Remote Data Platforms Engineer I

abnormal.ai; Northern (KY); Hybrid; USD 122,000 - 176,000; Full time

Job summary

Abnormal AI is hiring a Software Engineer I for its Data Platform team, remote in the USA. You will design, build, and operate core data platform components and tools to help teams scale data systems, with a strong emphasis on reliability and automation.

You’ll collaborate with engineers to tackle scalability challenges, learn AWS and Databricks, and contribute end-to-end solutions while growing your skills in a fast-growing, AI-first company.

Qualifications

• 1+ years of professional software engineering experience (backend, distributed systems, or infrastructure preferred).
• Solid programming skills in Python, Go, or a similar language (school, personal, or work experience count).
• Strong fundamentals: data structures, clean code, testing, debugging.
• Interest in learning about AWS, Databricks, and technologies in our stack (databases, streaming, orchestration).
• Curiosity, problem-solving, and willingness to ask questions.
• Ability to work independently and in a team with good communication skills.

Responsibilities

• Contribute to the design, development, and operation of core components of Abnormal’s data platform.
• Build tools and services to help other teams adopt and scale data systems.
• Automate infrastructure and operations to improve reliability, performance, and scalability.
• Apply GenAI techniques to build smarter developer and operator experiences.
• Collaborate across engineering teams to address scalability and reliability challenges.
• Take ownership of projects, delivering features end-to-end with guidance from senior engineers.

Skills

Python

Go

Distributed systems

Testing & debugging

Data structures

Communication

Tools

AWS

PostgreSQL

Kafka

Spark

Airflow

Job description

Abnormal AI is hiring a Software Engineer I for its Data Platform team, remote in the USA. You will design, build, and operate core data platform components and tools to help teams scale data systems, with a strong emphasis on reliability and automation.

You’ll collaborate with engineers to tackle scalability challenges, learn AWS and Databricks, and contribute end-to-end solutions while growing your skills in a fast-growing, AI-first company.