Backend Engineer

📋 Description

• Design and maintain automated data validation for ingestion pipelines
• Build automated integrity checks to ensure data accuracy and reliability
• Identify gaps in data workflows; engineer scalable automation to improve quality and efficiency
• Write and optimize complex SQL queries for data analysis and monitoring
• Transform large datasets using PySpark or Snowpark
• Collaborate with data engineers, analysts, and stakeholders to define quality standards

🎯 Requirements

• 8+ years of relevant experience in backend, automation, data engineering, or QA/data quality
• Strong Python proficiency, including Pandas
• Experience with distributed data transformation frameworks, specifically PySpark or Snowpark
• Strong SQL and data querying across relational and analytical databases
• Proven ability to design and implement automated data validation, data integrity, and data quality checks at scale
• Solid understanding of data ingestion patterns, pipeline architecture, data transformation, and backend system design
• Excellent problem-solving, analytical, and communication skills
• Nice to have: dbt for data transformation and modeling

🎁 Benefits

• Remote work available
• Contractor role – 3 months with possible extension