Data and Automation Engineer - Python

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

About The Role

We're looking for an AI-Enabled Data & Automation Engineer who thrives on solving complex data challenges through software and automation.

You will build scalable data pipelines, integrate data from multiple SaaS platforms, develop automation that powers lead generation and enrichment, and leverage AI to dramatically accelerate development. You will work with modern technologies including Python, Databricks, and LLM-powered tools to build solutions that directly impact business growth.

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
  • Process structured, semi‑structured, and JSON data from a variety of internal and external sources
  • Collaborate with product, engineering, and go‑to‑market teams to translate business requirements into scalable technical solutions
  • Identify opportunities to automate repetitive processes and improve operational efficiency
  • Continuously evaluate and adopt new AI tools and technologies that improve development speed and data quality
Requirements

We seek a candidate with a strong technical foundation and the ability to innovate.

Technical Skills
  • 3–7+ years of experience in Data Engineering, Marketing Operations, Sales Operations, or a related technical field
  • Strong Python programming skills with experience in 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
AI & Productivity
  • Heavy user of AI coding tools such as Cursor, Claude Code, GitHub Copilot, ChatGPT, or similar AI development assistants
  • Demonstrated ability to leverage AI to accelerate software development, automate workflows, improve data quality, and increase productivity
  • Comfortable rapidly prototyping, testing, and iterating using AI-assisted development
Preferred Qualifications
  • Hands‑on experience with lead generation and sales intelligence platforms such as Apollo, Clay, LinkedIn Sales Navigator, ZoomInfo, or similar tools
  • Experience with CRM platforms such as Salesforce or HubSpot
  • Familiarity with LLM APIs and AI‑powered applications
  • Experience working in fast‑paced startup environments
  • Strong communication skills with the ability to work cross‑functionally and take ownership from concept through delivery

Plum AI, Inc looks forward to applicants from U.S. based candidates. We are not working with outside recruiters. We appreciate individual, not AI‑generated, applications. We may disqualify applicants who use AI in any part of the interview process.

Benefits
  • A fast‑paced, collaborative startup culture with high visibility
  • Autonomy, flexibility, and a flat corporate structure that gives you the opportunity for your direct input to be realized and put into action
  • Opportunity to make a meaningful impact in building a company and culture
  • Equity in a financial technology startup
  • Generous health, dental, and vision coverage for employees and family members + 401K
  • Eleven paid holidays and unlimited discretionary vacation days
  • Competitive compensation and bonus potential
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