Senior Software Engineer, Data Platform (Contract)

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Job Overview

The Senior Software Engineer, Data Platform at SoFi will engage in developing and optimizing scalable and efficient data platforms to support critical business operations and analytics. The candidate will be responsible for designing, implementing, and maintaining data integration processes, ensuring high availability and reliability of data services. This role requires collaboration with cross-functional teams to deliver innovative solutions that meet business needs, while also focusing on performance, security, and scalability of the platforms.

Job Responsibilities

• Design and implement robust data architectures and ETL processes.
• Optimize existing data workflows for performance and scalability.
• Develop data models and schemas to enhance data accessibility and reporting.
• Collaborate with data scientists, analysts, and other stakeholders to understand data needs and deliver solutions.
• Conduct code reviews and provide mentorship to junior developers.
• Monitor and ensure the integrity, quality, and security of the data platform.
• Stay updated with industry trends and technologies to propose improvements and enhancements.
• Document system designs and processes to facilitate knowledge sharing and onboarding.

Qualifications

• Minimum of a Bachelor's degree in Computer Science, Information Technology, or a related field.
• 5+ years of experience in software engineering with an emphasis on data platforms.
• Proven experience with SQL and NoSQL databases such as PostgreSQL, MongoDB, or similar systems.
• Strong proficiency in programming languages such as Python, Java, or Scala.
• Experience with cloud computing platforms, especially AWS or GCP.
• Solid understanding of data warehousing concepts and tools.
• Excellent problem-solving skills and the ability to work independently or collaboratively.

Technologies & Tools

The Senior Software Engineer will work with a variety of technologies and tools, including but not limited to cloud services (AWS, GCP), data processing frameworks (Apache Spark, Apache Kafka), CI/CD pipelines, and version control systems (Git). Familiarity with containerization and orchestration tools such as Docker and Kubernetes is also beneficial for this role.

Ideal Candidates

Ideal candidates for this position will possess strong analytical and critical thinking skills, with a proven ability to tackle complex data challenges. They should be detail-oriented, adaptable, and capable of thriving in a fast-paced environment. A collaborative mindset is crucial, as the role requires effective communication and coordination with diverse teams. Demonstrated passion for technology and continuous learning will also be valuable traits for success in this role.