Senior Data Engineer

📋 Description

• Design and build scalable, production-grade data pipelines and data models to power downstream
• Implement and enforce data validation, testing, and QA standards across data models to ensure
• Partner with App Engineering to understand source systems and define how raw data should be
• Collaborate with Analytics Engineering, BI, and business stakeholders to translate ambiguous
• Ensure data models comply with data security and privacy regulations (e.g., GDPR, CCPA, GLBA)
• Mentor other data engineers on modeling best practices, documentation, and data processing patterns

🎯 Requirements

• 4+ years of experience in data engineering, analytics engineering, or dimensional modeling roles
• Advanced SQL skills, with experience transforming data from multiple sources into a scalable
• Proficiency in Python (Pandas, NumPy, etc.) for data transformation and pipeline development
• Expertise in dimensional modeling, ELT workflows, and modern data architecture patterns
• Proven ability to model raw, complex data into well-structured, analytics-ready datasets
• Experience working with platforms such as Databricks, Snowflake, or Redshift

🎁 Benefits

• Competitive salary and company equity through Restricted Stock Units (RSUs), granted as part of our
• 401(k) with company match up to 4% of eligible earnings
• Multiple medical plan options, plus dental and vision coverage
• Company-funded HSA contributions (based on medical plan selection)
• Company-paid life insurance and short-term disability
• A variety of supplemental benefit options, including long-term disability, critical illness