Key skills
PythonDatabricksPySparkSQLDelta LakeAPI integrationsData processingData automationData pipelinesData cleansingData deduplicationEntity resolutionJSON dataGitLead enrichmentSales intelligence platformsCRM platformsLLM APIsAI coding toolsGoAILLMClaudeData EngineeringApolloGitHubSaaSSalesforceCRMPrototypingCommunicationSales
About this role
PLUM AI is a company focused on solving complex data challenges through software and automation. They are seeking an AI-Enabled Data & Automation Engineer responsible for building scalable data pipelines and developing automation solutions that enhance lead generation and 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:
- 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
- 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
- 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