PADNOS · 2 months ago
Data Engineer (AI-RPA)
PADNOS is seeking a Data Engineer on their Data and Software team who thrives at the intersection of data, automation, and applied AI. This role involves building intelligent data pipelines and robotic process automations that connect systems, streamline operations, and enhance efficiency across the enterprise.
IndustrialRenewable Energy
Responsibilities
Design and develop automated data pipelines that integrate AI and machine learning services to process, enrich, and deliver high-value data for analytics and automation use cases
Build, maintain, and optimize SQL Server ELT workflows and Python-based automation scripts
Connect to external APIs (OpenAI, Anthropic, Azure ML, and other SaaS systems) to retrieve, transform, and post data as part of end-to-end workflows
Partner with business stakeholders to identify manual workflows and translate them into AI-enabled automations
Work with software developers to integrate automation logic directly into enterprise applications
Implement and monitor data quality, reliability, and observability metrics across pipelines
Apply performance tuning and best practices for database and process efficiency
Develop and maintain reusable Python modules and configuration standards for automation scripts
Support data governance and version control processes to ensure consistency and transparency across environments
Collaborate closely with analytics, software, and operations teams to prioritize and deliver automation solutions that create measurable business impact
Qualification
Required
Bachelor's degree or equivalent experience in data engineering, computer science, or software development
Must have personally owned an automated pipeline end-to-end (design → build → deploy → maintain)
Minimum 3 years hands-on experience building production data pipelines using Python and SQL Server. Contract, academic, bootcamp, or coursework experience does not qualify
Intermediate to advanced Python development skills, particularly for data and API automation
Experience working with RESTful APIs and JSON data structures
Familiarity with AI/ML API services (OpenAI, Anthropic, Azure ML, etc.) and their integration into data workflows
Knowledge of SQL Server performance tuning and query optimization
Familiarity with Git and CI/CD workflows for data pipeline deployment
Preferred
Experience with modern data stack components such as Fivetran, dbt, or similar tools preferred
Bonus: Experience deploying or maintaining RPA or AI automation solutions