Remote Principal Engineer, Data Engineering

Summary

Join a team of proven leaders who have already created billions of dollars in value in the financial technology space. We are looking for a Principal Software Engineer to join the Data Engineering team and play a pivotal role in the development and optimization of Figure’s data architecture.

Requirements

• 12+ years of experience in data engineering or related fields, with a proven track record of architecting large-scale, cloud-based data solutions
• Strong leadership skills, including experience mentoring senior engineers and leading technical teams in high-growth environments
• Expertise in distributed data processing systems (e.g., Apache Beam, Apache Spark), data pipelines (e.g., Kafka), and cloud platforms (preferably Google Cloud)
• Deep understanding of ETL processes, data warehousing concepts, and advanced data transformation techniques
• Proficiency in programming languages such as Python, Java, or Scala, with a focus on data engineering use cases
• Hands-on experience with infrastructure-as-code tools (e.g., Terraform, Kubernetes) and modern CI/CD pipelines
• Experience working with monitoring and logging frameworks (e.g., Datadog, Kibana) to ensure data platform stability and performance
• Ability to synthesize technical designs, influence build vs. buy decisions, and shape the company’s data architecture strategy
• Strong communication skills, with the ability to collaborate across teams and align technical initiatives with business objectives
• A proactive, innovative mindset with a passion for solving complex technical problems in a dynamic, fast-paced environment

Responsibilities

• Lead the architectural design and evolution of Figure's data infrastructure, ensuring scalability, reliability, and performance across the organization
• Collaborate with cross-functional teams, including Engineering, Data Science, Product, and Leadership, to develop and maintain robust, scalable data pipelines
• Shape the vision for data management, governance, and security best practices across the company, ensuring compliance with industry standards
• Lead the development and deployment of large-scale data processing frameworks, leveraging modern tools like Apache Beam, Kafka, and BigQuery
• Mentor and guide senior engineers, contributing to their technical growth while fostering a culture of excellence
• Influence company-wide technical strategies, advocating for the adoption of new technologies and frameworks that align with Figure’s goals
• Ensure that Figure’s data infrastructure supports both current and future analytics, reporting, and product development needs
• Own the overall technical strategy for the Data Engineering team, balancing short-term tactical efforts with long-term strategic goals

Benefits

• Competitive salary and growth opportunities
• Company quarterly performance based bonus
• Equity stock options package
• Employer funded comprehensive health, vision, dental insurance and wellness program for employees and their dependents
• Employer funded life and disability insurance coverage
• Company HSA, FSA, Dependent Care, 401k, and commuter benefits
• Up to 12 weeks paid family leave
• In office, remote, and hybrid work location options
• Home office and technology stipend for those working outside of a traditional office more than 75% of the time
• Flexible time-off plan to empower employees to take the time off that they want and need
• Continuing education reimbursement
• Routine Team swag deliveries!