Data and Automation Engineer - Python

PLUM AI; Las Vegas (NV); On-site; USD 120,000 - 180,000; Full time

Benefits offered by this job

Equity in fintech startup

Health, dental, vision coverage

Paid holidays

Bonus potential

Job summary

Plum AI, Inc. seeks an AI-Enabled Data & Automation Engineer to design scalable data pipelines, automate data collection, and leverage AI to accelerate development.

You’ll integrate data from multiple SaaS platforms, use Python, Databricks, and LLM-powered tools to boost growth and data quality, working closely with product and GTM teams. The role emphasizes rapid prototyping, experimentation with AI tools, and building workflows for lead generation, enrichment, and sales intelligence in a

Qualifications

• 3–7+ years in data engineering or related technical field.

Responsibilities

• Design, build, and maintain scalable data pipelines for ingesting 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.
• Create scalable workflows for lead generation, enrichment, and sales intelligence.
• Implement data cleansing, deduplication, entity resolution, and matching.
• Process structured, semi-structured, and JSON data from various sources.
• Collaborate with product, engineering, and go-to-market teams to translate requirements to solutions.
• Identify opportunities to automate repetitive processes and improve efficiency.
• Continuously evaluate AI tools to speed development and data quality.

Skills

Python programming

Data engineering

Lead enrichment

Data quality

Entity resolution

APIs

JSON data processing

Education

Bachelor’s in CS/Engineering/Physics

Tools

Databricks

PySpark

SQL

Delta Lake

Git

REST APIs

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