Senior Python Engineer, DataFeed Team

Stack

Responsibilities

• ▹Design, build, and maintain Python services for sports data ingestion, transformation, and distribution
• ▹Integrate with third-party sports data providers and handle differences between provider models, formats, and update patterns
• ▹Build reliable pipelines for near real-time and batch data processing
• ▹Improve data validation, reconciliation, monitoring, alerting, and replay tooling
• ▹Work on domain models for events, competitions, participants, markets, odds, scores, and related sports entities
• ▹Investigate production issues, trace data problems, and improve system observability
• ▹Collaborate with backend, product, trading, QA, and platform teams to deliver dependable data flows
• ▹Contribute to architecture decisions, code reviews, technical standards, and mentoring within the squad

Requirements

• ▹5+ years of strong production experience with Python
• ▹Experience designing and operating backend services in production
• ▹Solid Django experience (not necessarily expert level), with asynchronous programming skills (asyncio)
• ▹Production experience with Apache Kafka
• ▹Solid understanding of APIs, distributed systems, async processing, and data pipelines
• ▹Strong SQL skills and experience with relational databases, especially PostgreSQL
• ▹Experience integrating with external APIs, feeds, or third-party data providers
• ▹Ability to reason carefully about data correctness, edge cases, and failure modes
• ▹Experience with monitoring, logging, alerting, and debugging production systems
• ▹A senior ownership mindset: breaking down ambiguous problems, making pragmatic technical decisions, communicating clearly
• ▹Strong problem-solving skills and comfort doing code reviews
• ▹Willingness to participate in on-call rotations

Nice to have

• ▹Experience in sports betting, gaming, fantasy sports, sports data, fintech, trading, or other real-time data domains
• ▹Experience with Django, Kafka, Redis, and PostgreSQL together

Soft skills

About the company

Fliff unpacks sports gaming into social, free-to-play games. The DataFeed Team owns the systems that bring external sports data into Fliff: ingesting feeds, normalizing provider-specific formats, and validating data quality. Headquartered in Philadelphia, with offices in New York, Austin, and Sofia.