Senior Data Engineer - Remote

Overview

The Senior Data Engineer will architect and manage robust data pipelines and infrastructure that support ML/AI workflows, analytics, and business intelligence across our platform.

In Short

• Design, build, and maintain scalable data pipelines.
• Create a centralized data hub for analytics and reporting.
• Manage operational data pipelines for AI and ML models.
• Implement and manage a medallion architecture in Snowflake.
• Use DBT for data transformation logic.
• Collaborate with stakeholders to understand data needs.
• Optimize data infrastructure for performance and cost.

Requirements

• 4+ years of experience in data engineering.
• Expertise in data pipelines and ETL/ELT workflows.
• Advanced SQL proficiency.
• Experience with Snowflake as a cloud data warehouse.
• Knowledge of streaming data technologies.
• Experience with medallion architecture.
• Experience deploying infrastructure in cloud ecosystems, ideally AWS.
• Bachelor's degree in a quantitative field.

Benefits

• Unlimited paid time off.
• Comprehensive health plans.
• 401(k) with company match.
• Paid parental leave.
• Company-paid life insurance.
• Pet insurance.
• 11 company holidays.
• Paid sick time and volunteer day.
• Flexible spending accounts.
• Fully remote workplace.