern data stack tools (dbt, Fivetran, Snowflake or similar).
Understanding of data modeling, schema design, and transformation best practices.
Comfort working cross-functionally in a fast-moving environment.
Application Process
Submit resume
Technical interviews
Final discussion