AI-Driven Data & Automation Engineer

PLUM AI

United States

On-site

USD 110,000 - 160,000

Full time

14 days+

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Benefits offered by this job

Health, dental, vision coverage
Equity in startup
401K
Paid holidays
Unlimited vacation
Competitive compensation

Job summary

Plum AI, Inc is hiring an AI-Enabled Data & Automation Engineer to design and deploy scalable data pipelines and AI-powered automation that accelerates growth. You will integrate data from various SaaS platforms, leverage Databricks and AI tools, and collaborate with product and GTM teams to translate business needs into scalable technical solutions.

The role emphasizes rapid prototyping with AI-assisted development, data quality and enrichment, and building workflows for lead generation and

Qualifications

  • 3–7+ years in Data Engineering or related field.
  • Strong Python programming for data processing, automation, and API integrations.
  • Experience with Databricks, PySpark, SQL, and Delta Lake.
  • Experience integrating data from multiple SaaS platforms via APIs.

Responsibilities

  • Design, build, and maintain scalable data pipelines.
  • Develop Python-based automation for data collection and workflows.
  • Build data processing workflows using Databricks, PySpark, SQL, and Delta Lake.
  • Integrate data from multiple SaaS platforms via APIs.
  • Develop lead generation, enrichment, and sales intelligence workflows.
  • Automate data cleansing, deduplication, and entity resolution.

Skills

Python
Databricks
PySpark
SQL
Delta Lake
API Integrations
Data Quality
Entity Matching
Git
JSON Data
Strong Collaboration

Education

Undergraduate degree in CS/Engineering/Physics

Tools

Cursor
Claude Code
GitHub Copilot
ChatGPT
Salesforce
HubSpot

Job description

Plum AI, Inc is hiring an AI-Enabled Data & Automation Engineer to design and deploy scalable data pipelines and AI-powered automation that accelerates growth. You will integrate data from various SaaS platforms, leverage Databricks and AI tools, and collaborate with product and GTM teams to translate business needs into scalable technical solutions.

The role emphasizes rapid prototyping with AI-assisted development, data quality and enrichment, and building workflows for lead generation and

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