Senior Software Engineer, Data Engineering

About Figure

Figure is revolutionizing financial services with its disruptive technology platform. Our flagship product is the #1 non-bank HELOC in America. We’re delivering new consumer lending products and a capital markets ecosystem that maximize efficiency and transparency – by capitalizing on our loan origination activities, extensive network of partners, and growing pool of assets.

Join a team of 450+ people at Figure who have originated $11+ billion in loan volume. We’re very profitable and growing fast!

Figure has raised $469 million from top investors like Ribbit Capital, DST, Apollo, and Morgan Creek.

Wealthfront Career-Launching Company 

Figure Series D Announcement

About the Role

Figure Technology Solutions is expanding its Data Engineering team as we continue to grow our business and enhance our technological capabilities. We are looking for innovative, curious, and collaborative engineers who are passionate about building and maintaining data infrastructure that drives decision-making and powers our applications. As part of the Data Engineering team, you will play a critical role in designing, building, and optimizing the data pipelines that connect various applications, external data sources, analytics, and reporting systems.

At Figure, every engineer makes a significant impact, and our Data Engineering team is at the core of this, ensuring that data flows seamlessly and efficiently throughout the organization. This position is perfect for someone who thrives in a fast-paced environment and is excited by the challenge of working on data infrastructure that supports a blockchain-native financial services platform.

What You’ll Do

• Collaborate with cross-functional teams, including Engineering, Data Science, Product, and Leadership, to develop and maintain robust data pipelines.
• Ingest and process data from a variety of sources, including Figure's Kafka topics, into our data lake (BigQuery).
• Design and implement data transformation processes to convert raw data into formats optimized for analytics and reporting.
• Develop and maintain tools and frameworks that support Data Science and Data Analytics initiatives.
• Build and manage infrastructure that enables both internal and external reporting, ensuring data is accessible, reliable, and secure.
• Work closely with DevOps and SecOps teams to ensure data infrastructure is secure and compliant with industry standards.
• Troubleshoot and optimize data pipelines to enhance performance and reduce latency.
• Participate in code reviews, contribute to best practices, and help mentor junior engineers on the team.
• Stay current with industry trends and emerging technologies, and advocate for their adoption when they align with our strategic goals.

What We Look For

• Team player with a proactive attitude and a passion for solving complex data problems.
• BS/BA or greater in Computer Science, Data Engineering, or a related field.
• 5+ years of software engineering experience with a focus on data engineering or related fields.
• Proficiency in data pipeline tools and technologies (e.g., Kafka, BigQuery, ETL frameworks).
• Strong programming skills in languages such as Python, Java, or Scala.
• Experience with cloud-based data platforms (e.g., GCP, AWS).
• Familiarity with data transformation processes and tools (e.g., SQL, dbt, Apache Beam).
• Ability to work independently and execute projects with minimal supervision.
• Strong problem-solving skills and a track record of delivering end-to-end data solutions.
• Excellent communication skills and the ability to collaborate effectively with technical and non-technical stakeholders.

Our Tech Stack

While proficiency in our tech stack is a plus, those comfortable with similar stacks are encouraged to apply.

• Frontend proficiencies in React, React Query, Typescript or JavaScript, Tailwind, and Vite are desirable.
• Familiarity with backend technologies, including Kotlin, SpringBoot, PostgreSQL, Kafka, Google Cloud Platform, and Kubernetes, is a plus.

Application Team Tech Stack

While proficiency in our tech stack is a plus, we encourage those comfortable with similar technologies to apply. The application teams work with the following technologies:

• Frontend: React, React Query, TypeScript/JavaScript, Tailwind, Vite
• Backend: Kotlin, SpringBoot, PostgreSQL, Kafka, Google Cloud Platform, Kubernetes

Data Engineering Tech Stack

As a Senior Software Engineer on the Data Engineering team, you’ll be working with a robust and modern tech stack that includes:

• Data Platform: Google Cloud - BigQuery, Kafka (Confluent Cloud)
• Data Processing: Apache Beam (Java), Apache Spark (Python), Airflow
• Infrastructure & Deployment: Kubernetes, Terraform, Helm
• Monitoring & Management: Datadog, Kibana
• Integration & Configuration: Python, Kotlin, React

Additional Senior Engineer Requirements

• Proficiency with distributed data processing frameworks like Apache Beam, Spark, or similar technologies.
• Experience in building and optimizing large-scale data pipelines in cloud environments, particularly on Google Cloud Platform.
• Deep understanding of ETL processes, data warehousing concepts, and data integration techniques.
• Strong expertise in programming with Python and Java, with a focus on data engineering use cases.
• Hands-on experience with infrastructure-as-code tools like Terraform and Kubernetes for managing and scaling data infrastructure.
• Familiarity with monitoring and logging tools such as Datadog and Kibana, with an emphasis on maintaining high availability and performance.
• Ability to design and implement scalable data solutions that align with the needs of both internal and external stakeholders.
• Solid understanding of event-driven architectures and experience with Kafka or other similar event streaming platforms.
• Knowledge of data governance, security, and compliance best practices, especially in financial services.
• Ability to lead technical discussions, provide mentorship to junior engineers, and drive continuous improvement within the team.

Salary

• Compensation Range: $132,000 - $165,000
• Quarterly 25% bonus target
• Equity stock options package
• This is the compensation range for the United States, actual compensation may vary based on individual candidate experience, location, or evolving business needs

Benefits

• Comprehensive health, vision, and dental insurance with 100% employer-paid premiums for employees and their dependents on select plans
• Company HSA, FSA, Dependent Care, 401k, and commuter benefits
• Employer-funded life and disability insurance coverage
• 11 Observed Holidays & PTO plan
• Up to 12 weeks paid family leave
• Continuing education reimbursement

Depending on your residential location certain laws might regulate the way Figure manages applicant data. California Residents, please review our California Employee and Prospective Employee Privacy Notice for further information. By submitting your application, you are agreeing  and acknowledging that you have read and understand the above notice.

Figure will not sponsor work visas for this position. In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States and to complete the required employment eligibility verification form upon hire.

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