Full Time
$1200-$2000 a month - based on experience
40
Apr 10, 2026
About the Role
We’re looking for a hands-on Data Engineer to own our data pipelines end-to-end. You’ll turn raw operational data into clean, reliable datasets that power business decisions in a fast-paced startup environment.
This role gives you real ownership, the chance to see your impact daily, and plenty of room to grow.
What You’ll Do
Build, maintain, and scale data pipelines (ETL/ELT) from our core systems
Clean, standardize, and model data so teams across the company can easily analyze and use it
Improve data quality, reliability, and documentation as we grow
Collaborate with engineering, operations, and stakeholders to ship solutions quickly
Apply solid data practices (version control, testing, and organization) while delivering real value
Requirements
2–6 years of experience in data engineering, ETL/ELT, analytics engineering, or a similar role (strong recent grads or bootcamp grads with solid projects are welcome)
Strong SQL skills and proficiency in Python (or similar scripting)
Experience with data transformation tools (dbt is a big plus)
Solid problem-solving skills and high attention to detail
Excited to work in a dynamic startup where you’ll wear multiple hats
Good communicator who enjoys collaborating with both technical and non-technical teammates
Nice to Have
Experience with dbt, Airflow, or similar data tools
Background in operations, logistics, supply chain, or hardware/device industries
Familiarity with software engineering practices applied to data (Git, testing, environments)
Passion for building clean, trustworthy data that the business actually uses
Requirements:
- English fluency
- Working US time-zone hours
- Full-time (8hours)