Own end-to-end work from discovery to production deployment.
Design data foundations: models, schemas, ETL/ELT pipelines, SCDs.
Build full-stack apps atop data foundation: Python/FastAPI services and Next.js UIs.
Use AI coding agents to accelerate development.
Orchestrate pipelines and automation with Airflow, Dagster, Celery, or Temporal.
Stand up CI/CD and cloud deployments on AWS and Azure.

🎯 Requirements

Production-depth in data engineering and full-stack development.
Strong data modeling, schema design, and EDW/warehouse concepts.
Hands-on ETL/ELT in production and SCD handling.
Advanced SQL and experience with Snowflake/Databricks or similar.
Python, FastAPI, Next.js, PostgreSQL proficiency.
CI/CD and multi-cloud deployment ownership (AWS/Azure).

🎁 Benefits

Fully remote.
Semi-annual team offsites.
High autonomy and ownership of real client problems.
Access to full modern data and AI stack.
Room to grow toward data architecture or AI engineering depth.

Apply on employer's website

This employer gathers applications via their own applicant tracking system.

You will be redirected to an external application form.

Share job

Meet JobCopilot: Your Personal AI Job Hunter

Automatically Apply to Engineering Jobs. Just set your preferences and Job Copilot will do the rest — finding, filtering, and applying while you focus on what matters.

Activate JobCopilot