Data Engineer

Key Responsibilities:

• Design, build, and maintain robust, scalable ELT/ETL data pipelines (batch and streaming) from various source systems into cloud data platforms and warehouses.
• Perform data modeling, including dimensional modeling, and build transformation layers using dbt to create clean, well-documented, analytics-ready datasets.
• Support operational reliability, monitor data pipelines, and ensure SLAs for timeliness, freshness, and accuracy are consistently met.

Requirements:

• 7+ years of professional experience in data engineering or a closely related role.
• Strong proficiency in SQL and Python, with hands-on experience building data pipelines on cloud platforms like Snowflake, BigQuery, or Redshift.
• Experience with data orchestration tools (e.g., Apache Airflow) and solid understanding of data modeling techniques.

What We Offer:

• Comprehensive health benefits: Medical, dental, and vision coverage (100% employer-paid for employees).
• Flexible PTO with unlimited vacation and encouragement to actually use it.
• Remote-first policy with work from anywhere in the US, plus an annual learning stipend and modern tech stack tools.