Senior Data Engineer

Appliscale is looking for a Senior Data Engineer to join our team and contribute to the design and implementation of scalable data solutions. You will play a key role in building robust data pipelines and shaping our engineering standards within a fully remote environment.

Key responsibilities

• Design, build, and optimize scalable data pipelines to support our Data Foundation ecosystem.
• Implement data models using industry best practices to ensure accuracy, scalability, and long-term usability.
• Architect and maintain high-performance data solutions while automating workflows to enhance processing efficiency.
• Optimize query performance and resolve pipeline bottlenecks to improve overall data accessibility.
• Ensure data quality, governance, and compliance with regulatory standards such as GDPR and CCPA.

Requirements

• Minimum of 5 years of commercial experience in data engineering or a related field.
• Proficiency in Python, PySpark, and Databricks for complex data processing tasks.
• Hands-on experience with DBT and Airflow for pipeline management.
• Strong knowledge of AWS cloud infrastructure.
• Bachelor’s degree in Computer Science, Software Engineering, or a related field.

What we offer

• Opportunity to work on large-scale data projects in a fully remote setting.
• Influence over engineering infrastructure, tooling, and organizational best practices.
• Exposure to cutting-edge technologies including ML Operations and GenAI pipelines.
• Collaborative environment with a focus on professional growth and technical excellence.