Data Engineer

Description

About Legal Zoom

Legal Zoom is on a mission to help people navigate the legal system with confidence and clarity. As a leader in online legal services for over 25 years, we combine technology, attorney-led solutions, and expertise to protect the aspirations, lives, and legacies of millions of customers. If you’re ready to contribute to a collaborative, diverse, and distributed group of creative thinkers and problem-solvers, we can’t wait to meet you.

This hybrid position will work remotely as well as onsite in our Mountain View, Sherman Oaks, or Austin offices.

At Legal Zoom, we operate with a human-in-the-loop model, where AI enhances—rather than replaces—human judgment. We believe the strongest outcomes for our customers come from thoughtfully integrating human expertise with AI capabilities to improve accuracy, safety, and decision-making.

To align with our AI-integrated operating model, our interview process will assess AI fluency, curiosity, and measurable/impactful workflow integration.

We’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 Legal Zoom’s products and analytics. You’ll collaborate closely with cross-functional partners in Data Science, Engineering, and Product to deliver high-impact solutions, mentor others on the data team, and drive technical excellence across the organization.

You will

• Design, develop, and maintain scalable, reliable, and well-tested data pipelines and ETL processes using dbt, Snowflake, Airflow, and Fivetran.
• Architect net new data models to support business needs, ensuring high availability, performance, and extensibility.
• Lead the adoption and integration of modern data engineering best practices, including CI/CD, data quality, and observability.
• Collaborate with stakeholders to gather requirements, guide technical decisions, and deliver data solutions that align with business goals.
• Mentor and guide other data engineers and data scientists, fostering a culture of technical excellence and continuous learning.
• Participate in code reviews, architecture discussions, and technical decision-making.
• Stay current with industry trends and emerging technologies, advocating for best practices.
• Participate in an on-call rotation to address high priority incidents.
• Occasional travel may be required as needed.

You have

• 7+ years of experience in data engineering or a related field, with a proven track record of building and maintaining complex data systems at scale.
• Expert-level proficiency in SQL, with deep experience in data modeling and transformation.
• Hands-on experience with dbt for data transformation and modeling.
• Experience orchestrating data workflows using Airflow.
• Experience building and maintaining data pipelines with Fivetran, including custom connector development.
• Proficiency in Python for data engineering tasks.
• Experience with cloud data warehouses (e.g., Snowflake, Redshift, Big Query) 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.
• Remote employees should confirm that the internet service available has adequate bandwidth to support all work processes.

The salary range for this role is ,700). Actual compensation offered will depend on several factors including but not limited to: geographic location, work…