Data and Automation Engineer - Python

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.
• 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.