Data Engineer

Job Description

• Orchestrate pipelines for ETL, reverse ETL, business processes, data quality checks, and operational analytics. • Work with a variety of different data sets within real-world analytics projects. • Automate business operations using Airflow and product integrations from platforms like Salesforce, Zendesk, and Stripe. • Collaborate with stakeholders to translate business requirements into actionable analytics. • Drive the development of data orchestration and ETL/ELT framework for internal business operations. • Provide regular feedback on platform usage and develop tools and Airflow extensions.

Qualifications

• Data engineering and ETL/ELT experience in a production environment • SQL experience • Python fluency • Strong analytical and problem-solving skills • Excellent interpersonal and communication skills Bonus Points if you have: • Proficiency with modern data engineering tools (Apache Airflow, dbt, Snowflake, BigQuery, etc.) • Familiarity with data analysis, statistics, or machine learning • Bachelor's degree in computer science, information technology, information systems, or a related field OR 1–2 years of equivalent experience

Benefits

• Estimated salary range from $100,000 - $130,000 • Equity component • Comprehensive benefits package