Staff Data Engineer
Staff Data Engineer architects scalable data infrastructure, leads ETL/ELT pipelines and data modeling using Snowflake, dbt, Airflow, and Python. Requires 9+ years experience, mentoring skills, and marketplace background.
About the job
Responsibilities
- Define the future state of data infrastructure, set architectural direction, and establish organization-wide data standards.
- Design highly scalable and optimized data models.
- Lead complex, multi-functional initiatives focused on data quality governance and pipeline maturity.
- Influence technology choices, mentor engineers, and act as technical interface with senior stakeholders.
Requirements
- 9+ years of experience in data engineering, architecting and shipping large-scale data products.
- Expert proficiency in Snowflake, dbt, Apache Airflow, and Python; define best practices and patterns.
- Deep mastery of advanced data modeling techniques for production systems.
- Proven architectural ownership, defining technical roadmaps and managing technical debt across teams.
- Strong track record of mentoring and elevating engineering skills of data engineers.
- 2+ years of marketplace or two-sided platform experience (preferred).
Compensation & Benefits
Base pay range: $212,000 - $265,000 (depending on qualifications, experience, location).
- Equity compensation.
- Medical, Dental, Vision; HSA/FSA; 401K.
- Work-from-Home Stipend, Therapy Reimbursement, 16-week parental leave, Carrot Fertility.
- 13 paid holidays, Holiday Break, Flexible PTO, EAP, training.
Skills
Snowflake, dbt, Apache Airflow, Python, ETL, ELT, Data Modeling, Data Pipelines, Data Quality, Marketplace Platforms
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