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Senior Data Engineer
2 months ago
Figure is a leading financial technology firm that is revolutionizing the way homeowners tap into their liquidity. Our mission is to maximize the value of homeownership in ways that benefit consumers and the industry alike.
We are a team of innovators, problem-solvers, and collaborators who are passionate about building and maintaining data infrastructure that drives decision-making and powers our applications. As a Senior Software Engineer on our 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.
Key Responsibilities- Collaborate with cross-functional teams to develop and maintain robust data pipelines.
- Ingest and process data from various 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.
- 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.
- Competitive salary based on experience and skills.
- Firm-wide performance-based bonus.
- Competitive stock options package as an early member of the team.
- A flexible paid time off and vacation policy.
- Comprehensive health, vision, dental insurance.
- Company FSA, 401k, commuter benefits.
