Data Engineer

📋 Description

• Design and maintain automated data pipelines from Salesforce, Xero, Ramp into our data lake.
• Own end-to-end data architecture: storage, processing, and orchestration.
• Implement and maintain ETL/ELT workflows to deliver analytics-ready data.
• Partner with Data Insights to translate reporting needs into data solutions.
• Build automated validation and quality checks to prevent bad data.
• Monitor pipeline health in real time; triage failures to meet SLAs.

🎯 Requirements

• 2-3+ years of experience in Data Engineering or an equivalent role.
• Strong SQL and at least one scripting language (Python preferred).
• Hands-on experience building and maintaining ETL/ELT pipelines at scale.
• Experience with cloud data platforms (Snowflake, BigQuery, Redshift, Databricks).
• Familiarity with pipeline orchestration tools (Airflow, dbt, Fivetran, Airbyte).
• Strong data warehousing concepts, dimensional modeling, and data lake architecture.

🎁 Benefits

• Fully remote within the United States.
• Equal Opportunity Employer.