Senior Software Engineer, Data Platform

Job Responsibilities

Software Engineering (~80%)

• Design, build, and maintain backend services and REST APIs that serve data from various SQL subsystems and other data sources
• Develop well-tested, production-grade Python services with clean API contracts, proper authentication, versioning, and error handling
• Work closely with the Analytics Engineering team to expose modeled data (billing, settlement, finance) through APIs that downstream consumers can rely on
• Build internal tooling and services that enable the broader organization to self-serve their data needs without writing SQL
• Participate in code reviews, system design discussions, and engineering best practices across the Infrastructure org
• Contribute to service observability: logging, metrics, alerting, and on-call practices for the services you own

Data Engineering (~20%)

• Maintain and improve existing data pipelines that move data from source systems into Snowflake (Airflow, Airbyte)
• Contribute to the dbt project alongside the Analytics Engineering team — model improvements, test coverage, and data quality
• Support data governance practices including access controls, lineage documentation, and data quality standards

Qualifications

Required

• Strong Python proficiency with experience building backend services and REST APIs
• Experience with web frameworks such as FastAPI, Flask, Django, or similar
• Solid SQL skills and hands-on experience with modern cloud data warehouses (Snowflake strongly preferred)
• Experience designing and building production APIs with proper authentication, versioning, and error handling
• Familiarity with CI/CD, automated testing, and operational reliability practices
• A track record of shipping reliable, well-tested services in production environments
• Comfort navigating ambiguity and driving projects forward with minimal oversight

Preferred

• Experience with data pipeline development using tools like Airflow, Airbyte, Dagster, or similar
• Familiarity with dbt or similar transformation frameworks
• Experience in fintech, payments, or other financial services environments
• Familiarity with AWS services (Lambda, S3, RDS, API Gateway, ECS/Fargate)
• Kafka or event streaming experience
• Infrastructure-as-code experience (Terraform, Pulumi)
• Experience at a company processing high transaction volumes where correctness and reliability are non-negotiable