Applied AI Data Engineer — Hybrid, Atlanta

PowerPlan; Atlanta (GA); Hybrid; USD 110,000 - 170,000; Full time

Job summary

PowerPlan is seeking an early member of its Applied AI team to build the data foundation behind AI solutions used across finance, sales, professional services, and product. You will shape data standards, ensure clean, trusted data, and partner with AI engineers to deliver scalable solutions.

In this hybrid role, you will collaborate with IT and business leaders to retire hand-built reports, and you will ensure data is ready for weekly AI-driven insights used by multiple teams.

Qualifications

• Bachelor's degree or masters in a quantitative field with programming coursework.
• Experience turning messy data into usable data for AI tools or business teams.
• Ability to trace numbers to source systems and discuss with data owners.
• Familiarity with AI tooling workflows and planning with data teams.
• Proficient in Python and SQL; able to read and modify others' code.
• Experience pulling data from APIs end-to-end (auth, paging, errors).
• Proficient with Git and documenting data pipelines for business owners.

Responsibilities

• Build and maintain the data foundation for AI solutions used weekly by business teams.
• Define data standards, data connections, and code review processes for reliability and security.
• Partner with AI engineers to deliver initial builds and scale to pilot projects.
• Publish and govern shared data sets enabling multiple teams to use AI-ready data.
• Retire manual reports by enabling AI to generate commentary and flag issues.

Skills

Python

SQL

Git

Data modeling

Data cleaning

Data quality checks

Claude Code / Codex / Cursor / OpenAI

API data extraction

Education

Bachelor's degree in computer science or related field

Tools

Claude Code

Codex

Cursor

OpenCode

Job description

PowerPlan is seeking an early member of its Applied AI team to build the data foundation behind AI solutions used across finance, sales, professional services, and product. You will shape data standards, ensure clean, trusted data, and partner with AI engineers to deliver scalable solutions.

In this hybrid role, you will collaborate with IT and business leaders to retire hand-built reports, and you will ensure data is ready for weekly AI-driven insights used by multiple teams.