Data Engineer, Finance Technology & Digital Transformation

Wilson Sonsini is the premier legal advisor to technology, life sciences, and other growth enterprises worldwide. We represent companies at every stage of development, from entrepreneurial start-ups to multibillion-dollar global corporations, as well as the venture firms, private equity firms, and investment banks that finance and advise them. The firm has approximately 1,100 attorneys in 17 offices: 13 in the U.S., two in China, and two in Europe. Our broad spectrum of practices and entrepreneurial spirit allow exceptional opportunities for professional achievement and career growth.

We are currently seeking a Data Engineer to join the Finance Technology and Digital Transformation team in our Finance Department. This role will support the rapid growth of FinTech across many departments at the firm.

This position is available for a hybrid work schedule (two days per week onsite).

Essential Duties and Responsibilities:

• Adapt and optimize firm-standard ETL/ELT data pipelines to ensure accurate and timely data integration to and from firm data repositories.
• Manage finance-related data models, schemas, and structures to support analytics and reporting needs.
• Translate complex business requirements into intuitive and actionable reports.
• Partner with business stakeholders to define KPIs and ensure consistent reporting standards.
• Integrate firm-level information security policies and processes to ensure data accuracy, integrity, and security.
• Monitor and troubleshoot data workflows, ensuring performance optimization.
• Support firm data governance practices and DLP policies, including data classification, access controls, documentation and change management procedures. Work closely with business analysts, data scientists, and IT teams to ensure compliance, mitigate risk and deliver full-cycle data solutions.
• Mentor junior data specialists, analysts, and other engineers, and contribute to the firm’s best practices and technical standards.
• Be a key contributor and resource to the firm’s overall data strategy and architecture, including the development of best practices and procedures for developing and providing reports, dashboards and other data services throughout the firm.

Education and Work Experience Requirements:

• Bachelor’s or master’s degree in computer science, Information Systems, Data Engineering, or related field.
• 8+ years of hands-on experience in data warehouse development and optimization, ETL/ELT development, and SSRS reporting solutions.
• Strong expertise in SQL (query optimization, stored procedures, indexing).
• Proficiency with Azure data lake/warehouse technologies (Azure Synapse, Azure Databricks, Microsoft Fabric, etc.).
• Experience with ETL tools (Informatica, Talend, SSIS, dbt, or similar).
• Solid understanding of data modeling (star schema, snowflake schema, OLAP/OLTP concepts).
• Knowledge of cloud platforms (Azure) and modern data stack tools.
• Strong problem-solving, analytical, and communication skills.

The primary location for this job posting is in Palo Alto, but other locations may be listed. The actual base pay offered will depend upon a variety of factors, including but not limited to the selected candidate’s qualifications, years of relevant experience, level of education, professional certifications and licenses, and work location. The anticipated pay range for this position is as follows:

Palo Alto, San Francisco: $131,750 - $178,250 per year.

The compensation for this position may include a discretionary year-end merit bonus based on performance. We offer a highly competitive salary and benefits package.

Benefits information can be found here. Equal Opportunity Employer (EOE).