Data Engineer - Mid (4 - 6 years)

Overview

Role overview
Build and maintain scalable, reliable data pipelines and analytics-ready models. This is a hands-on, customer-facing role requiring strong problem-solving, ownership, and the ability to work independently with US-based customers.

Key responsibilities

• Build ELT pipelines using BigQuery OR Snowflake, dbt, and cloud services
• Write production-grade Python code for ingestion, transformation, and automation
• Design analytics-ready data models
• Work directly with customers to gather and clarify requirements
• Ensure data quality via testing, validation, and monitoring
• Debug pipeline failures, data issues, and performance bottlenecks
• Participate in code reviews and follow engineering best practices
• Work with 3–5 hours overlap with US EST/CST/PST

Required experience and skills

• 4+ years of data engineering or analytics engineering experience
• Strong SQL (joins, CTEs, window functions)
• Hands-on BigQuery OR Snowflake
• Strong Python coding used in production pipelines
• Experience with dbt (models and tests)
• Prior customer-facing or stakeholder-facing experience
• Strong ownership and accountability mindset

Nice to have

• Reliable pipelines with minimal production issues
• Clear communication with customers and stakeholders
• Well-tested, maintainable SQL and Python code