
Senior Software Engineer, Data
Posted May 11

Posted May 11
This is a fully remote position, open to applicants in United States.
• Create, develop, and manage data services and APIs utilized by application teams.
• Collaborate with Data Platform engineers to convert event streams and pipelines into interfaces suitable for applications.
• Take ownership of the technical design for significant features, encompassing API structure, data agreements, versioning, and backward compatibility.
• Develop using Python and SQL within event-driven architectures.
• Work together with application teams to establish integration patterns and service expectations.
• Enhance observability, accuracy, and operational maturity of data products.
• Improve platform performance and optimize cloud cost efficiency.
• Partner with the Data Platform team regarding pipeline agreements and data availability.
• Over 5 years of experience in creating production software systems, preferably including data services or platform APIs.
• Proficient in Python — capable of producing production-grade, testable, and maintainable code.
• Strong SQL expertise and ability to work with large analytical datasets.
• Familiarity with event-driven architectures and streaming systems (e.g., Kafka, Flink, or similar).
• Experience in designing and managing REST APIs consumed by application teams.
• Comfortable taking technical ownership — leading design decisions rather than merely implementing them.
• Knowledge of AI-augmented development tools (e.g., Claude, Codex) as part of a contemporary engineering workflow.
• Preferred Experience
• Experience with Snowflake or comparable cloud data warehouses.
• Background in data modeling for analytical or operational applications.
• Basic knowledge of ML engineering — feature pipelines and model-adjacent data services.
• A variety of medical insurance plans to select from.
• Dental, vision, life, and disability insurance.
• Employee Emergency Fund.
• Company equity (stock options).
• Open PTO policy.
• 401K plan with company matching.
• Hybrid and flexible work environment.
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