About the company
About Figure Figure is transforming the trillion dollar financial services industry using blockchain technology. In three short years, Figure has unveiled a series of fintech firsts using the Provenance blockchain for loan origination, equity management, private fund services, banking and payments sectors - bringing speed, efficiency and savings to both consumers and institutions. Today, Figure is one of less than a thousand companies considered a unicorn, globally. Our mission requires us to have a creative, team-oriented, and supportive environment where everyone can do their absolute best. The team is composed of driven, innovative, collaborative, and curious people who love architecting ground-breaking technologies. 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 FinTech space!
Job Summary
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).
