Role OverviewWe're seeking a Staff Data Engineer to join our growing Data Engineering team. In this role, you will architect, build, and scale robust data pipelines and platforms that power LegalZoom's products and analytics.
What You Will Do
Design, develop, and maintain scalable, reliable, and well-tested data pipelines and ETL processes using dbt, Snowflake, Airflow, and Fivetran. Collaborate with stakeholders to gather requirements, guide technical decisions, and deliver data solutions that align with business goals.
Why It Might Be a Fit
You will have the opportunity to mentor and guide other data engineers and data scientists, fostering a culture of technical excellence and continuous learning.
Requirements
- 7+ years of experience in data engineering or a related field
- Expert-level proficiency in SQL
- Hands-on experience with dbt for data transformation and modeling
- Experience orchestrating data workflows using Airflow
- Experience building and maintaining data pipelines with Fivetran
- Proficiency in Python for data engineering tasks
- Experience with cloud data warehouses (e.g., Snowflake, Redshift, BigQuery) and modern data stack tools
- Strong understanding of ETL/ELT best practices, data quality, and data governance
- Ability to architect and deliver highly available, scalable, and extensible solutions
- Excellent problem-solving, communication, and collaboration skills
- Experience mentoring and leading engineering teams in an Agile environment
- A strong understanding of business and product goals, and the ability to align your technical decisions to them
Benefits
- Medical, Dental, Vision Insurance
- 401k, With Matching Contributions
- Paid Time Off
- Health Savings Account (HSA)
- Flexible Spending Account (FSA)
- Short-Term/Long-Term Disability Insurance
- Fertility
- Mental Health
- One Medical
]]>