Senior Software Engineer, SoFi

• The ideal candidate has a strong software engineering background and problem-solving ability along with cloud computing (AWS) and data engineering skill set with prior experience on technologies such as Snowflake, Airflow, dbt, Kafka, Spark, Dask, Python, and Tableau
• If you like working on problems with tangible and lasting impact, we would love to have you in our team!
• Bachelor's or Master's degree in Computer Science, Engineering, or a related field
• Minimum of 4 years of experience as a Software Engineer, with a focus on data engineering and data platform development
• Extensive hands-on experience with Snowflake, AWS services, dbt, and Airflow
• Strong understanding of data quality best practices and data governance principles
• Proven track record in metadata management and data infrastructure design
• Proficiency in Python for data manipulation, scripting, and automation
• Excellent problem-solving skills and the ability to thrive in a fast-paced, collaborative environment
• Strong communication skills to effectively work with diverse stakeholders and present technical concepts

Desirable

• We are seeking a highly motivated Senior Software Engineer to join our Data Platform team
• As a Senior Software Engineer, you will work alongside our experienced team of data engineers and product managers to develop and maintain our cutting-edge data handling platform using Snowflake, dbt, Sagemaker, and Airflow
• In this role you will be contributing to the long-term success of SoFi’s data vision by building out distributed systems and scalable data platforms
• As a Senior engineer on the Data Platform team at SoFi, you'll be tasked with building critical components and features
• You will implement battle-tested patterns and interfaces, squash bugs, refactor code and continually grow as an engineer
• Additionally, you will demonstrate SoFi’s core values by honing your skills as an effective communicator, showing personal responsibility, and setting ambitious goals
• Collaborate with cross-functional teams to understand data requirements and design scalable data solutions
• Write high-quality, efficient, and scalable code to implement new features and functionality on the data platform
• Participate in code reviews and provide feedback to other team members to ensure code quality and maintainability
• Work with product managers and other stakeholders to understand user requirements and implement solutions that meet their needs
• Participate in team meetings and contribute to discussions on technology, design, and implementation
• Keep up-to-date with the latest developments in data engineering, and cloud technologies
• Develop and optimize data pipelines using dbt and Airflow to ensure efficient data processing and data quality checks
• Architect and implement data governance and metadata management solutions to maintain data integrity and compliance
• Build a system to identify data quality issues and implement solutions to address them effectively
• Utilize your proficiency in Python to develop custom scripts and tools to enhance data operations and automation
• Mentor and guide junior team members, providing technical expertise and fostering a culture of continuous learning