Staff Data Engineer

Legalzoom

Austin (TX)

Hybrid

USD 141,000 - 250,000

Full time

2 days ago
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Benefits offered by this job

Medical, Dental, Vision Insurance
401k with Matching Contributions
Paid Time Off
Health Savings Account (HSA)
Flexible Spending Account (FSA)
Disability Insurance (Short/Long-Term)

Job summary

LegalZoom is seeking a Staff Data Engineer to design and scale robust data pipelines that power our products and analytics. You will partner with Data Science, Engineering, and Product to deliver high-impact solutions, mentor teammates, and advance technical excellence across the organization.

You will design data models, lead data quality and governance efforts, and contribute to architecture discussions while maintaining an on-call readiness.

Qualifications

  • 7+ years of experience in data engineering or a related field.
  • Expert-level proficiency in SQL with data modeling/transformation experience.
  • Hands-on experience with dbt for transformation and modeling.
  • Experience orchestrating data workflows using Airflow.
  • Experience with Fivetran including custom connectors.
  • Proficiency in Python for data engineering tasks.
  • Experience with Snowflake/Redshift/BigQuery and modern data stack tools.
  • Strong understanding of ETL/ELT, data quality, and governance.
  • Ability to architect scalable, available solutions.
  • Excellent problem-solving and collaboration skills.
  • Experience mentoring teams in Agile environments.

Responsibilities

  • Design, develop, and maintain scalable data pipelines and ETL processes.
  • Architect new data models to support business needs with high availability and performance.
  • Lead adoption of data engineering best practices including CI/CD and observability.
  • Collaborate with stakeholders to gather requirements and deliver data solutions.
  • Mentor and guide data engineers and data scientists in the team.
  • Participate in code reviews and technical decision-making.
  • Stay current with industry trends and advocate best practices.
  • Join on-call rotations to address high-priority incidents.
  • Occasional travel may be required.

Skills

SQL
Data modeling
Data transformation
Python
Mentoring
Agile

Tools

dbt
Airflow
Fivetran
Snowflake
Redshift
BigQuery

Job description

Description

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

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.

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