Data Engineer

Summary

Run For Trash is seeking a Data Engineer to support dependable data infrastructure. The role focuses on developing and maintaining data pipelines, transformations, models, quality checks, monitoring, and technical documentation while supporting controlled infrastructure changes.

Responsibilities

• Develop reliable ingestion and transformation workflows for analytical or operational datasets
• Write maintainable SQL and Python code for data preparation, modeling, and pipeline automation
• Review pipeline health and trace failed or incomplete runs to their underlying technical cause
• Keep schemas, dependencies, transformation rules, and data-model documentation current
• Add validation and monitoring that surfaces data-quality problems early in the workflow
• Support controlled changes to data infrastructure with documented testing and rollback considerations

Skills

• Practical familiarity with Data Engineering, SQL, and Python
• Consistent accuracy when working with ETL and Data Pipelines
• Clear written communication and disciplined documentation habits
• Ability to manage assigned work, deadlines, and follow-up without making unsupported assumptions
• Comfort coordinating remotely through shared systems and written communication

Qualifications

Must Haves

• Practical familiarity with Data Engineering, SQL, and Python
• Consistent accuracy when working with ETL and Data Pipelines
• Clear written communication and disciplined documentation habits
• Ability to manage assigned work, deadlines, and follow-up without making unsupported assumptions
• Comfort coordinating remotely through shared systems and written communication

Benefits

• Remote work arrangement