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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Data and Automation Engineer - Python - **Company:** Plum, Inc. - **Location:** Austin, TX, United States (Remote available) - **Experience:** Experienced - **Salary:** $110,000.0 - $150,000.0 - **Contract:** Permanent contract - **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Software Applications, Big Data, Software as a Service, Data Cleansing, Data Deduplication, Information Engineering, Data Integration, Cursor (Graphical User Interface Elements), JSON, Python (Programming Language), Salesforce.Com, Software Engineering, SQL Databases, Systems Integration, Workflow Management Systems, Software Organization, Data Processing, GitHub Copilot, Large Language Models, Git, Data Lakes, Pyspark, Information Technology, Hubspot, Restful APIs, GPT, Data Pipelines, Api Management, Databricks - **Published:** July 11, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=df6f29475e80e513 ## About the Role * 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., * 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. ## Description 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. ## Related Videos - [HR ROBO SAPIENS: Decoding AI Agents and Workflow Automation for Modern Recruitment](https://www.wearedevelopers.com/videos/1470-hr-robo-sapiens-decoding-ai-agents-and-workflow-automation-for-modern-recruitment) - [How a Small Team Shrank a Microsoft Monorepo by 94%](https://www.wearedevelopers.com/videos/1236-how-a-small-team-shrank-a-microsoft-monorepo-by-94) - [ Evaluating AI models for code comprehension](https://www.wearedevelopers.com/videos/1462-evaluating-ai-models-for-code-comprehension) - [Tips and Tricks for Working with JSON](https://www.wearedevelopers.com/videos/1229-tips-and-tricks-for-working-with-json) - [Recruiting with Soul & Smarts](https://www.wearedevelopers.com/videos/1477-recruiting-with-soul-smarts) - [Git for Code Reviews](https://www.wearedevelopers.com/videos/429-git-for-code-reviews) ## Related Articles - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [13 AI Tools You Have to Try](https://www.wearedevelopers.com/magazine/219-13-ai-tools-you-have-to-try) - [The Top ChatGPT Plugins for Developers in 2023](https://www.wearedevelopers.com/magazine/259-the-top-chatgpt-plugins-for-developers-in-2023) - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production) - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift)