Staff Data Engineer

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. 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. Where we work We believe work should work for you. LegalZoom supports a remote-friendly environment that gives employees flexibility and balance. Our Austin, Beaverton, Frisco, Los Angeles Metro, and San Francisco Bay Area offices allow our employees to collaborate with teammates and offer special onsite events, lunches, and more. This hybrid position will work remotely as well as in our Austin, TX, Mountain View, CA, or Sherman Oaks, CA office. 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. Communicate with clarity and influence across the data organization and stakeholder groups, including presenting technical concepts and trade‑offs to leadership. Produce high‑quality technical and business documentation, including technical designs and architectural decision records. 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 with Airflow, Dagster, Prefect or similar. 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. Strong communication skills with the ability to tailor your message to the audience, whether that's walking leadership through a strategic data initiative or working through implementation details with engineers. Experience creating both business and technical documentation, including design specifications, project documents, and runbooks. 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. Benefits & Compensation Salary range: $140,500 - $224,800. Actual compensation offered will depend on several factors including 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. Full range of medical, financial and other benefits including 401k with matching contributions, short‑term/disability insurance, and long‑term disability insurance. Other wellness benefits. LegalZoom is an equal opportunity employer, dedicated to diversity, equity, 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. Additionally, LegalZoom is enrolled in the E‑Verify program. For additional information on E‑Verify, please visit Participation and Right to Work pages. #J-18808-Ljbffr LegalZoom.com, Inc.