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Senior Data Engineer

2 months ago

Charlotte, North Carolina, United States Figure Full time
About Figure

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.

The Role

We are seeking a highly skilled Senior Software Engineer to join our Data Engineering team. As a key member of this 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.
Requirements

To be successful in this role, you will need:

  • 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.
What We Offer

As a Senior Software Engineer on our Data Engineering team, you will have the opportunity to work with a robust and modern tech stack, including:

  • 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

We offer a competitive salary, firm-wide performance-based bonus, and a comprehensive benefits package, including health, vision, and dental insurance, as well as a 401(k) plan and commuter benefits.

**Note:** For CO, NY, CA, and WA residents, the salary range is $119,680 - $149,600 with up to a 25% Bonus and Equity. Actual compensation may vary based on individual candidate experience and location.