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Figure
$156k - $195k
San Francisco, CA

About Figure Figure is revolutionizing financial services with its disruptive, scaled, and rapidly expanding technology platform. By capitalizing on the loan origination activities on its platform and extensive network of partners, Figure is poised to deliver and scale new products that enhance efficiency and transparency in the industry. Through the integration of cutting-edge technology, Figure’s platform fosters more transparent and efficient capital markets, bolstered by the growing pool of assets originated on its platform. This transformational journey is fueled by a dedicated team at Figure, characterized by their drive, innovation, collaboration, and passion for building from scratch. We value individuals who bring an entrepreneurial mindset to every task and will embrace our culture of innovation.  Every day at Figure is a journey in continuous learning yet a daily focus on getting work done that makes a difference. Join a team of proven leaders who have already created billions of dollars in value in the financial technology space. FastCo Most Innovative Companies Forbes Top 50 Blockchain Companies About the Role 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. As a Principal Engineer, you will be responsible for driving the design and implementation of scalable data solutions that directly support Figure’s broader organizational goals. You will lead strategic initiatives with a focus on creating data platforms and systems that power our business applications, decision-making, and reporting infrastructure. In this role, you will influence the technical direction of our data engineering efforts, collaborating across teams to build systems that impact the entire company. This position is ideal for a seasoned technical leader with a deep understanding of data engineering who thrives in fast-paced, high-impact environments. What You’ll Do

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.

What We Look For

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.

Our Tech Stack As a Principal Engineer, you’ll have deep familiarity with our core tech stack and be capable of driving innovation across it: 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 Principal Engineer Requirements

Proven ability to influence strategic decisions that impact company-wide data initiatives. Expertise in architecting systems with company-wide and industry-wide implications. A track record of leading large-scale, cross-functional projects and delivering high-quality results with minimal oversight. Strong external network and ability to represent Figure in technical forums and industry discussions. Experience driving and implementing data governance frameworks and security best practices. Ability to synthesize company strategy into actionable engineering roadmaps and solutions.

Benefits and Perks

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!

For CO, NY, CA, and WA residents, the salary range is $156,640 - $195,800 with up to a 25% Bonus and Equity. Actual compensation may vary based on individual candidate experience and location. Depending on your residential location certain laws might regulate the way Figure manages applicant data. California Residents, please review our California Employee and General Workforce 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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Is Kotlin a good career?

Yes, Kotlin is a good career choice for developers who want to work in the Android app development, backend development, or cross-platform development space

Kotlin is a modern programming language that was designed to improve upon some of the shortcomings of Java, making it more concise, safe, and interoperable with other languages

Here are some reasons why Kotlin is a good career choice:

  1. High Demand: Kotlin is in high demand in the technology industry, especially in the Android app development space. Many companies are now using Kotlin to develop their Android apps, and the demand for Kotlin developers is growing rapidly.
  2. Compatibility: Kotlin is interoperable with Java, which means that developers can use both languages in the same project. This makes it easy for developers to migrate from Java to Kotlin and vice versa, and it also makes it easier to integrate Kotlin into existing Java-based projects.
  3. Easy to Learn: Kotlin is relatively easy to learn for developers who are already familiar with Java or other similar programming languages. Kotlin has a simpler syntax than Java, making it easier to read and write code.
  4. Concise and Safe: Kotlin is a more concise language than Java, which means that developers can write less code to achieve the same functionality. Additionally, Kotlin has built-in null safety features that help developers avoid common errors and bugs.
  5. Career Growth: Kotlin is a relatively new language, which means that there is a lot of room for growth and innovation. Developers who are proficient in Kotlin have the opportunity to contribute to the development of the language and its ecosystem, which can lead to career growth and advancement.