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