LegalZoom Logo

LegalZoom

Staff Data Engineer

Reposted 25 Days Ago
In-Office
Mountain View, CA, USA
141K-250K Annually
Senior level
In-Office
Mountain View, CA, USA
141K-250K Annually
Senior level
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.
The summary above was generated by AI

​​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.

HQ

LegalZoom Mountain View, California, USA Office

Mountain View, CA, United States

Similar Jobs

3 Days Ago
Remote or Hybrid
United States
160K-180K Annually
Expert/Leader
160K-180K Annually
Expert/Leader
Automotive • Big Data • Information Technology • Robotics • Software • Transportation • Manufacturing
Staff Data Engineer leading architecture and technical direction for real-time and batch motorsports data platforms. Responsibilities include telemetry ingestion, streaming systems, data quality, observability, cloud platforms, reliability, incident response, technical standards, roadmap planning, stakeholder influence, and mentoring. The role delivers scalable solutions supporting race-day operations and cross-functional analytical products.
Top Skills: Apache FlinkApache KafkaSparkAWSAzureDatabricksJavaKubernetesPythonScala
19 Days Ago
Hybrid
Senior level
Senior level
Big Data • Real Estate • Software
Lead administration and strategic evolution of a petabyte-scale Snowflake data warehouse supporting more than 900 users. Responsibilities include platform reliability, incident response, security and governance, monitoring, automation, schema migration, cost optimization, data quality, and compliance. The role partners with data and analytics teams, evaluates technologies, leads architecture reviews, and mentors engineers on Snowflake administration and data warehouse best practices.
Top Skills: AirflowAWSAzureDataformDbtGCPPythonSnowflakeSQLStreamlitTerraform
9 Days Ago
Hybrid
Senior level
Senior level
Big Data • Real Estate • Software
Architect and lead enterprise data quality, observability, and validation frameworks for lead management systems. Own data integrity across ingestion, processing, and delivery pipelines; define data contracts, governance standards, SLAs, dashboards, and alerting. Diagnose systemic issues across distributed data flows, drive scalable architectural solutions, advise senior stakeholders, and mentor data engineers. Partner cross-functionally with Engineering, Product, and Data Science to improve reliability, customer fulfillment, and marketplace performance.
Top Skills: Automated AlertingAutomated TestingDashboardsData ContractsData GovernanceData ModelingData PipelinesData WarehousingDistributed SystemsEltETLObservabilityPythonSQLTelemetry

What you need to know about the San Francisco Tech Scene

San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.

Key Facts About San Francisco Tech

  • Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Google, Apple, Salesforce, Meta
  • Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
  • Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
  • Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account