Data and Automation Engineer - Python

Plum; Las Vegas (NV); On-site; USD 110,000 - 170,000; Full time

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

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’ll be responsible for building scalable data pipelines, integrating data from multiple SaaS platforms, developing automation that powers lead generation and enrichment, and leveraging AI to dramatically accelerate development.

You’ll work with modern technologies including Python, Databricks, and LLM-powered tools to build solutions that directly impact business growth.

This role is ideal for someone who enjoys building, experimenting with new technologies, and continuously finding better and faster ways to solve problems.

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

• 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 other relevant degree.

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.

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.