AI-Driven Data & Automation Engineer with Equity

Plum

Las Vegas (NV)

On-site

USD 110,000 - 170,000

Full time

14 days+

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Benefits offered by this job

Equity
Health, dental, vision coverage
401K
Holidays and discretionary vacation

Job summary

Plum is seeking an AI-Enabled Data & Automation Engineer to solve complex data challenges, build scalable pipelines, and automate lead generation and enrichment. You’ll leverage AI to accelerate development using Python, Databricks, and LLM-powered tools.

You’ll collaborate with product and GTM teams to translate business needs into robust data solutions, continuously evaluating new AI tools for speed and quality gains, in a fast-paced startup environment.

Qualifications

  • 3–7+ years of experience in data engineering or related technical field.
  • Strong Python skills with data processing, automation, and API integrations.
  • Experience with Databricks, PySpark, SQL, and Delta Lake.

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 data from multiple SaaS platforms via REST APIs and other integrations.
  • Develop scalable workflows for lead generation, enrichment, and sales intelligence.
  • Implement data cleansing, deduplication, entity resolution, normalization, and matching.

Skills

Python programming
Databricks
PySpark
SQL
Delta Lake
APIs
Git
Data quality
Deduplication
Entity resolution
Lead enrichment
Contact matching

Education

Bachelor’s degree in CS/Engineering/Physics or related

Tools

Databricks
PySpark
SQL
Delta Lake

Job description

Plum is seeking an AI-Enabled Data & Automation Engineer to solve complex data challenges, build scalable pipelines, and automate lead generation and enrichment. You’ll leverage AI to accelerate development using Python, Databricks, and LLM-powered tools.

You’ll collaborate with product and GTM teams to translate business needs into robust data solutions, continuously evaluating new AI tools for speed and quality gains, in a fast-paced startup environment.

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