Senior Software Engineer, Data Engineering

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Overview

The Senior Software Engineer, Data Engineering at Figure is responsible for designing, developing, and maintaining robust data pipelines and architectures that support the processing and analysis of large datasets. This role requires a strong understanding of data engineering principles, along with the ability to implement efficient solutions that meet complex business needs. The ideal candidate will work closely with cross-functional teams to ensure data integrity, optimize performance, and leverage advanced analytics to drive strategic initiatives.

Job Responsibilities

• Design and implement scalable data infrastructures capable of handling high volumes of data.
• Develop and maintain ETL processes to extract data from various sources, transform it, and load it into our data warehouse.
• Collaborate with data scientists and analysts to ensure data quality and accessibility for analytical tasks.
• Monitor, troubleshoot, and optimize data pipelines to improve performance and reliability.
• Implement automated testing and deployment processes for data ingestion and transformation workflows.
• Stay updated with the latest industry trends and technologies to continuously enhance data engineering capabilities.

Qualifications

• Bachelor’s degree in Computer Science, Engineering, or a related field; a Master’s degree is preferred.
• 5+ years of experience in data engineering or a related role.
• Proficiency in programming languages such as Python, Java, or Scala.
• Strong experience with data modeling, ETL processes, and data warehousing concepts.
• Familiarity with cloud data platforms such as AWS, Google Cloud Platform, or Azure.
• Experience with SQL and NoSQL databases, along with data processing frameworks like Apache Spark or Hadoop.
• Excellent problem-solving skills and the ability to work independently as well as part of a team.

Technologies & Tools

This position utilizes a variety of technologies and tools essential for effective data management and engineering. Candidates should be familiar with cloud computing platforms such as AWS or GCP, databases like PostgreSQL or MongoDB, and data processing frameworks including Apache Spark or Kafka. Proficiency with data visualization tools may also be beneficial to support the analysis and representation of data findings.

Ideal Candidates

Ideal candidates for the Senior Software Engineer, Data Engineering role will possess a strong analytical mindset and a passion for building data-driven solutions. They will exhibit excellent communication skills to effectively convey complex technical concepts to non-technical stakeholders. A proactive approach to problem-solving and a commitment to continuous learning will distinguish successful applicants. Lastly, candidates should display a collaborative spirit, willing to engage with diverse teams to achieve shared objectives in a fast-paced environment.