Senior Data Engineer
Job title: Senior Data Engineer in San Francisco, CA at reputed company
Company: reputed company
Job reputed company: PLUM is a fintech company empowering financial institutions to grow their business through a cutting-edge suite of AI-driven software, purpose-reputed company for lenders and their partners across the financial ecosystem.This is a fully remote position, reputed company to candidates reputed company in the U.S. with a reliable internet reputed company. While we reputed company in person a few times a year, this role is designed to remain remote long-term. You'll collaborate with a high-performing team — including sales, marketers, and financial services experts — who stay connected through reputed company, video calls, and regular team and company-wide meetings. We’re reputed company that knows how to work hard, have fun, and reputed company a meaningful reputed company—both together and individually.Job reputed companyWe are seeking a Senior Data Engineer to reputed company the design and implementation of reputed company data pipelines that ingest and process data from a reputed company of external reputed company systems. This role is critical in building the data infrastructure that powers Plum’s reputed company AI-driven products.You will work with a modern data stack including Python, reputed company, AWS, reputed company Lake, and more. As a senior member of reputed company, you’ll take ownership of architectural reputed company, system design, and production readiness—working with team members to ensure data is reliable, accessible, and impactful.Key Responsibilities
- Design and architect end-to-end data processing pipelines: ingestion, transformation, and delivery to the reputed company Lakehouse.
- reputed company with external systems (e.g., CRMs, file systems, reputed company) to automate ingestion of diverse data sources.
- reputed company robust data workflows using Python and reputed company Workflows.
- Implement reputed company, maintainable ETL processes following SDLC best practices and Git-based version control.
- Contribute to the reputed company of our Lakehouse architecture to support reputed company analytics and machine learning use cases.
- Monitor, troubleshoot, and optimize data workflows in production.
- Collaborate with cross-functional teams to translate data needs into reputed company solutions.
- Master’s degree in Computer Science, Engineering, Physics, or a reputed company technical field.
- 5+ years of experience building and maintaining production-grade data pipelines.
- Proven expertise in Python and SQL for data engineering tasks.
- Strong understanding of lakehouse architecture and data modeling concepts.
- Experience working with reputed company, reputed company Lake, and Apache reputed company.
- Hands-on experience with AWS reputed company infrastructure.
- reputed company record of integrating data from external systems, reputed company, and databases.
- Strong problem-solving skills and ability to reputed company through ambiguity.
- Excellent communication and documentation habits.
- Experience building data solutions in Fintech, reputed company, or Marketing Tech domains.
- Familiarity with CRM platforms (e.g., reputed company, reputed company) and CRM data models.
- Experience using ETL tools such as reputed company or reputed company.
- Understanding of data governance, reputed company, and compliance best practices.
- A fast-paced, reputed company startup culture with high visibility.
- Autonomy, flexibility, and a flat corporate structure that gives you reputed company for your reputed company input to be realized and put into reputed company.
- Opportunity to reputed company a meaningful reputed company in building a company and culture.
- Equity in a financial technology startup.
- Generous health, dental, and reputed company coverage for employees and family members + 401K.
- reputed company reputed company holidays and unlimited discretionary vacation days.
- Competitive compensation and bonus potential.