Lead Data Engineer

Happen Bank(formerly LendingClub)is built around a simple purpose: to clear the way to help people turn intention into action and action intofinancial progress. That means offering focused products a frictionless mobile-first experience and clear terms with no gotchas. Respect and fairness is part of our DNA and that ideal shapes how we work how we treat each other and how we invest in our employees and our community. Join us in using data bold thinking and a commitment to innovation to help clear the way for millions of Americans to achieve more.

Happen Banks Data Operations Center ensures consistent reliable delivery of data that powers critical business functions across finance accounting investor reporting and collections. As a Lead Data Engineer youll lead the Financial Data Operations team owning the pipelines that support month-end close investor servicing revenue recognition and other high-impact processes that keep the business running smoothly. Youll act as the bridge between engineering product and business stakeholders while building team capability and driving operational excellence through smart automation and AI-driven improvements.

• Lead a cross-functional scrum team of onshore and offshore data engineers setting priorities and removing blockers to deliver reliable data products
• Own the architecture maintenance and continuous improvement of critical financial data pipelines that support GL automation investor reporting tax documents and collections workflows
• Partner with finance accounting and operations stakeholders to translate business requirements into scalable technical solutions
• Drive adoption of modern data platform capabilities including Databricks dbt Elementary and Dagster while maintaining existing production systems
• Identify opportunities to leverage AI tools for QA automation code review performance optimization and documentation standardization
• Build and improve monitoring alerting and observability practices to ensure pipeline reliability and rapid incident response
• Establish coding standards and data quality frameworks that scale across the team and reduce operational overhead
• Use AI to create intelligent runbooks diagnostic agents and self-service tools that empower L1 support and accelerate troubleshooting

• 7 years of experience in data engineering with 2 years leading teams or projects in a technical lead capacity; bachelors degree in a related field; or equivalent work experience
• You have hands-on experience using AI tools to accelerate your work and improve output quality youre equally comfortable using them yourself and showing colleagues how and youre thoughtful about limitations and where human judgment matters most
• Strong expertise in SQL data modeling data warehouse concepts and building production data pipelines at scale
• Experience with orchestration tools such as Airflow Oozie or Dagster and distributed processing frameworks like Spark or PySpark
• Working knowledge of AWS services (EMR S3 Redshift) and modern data platforms such as Snowflake or Databricks
• You take ownership of outcomes proactively identifying risks and workflow improvements before they become blockers
• Strong communication and organizational skills with experience collaborating across business product and engineering teams
• Experience leading or mentoring offshore engineering teams and managing work across time zones
• You balance technical depth with business context understanding how data pipelines support financial processes and regulatory requirements

• Experience with dbt for data transformation and Elementary for data validation
• Hands-on use of AI tools such as Claude ChatGPT or GitHub Copilot to improve development workflows
• Background in financial services accounting systems or investor reporting processes
• Experience building self-service analytics tools using Streamlit or similar frameworks
• Familiarity with data quality frameworks alerting systems and SRE practices for data infrastructure

Work Location
San Francisco

The above locations are eligible offices for this locations have been determined to foster in-person collaboration with this roles team or the related business lines. We utilize a hybrid work model and our teams are in-office Tuesdays Wednesdays and -person attendance is essential for this roles success and remote placement will not be Bank offers relocation based on actual job level.

Time Zone Requirements
Local hours (PT)

While the position will primarily work local hours Happen Bank is headquartered in Pacific Time and our ideal candidate will be flexible working across time zones when necessary.

Travel Requirements
As needed travel to Happen Bank offices and/or other locations as needed.

Compensation
The target base salary range for this position is 00. The base salary of the role will be determined by job-related knowledge experience education skills and location. Base salary is just one part of Happen Banks Total Rewards package. You may also be eligible for long-term awards (equity) and an annual bonus (which is based on company performance employee performance and eligible earnings).

Were creating new financial services solutions for our members based on fairness simplicity and heart and we treat our employees the same way. We offer a competitive benefits package that includes medical dental and vision plans for employees and their families 401(k) match health and wellness programs flexible time off policies for salaried employees up to 16 weeks paid parental leave and more.

#LI-Hybrid
#LI-JH1

Happen Bank is an equal opportunity employer and dedicated to diversity equity and inclusion in the workplace. We do not discriminate on the basis of race religion color national origin sex (including pregnancy childbirth reproductive health decisions or related medical conditions) gender gender identity gender expression sexual orientation age marital status veteran status disability status political views or activity or other applicable legally protected characteristics. We believe that a variety of perspectives will make our teams and business stronger as we work together to transform the traditional banking system.

We are committed to providing reasonable accommodations for qualified individuals with disabilities in our job application process. If you need assistance or an accommodation due to a disability please contact us at

Notice on AI Tool Use

For select roles and locations candidate interviews may be recorded transcribed and summarized by tools such as artificial intelligence (AI) to assist our hiring managers with the application process.

You will have the opportunity to opt out of recording transcription and summarization prior to any scheduled interviews. We will not discriminate against you if you choose to opt out.

During the interview we will collect the following categories of personal information from or about you: contact information identifiers professional and employment-related information sensory information (audio/video recording) and any other categories of personal information you choose to share with us. We will use this information to evaluate your application for employment.

We will only share your interview transcription or summary with persons whose expertise or technology is necessary to process your application evaluate your fitness for a position and administer or support the tool. We will not sell your personal information or disclose it to any third party for their marketing purposes. For more information about how we will handle your personal information please refer to our Privacy Disclosure.

We will delete any recording of your interview promptly but in no event later than 30 days after making a hiring decision.