Staff Data Engineer

Posted Yesterday
3 Locations
In-Office
141K-250K Annually
Senior level
eCommerce • Legal Tech
The Role
Architects, builds, and scales data pipelines, ETL processes, data models, and platforms using dbt, Snowflake, Airflow, and Fivetran. Leads data engineering best practices including CI/CD, data quality, governance, and observability. Collaborates with Data Science, Engineering, Product, and business stakeholders; mentors engineers and data scientists; contributes to architecture and technical decisions; and participates in on-call support.
Summary Generated by Built In

​​About LegalZoom

LegalZoom 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.

 

Human-in-the-Loop

At LegalZoom, 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.

Overview

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 LegalZoom’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, 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.

  • Remote employees should confirm that the internet service available has adequate bandwidth to support all work processes.

 

The salary range for this role is (140,500-249,700). Actual compensation offered will depend on several factors including but not limited to: geographic location, work experience, education, skill level, and/or other business and organizational needs. In addition, an annual bonus, incentive bonus and/or restricted stock units may be provided as part of the compensation package. You will also receive a full range of medical, financial, and other benefits as seen below.

  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

  Plus other wellness benefits to include:

  Fertility

  Mental Health

  One Medical

Join us in making a difference as we build our future and help ensure access to professional legal advice to all! LegalZoom is an equal opportunity employer, dedicated to diversity, equality, and inclusion, and provides equal employment opportunities to all employees and applicants for employment.  LegalZoom prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.

Skills Required

  • 7+ years of experience in data engineering or a related field
  • Expert-level SQL proficiency and 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 Fivetran data pipelines, including custom connector development
  • Proficiency in Python for data engineering tasks
  • Experience with cloud data warehouses such as Snowflake, Redshift, or BigQuery
  • 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
  • Understanding of business and product goals, with the ability to align technical decisions to them
  • Adequate internet bandwidth to support all work processes for remote employees

LegalZoom Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about LegalZoom and has not been reviewed or approved by LegalZoom.

  • Healthcare Strength Health, dental, vision, life and disability coverage are complemented by mental health benefits, and health insurance options are often characterized as excellent. Wellness features like gym membership/reimbursement add to perceived healthcare value.
  • Leave & Time Off Breadth Paid time off is highlighted alongside paid holidays and maternity/paternity leave. The package is portrayed as generous and a standout component of working at the company.
  • Parental & Family Support Adoption assistance, fertility benefits, childcare benefits, and an onsite Mother’s Room are provided. These offerings reinforce support for family-building and caregiving needs.

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The Company
HQ: Mountain View, CA
1,000 Employees
Year Founded: 2001

What We Do

We are the leading online legal services company, transforming how millions of people navigate the legal system. By combining intuitive technology with access to experienced attorneys, we offer the tools and guidance people need to confidently manage all of life's legal needs.

Why Work With Us

We're a team of doers and problem solvers. We're a diverse group that insists on inclusion and thrives on feedback. We're a tech company that's in the business of providing clarity, making things simple, and creating innovative services so that legal and tax help are accessible to every business owner, creator, and every family. Join us?

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