Senior Software Engineer

Responsibilities

• Research, design, and develop fintech software or specialized utility programs.
• Analyze user needs and develop software solutions, applying principles and techniques of computer science, engineering, and mathematical analysis.
• Update software or enhance existing software capabilities.
• Build a scalable data platform and pipelines that caters to the data plumbing needs of Chime.
• Architect and build workflows that could potentially become de facto standards for the fintech industry.
• Be a hands-on engineer, building, scaling, and optimizing self-serve ETL frameworks that can handle streaming and/or batch processing.
• Own the ETL workflows and make sure the pipeline meets data quality and availability requirements.
• Work closely with other data engineering teams to integrate schema registry and establish data lineage for all data domains.
• Work closely with stakeholder teams (Data Science, Product Engineering, Analytics) to help them with their data computation needs.
• Joint ownership of all aspects of data - data quality, data governance, data and schema design, data quality and security.
• Mentor and lead more junior engineers and help them improve their craft.

Requirements

• Master’s degree in Computer Science, Engineering or related field and 3 years of experience in the job offered or in a software engineer-related occupation.
• At least 1 year of experience in each of the following:
  • Utilize knowledge of AWS/GCP to manage large-scale distributed data infrastructure, with a focus on debugging and resolving production issues through collaborative problem-solving.
  • Utilize experience with optimizing data computation engines (e.g., Spark, Trino) to deliver high-performance queries and reduce latency.
  • Utilize knowledge of containerization and orchestration technologies including Kubernetes and Docker to efficiently run the data platform infrastructure.
  • Utilize experience with shadow testing, error investigation, and benchmark testing frameworks for high-quality data processing.
  • Utilize experience with running production grade CI/CD systems to improve developer velocity and handle complicated rollbacks to improve system reliability.
  • Utilize experience with designing fault-tolerant systems and implementing strategies to ensure high availability in distributed environments.