Data Engineer

Role Purpose:

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 35 hours overlap with US EST/CST/PST

Required Qualifications:

- 24 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