Senior Python Engineer: Real-Time Sports Data

Fliff; United States; Remote; USD 140,000 - 210,000; Full time

Job summary

Fliff is building a modern data-driven sports gaming platform. We are seeking a Senior Python Engineer to advance the core data ingestion and processing systems powering our sports data platform.

You will design Python services for ingestion, transformation, and distribution, integrate with external data providers, and ensure data accuracy, observability, and resilience in real-time streams and batch jobs. This role involves close collaboration with multiple engineering disciplines and a strong

Qualifications

• 5+ years of production experience with Python.
• Solid Django experience with asyncio.
• Production experience with Apache Kafka.
• Strong SQL skills and PostgreSQL expertise.

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.

Skills

Python

Django

Asyncio

Kafka

PostgreSQL

APIs

Distributed systems

Data pipelines

On-call

Tools

Go

Redis

Docker

Kubernetes

Job description

Fliff is building a modern data-driven sports gaming platform. We are seeking a Senior Python Engineer to advance the core data ingestion and processing systems powering our sports data platform.

You will design Python services for ingestion, transformation, and distribution, integrate with external data providers, and ensure data accuracy, observability, and resilience in real-time streams and batch jobs. This role involves close collaboration with multiple engineering disciplines and a strong