Full-Stack Engineer, AI-Driven Education Analytics

Doowii, Inc.; Northern (KY); Hybrid; USD 120,000 - 180,000; Full time

Job summary

Doowii, Inc. in the United States, Kentucky region, is seeking a Senior Full-Stack Engineer to shape the core product experience. You’ll tackle opportunities and projects central to the Doowii interface and backend, including user questions, model evaluation, and data processing to deliver fast, accurate responses.

You’ll collaborate with ML, product, and frontend engineers to ship AI-driven features, build scalable APIs, and optimize data models and pipelines in a startup environment.

Qualifications

• BS in computer engineering (or similar) with 6+ years experience.
• 3+ years of full-stack experience.
• Strong frontend skills (JavaScript/TypeScript, modern frameworks).
• Backend experience (Python preferred).
• Experience with APIs and SQL.
• Experience with schema evolution, CDC, and high-throughput streaming.
• Bias for automation, documentation, and fast iteration in a startup environment.

Responsibilities

• Design and implement frontend interfaces for querying data and exploring analyses.
• Develop APIs powering real-time data interactions and ensure performance and scalability.
• Configure and manage cloud platforms (AWS, GCP).
• Optimize data models and storage for real-time and batch analytics.
• Build and maintain data ingestion pipelines end-to-end (NiFi 2.0 → Kafka → Iceberg → BigQuery).

Skills

JavaScript/TypeScript

Full-stack development

APIs

SQL

Python

Frontend frameworks

Documentation

Automation

Education

Bachelor's degree in computer engineering

Tools

Kafka

NiFi

Airflow

Iceberg

BigQuery

AWS/GCP

Job description

Doowii, Inc. in the United States, Kentucky region, is seeking a Senior Full-Stack Engineer to shape the core product experience. You’ll tackle opportunities and projects central to the Doowii interface and backend, including user questions, model evaluation, and data processing to deliver fast, accurate responses.

You’ll collaborate with ML, product, and frontend engineers to ship AI-driven features, build scalable APIs, and optimize data models and pipelines in a startup environment.