Skills
Python
Databricks
Data Pipelines
About the Role
We’re seeking an AI-enabled Data & Automation Engineer to tackle challenging data problems with software and automation. In this role, you’ll design scalable pipelines, connect data across SaaS platforms, and build automation that supports lead generation, enrichment, and faster development using AI-powered tooling.
If you enjoy experimenting with new technologies and continuously improving how work gets done, you’ll feel at home here.
Responsibilities
- Design, build, and maintain scalable data pipelines for ingesting, processing, and enriching large datasets.
- Develop Python automation for data collection, transformation, validation, and workflow orchestration.
- Integrate and normalize data from multiple SaaS sources to support downstream use cases.
- Leverage AI/LLM-powered tools to accelerate development and improve iteration speed.
- Collaborate with stakeholders to translate business needs into reliable data and automation solutions.
Requirements
- Strong Python experience for data engineering and automation.
- Experience building data pipelines and working with large datasets.
- Hands-on experience with Databricks or similar analytics/data platforms.
- Familiarity with LLM-powered tools and applying AI to development workflows.
- Understanding of data validation, quality practices, and reliable data processing.
Benefits
- Opportunity to work on AI-enabled data and automation projects with measurable business impact.
- Use modern technologies and continuously improve systems, tooling, and processes.
- Collaborate in a fast-moving environment focused on building better, faster solutions.
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