Senior Data Engineer

About this role

📋 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

Source listing: empllo_remote