We are seeking a Senior Data Engineer to own and evolve the data systems that power analytics, experimentation, and operational decision-making across the business. The ideal candidate will have 5-8 years of professional experience building and operating production data systems, with strong hands-on expertise in Python.
Requirements
- 5–8 years of professional experience building and operating production data systems, with strong hands-on expertise in Python.
- Ability to write clean, idiomatic, and maintainable Python, including well-structured, reusable, and testable code.
- Strong foundation in software engineering best practices, including code reviews, documentation, testing, and CI/CD.
- 6+ years of experience designing and modeling data in relational and non-relational databases, with a clear understanding of performance and scalability tradeoffs.
- Proven ability to translate analytical or business problems into practical data models and pipelines, clearly articulating design decisions.
- Experience working with modern data warehouses, including dimensional modeling, ELT workflows, and query optimization.
- Hands-on experience building, scheduling, and monitoring batch data pipelines using Airflow or comparable orchestration tools.
- Strong understanding of data architecture fundamentals, including efficient storage, retrieval, and compute usage in cloud-based systems.
- Practical experience with AWS, including core data and infrastructure services.
- Production experience with Snowflake, including schema design, performance tuning, and cost-aware usage.
- Experience working with sensitive or regulated data, and familiarity with compliance requirements such as HIPAA, GDPR, or CCPA.
- Ability to independently own and deliver well-scoped data engineering projects with minimal supervision.
- Comfortable supporting high-priority data requests and operational issues while maintaining code quality and system reliability.
- Proficiency with core technologies such as Python, SQL (MySQL/Snowflake), Airflow, AWS, and Terraform.
Benefits
- Competitive compensation and equity package (RSUs)
- Comprehensive benefits: Medical, dental, vision, FSA and HSA, supplemental coverages (critical illness, accident, hospitalization), and 401(k)
- Access to wellbeing perks, including OneMedical, Spring Health, SoFi, and Employee Assistance Program
- Flexible paid time off and holiday policy
- Paid parental leave (birthing and non-birthing parents)
- Employee donation matching program
- Culture Committee and employee resource groups for virtual and in-person connectivity
- Complimentary VIP Subscription to Curology or Agency, plus online retail discount
