AI-Enabled Data & Automation Engineer for Growth

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

Benefits offered by this job

Equity in a startup

Health, dental, and vision coverage

401K

Unlimited discretionary vacation

Competitive compensation and bonus

Job summary

Plum AI, Inc. seeks an AI-Enabled Data & Automation Engineer to solve complex data challenges with scalable pipelines and automation. You will integrate data from multiple SaaS platforms, leverage Python, Databricks, and AI tools to accelerate development and drive business growth.

The role focuses on building data workflows, automating collection and processing, and applying AI to improve data quality and productivity across teams. A strong technical foundation and startup mindset are required.

Qualifications

• 3–7+ years of experience in Data Engineering, Marketing Ops or Sales Ops or a related technical field.
• Strong Python programming skills with data processing, automation, and API integrations.
• Experience with Databricks, PySpark, SQL, and Delta Lake.
• Experience integrating and processing data from multiple SaaS platforms via APIs.
• Strong understanding of lead enrichment, data quality, deduplication, entity resolution, and contact/company matching.
• Experience working with structured, semi-structured, and JSON data.
• Familiarity with Git and modern software development practices.
• Undergraduate degree in Computer Science, Engineering, Physics, or another relevant discipline.

Responsibilities

• Design, build, and maintain scalable data pipelines for ingesting, processing, and enriching large datasets.
• Develop Python-based automation for data collection, transformation, validation, and workflow orchestration.
• Build and optimize data processing workflows using Databricks, PySpark, SQL, and Delta Lake.
• Integrate and process data from multiple SaaS platforms through REST APIs and other integrations.
• Develop scalable workflows for lead generation, company and contact enrichment, and sales intelligence.
• Implement processes for data cleansing, deduplication, entity resolution, normalization, and contact/company matching.

Skills

Python

Databricks

PySpark

SQL

Delta Lake

APIs

Data processing

Data quality

Entity resolution

Git

Education

Bachelor's degree in Computer Science/Engineering/Physics or related

Job description

Plum AI, Inc. seeks an AI-Enabled Data & Automation Engineer to solve complex data challenges with scalable pipelines and automation. You will integrate data from multiple SaaS platforms, leverage Python, Databricks, and AI tools to accelerate development and drive business growth.

The role focuses on building data workflows, automating collection and processing, and applying AI to improve data quality and productivity across teams. A strong technical foundation and startup mindset are required.