Senior Data Engineer
Job title: Senior Data Engineer in San Francisco, CA at Plum Inc
Company: Plum Inc
Job description: PLUM is a fintech company empowering financial institutions to grow their business through a cutting-edge suite of AI-driven software, purpose-built for lenders and their partners across the financial ecosystem.This is a fully remote position, open to candidates anywhere in the U.S. with a reliable internet connection. While we gather in person a few times a year, this role is designed to remain remote long-term. You'll collaborate with a high-performing team â including sales, marketers, and financial services experts â who stay connected through Slack, video calls, and regular team and company-wide meetings. Weâre a team that knows how to work hard, have fun, and make a meaningful impactâboth together and individually.Job SummaryWe are seeking a Senior Data Engineer to lead the design and implementation of scalable data pipelines that ingest and process data from a variety of external client systems. This role is critical in building the data infrastructure that powers Plumâs next-generation AI-driven products.You will work with a modern data stack including Python, Databricks, AWS, Delta Lake, and more. As a senior member of the team, youâll take ownership of architectural decisions, system design, and production readinessâworking 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 Delta Lakehouse.
Integrate with external systems (e.g., CRMs, file systems, APIs) to automate ingestion of diverse data sources.
Develop robust data workflows using Python and Databricks Workflows.
Implement modular, maintainable ETL processes following SDLC best practices and Git-based version control.
Contribute to the evolution of our Lakehouse architecture to support downstream analytics and machine learning use cases.
Monitor, troubleshoot, and optimize data workflows in production.
Collaborate with cross-functional teams to translate data needs into scalable solutions.
Requirements
Masterâs degree in Computer Science, Engineering, Physics, or a related 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 Databricks, Delta Lake, and Apache Spark.
Hands-on experience with AWS cloud infrastructure.
Track record of integrating data from external systems, APIs, and databases.
Strong problem-solving skills and ability to lead through ambiguity.
Excellent communication and documentation habits.
Preferred Qualifications
Experience building data solutions in Fintech, Sales Tech, or Marketing Tech domains.
Familiarity with CRM platforms (e.g., Salesforce, HubSpot) and CRM data models.
Experience using ETL tools such as Fivetran or Airbyte.
Understanding of data governance, security, and compliance best practices.
BenefitsBenefits and Compensation
A fast-paced, collaborative startup culture with high visibility.
Autonomy, flexibility, and a flat corporate structure that gives you the opportunity for your direct input to be realized and put into action.
Opportunity to make a meaningful impact in building a company and culture.
Equity in a financial technology startup.
Generous health, dental, and vision coverage for employees and family members + 401K.
Eleven paid holidays and unlimited discretionary vacation days.
Competitive compensation and bonus potential.
Plum is a national financial services brand, utilizing our corporate leadership in data science and AI to service a broad variety of CRE and other financial firms, enabling them to become more profitable as a result of our proprietary technology. Plum is backed by leading investors including Softbank, Elliot Management, and others.Our CEO, Bill Fisher, has a seasoned history of building successful startup businesses, including , Xing and Trivago. Our team includes senior leaders and talent from AIG, Goldman Sachs, KKR, PWC, Bank of America, Meridian Capital, JP Morgan, Freddie Mac, US Bank, Truist Bank, Guggenheim, Trimont, and Wells Fargo.The range displayed on each job posting reflects the minimum and maximum target for new hire salaries. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. We also offer a comprehensive benefits package.
Expected salary: $140000 - 185000 per year
Location: San Francisco, CA
Apply for the job now!
Apply Now
Company: Plum Inc
Job description: PLUM is a fintech company empowering financial institutions to grow their business through a cutting-edge suite of AI-driven software, purpose-built for lenders and their partners across the financial ecosystem.This is a fully remote position, open to candidates anywhere in the U.S. with a reliable internet connection. While we gather in person a few times a year, this role is designed to remain remote long-term. You'll collaborate with a high-performing team â including sales, marketers, and financial services experts â who stay connected through Slack, video calls, and regular team and company-wide meetings. Weâre a team that knows how to work hard, have fun, and make a meaningful impactâboth together and individually.Job SummaryWe are seeking a Senior Data Engineer to lead the design and implementation of scalable data pipelines that ingest and process data from a variety of external client systems. This role is critical in building the data infrastructure that powers Plumâs next-generation AI-driven products.You will work with a modern data stack including Python, Databricks, AWS, Delta Lake, and more. As a senior member of the team, youâll take ownership of architectural decisions, system design, and production readinessâworking 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 Delta Lakehouse.
Integrate with external systems (e.g., CRMs, file systems, APIs) to automate ingestion of diverse data sources.
Develop robust data workflows using Python and Databricks Workflows.
Implement modular, maintainable ETL processes following SDLC best practices and Git-based version control.
Contribute to the evolution of our Lakehouse architecture to support downstream analytics and machine learning use cases.
Monitor, troubleshoot, and optimize data workflows in production.
Collaborate with cross-functional teams to translate data needs into scalable solutions.
Requirements
Masterâs degree in Computer Science, Engineering, Physics, or a related 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 Databricks, Delta Lake, and Apache Spark.
Hands-on experience with AWS cloud infrastructure.
Track record of integrating data from external systems, APIs, and databases.
Strong problem-solving skills and ability to lead through ambiguity.
Excellent communication and documentation habits.
Preferred Qualifications
Experience building data solutions in Fintech, Sales Tech, or Marketing Tech domains.
Familiarity with CRM platforms (e.g., Salesforce, HubSpot) and CRM data models.
Experience using ETL tools such as Fivetran or Airbyte.
Understanding of data governance, security, and compliance best practices.
BenefitsBenefits and Compensation
A fast-paced, collaborative startup culture with high visibility.
Autonomy, flexibility, and a flat corporate structure that gives you the opportunity for your direct input to be realized and put into action.
Opportunity to make a meaningful impact in building a company and culture.
Equity in a financial technology startup.
Generous health, dental, and vision coverage for employees and family members + 401K.
Eleven paid holidays and unlimited discretionary vacation days.
Competitive compensation and bonus potential.
Plum is a national financial services brand, utilizing our corporate leadership in data science and AI to service a broad variety of CRE and other financial firms, enabling them to become more profitable as a result of our proprietary technology. Plum is backed by leading investors including Softbank, Elliot Management, and others.Our CEO, Bill Fisher, has a seasoned history of building successful startup businesses, including , Xing and Trivago. Our team includes senior leaders and talent from AIG, Goldman Sachs, KKR, PWC, Bank of America, Meridian Capital, JP Morgan, Freddie Mac, US Bank, Truist Bank, Guggenheim, Trimont, and Wells Fargo.The range displayed on each job posting reflects the minimum and maximum target for new hire salaries. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. We also offer a comprehensive benefits package.
Expected salary: $140000 - 185000 per year
Location: San Francisco, CA
Apply for the job now!
Apply Now