Senior Python Engineer

Fliff unpacks sports gaming into social, free-to-play games for all types of sports fans. We've built a social sports gaming experience that allows users to compete for leaderboard positioning, to achieve badges and build their status within the game.

We are pioneering play-for-fun sports gaming, with our flagship social sportsbook experience that includes sweepstakes promotions and loyalty rewards. We provide sports fans with fun, engaging, and free-to-play alternatives to real money gaming.

Fliff is building sports gaming and entertainment products for a fast-moving, highly engaged audience. Behind every market, event, contest, player prop, and in-app experience is a data platform that needs to be accurate, reliable, and fast.

The DataFeed Team owns the systems that bring external sports data into Fliff: ingesting feeds, normalizing provider-specific formats, validating data quality, and making that data available to the rest of the platform.

We are looking for a Senior Python Engineer to help us build and evolve the core systems behind Fliff’s sports data platform.

This is not a generic backend role. You will work close to the domain: sports events, leagues, teams, players, markets, odds, scores, schedules, and provider-specific edge cases. You will help make sure our data is correct, timely, observable, and resilient when external feeds behave unpredictably.

You’ll join a squad where engineering decisions have direct product impact. The systems you build will support real-time experiences across Fliff and help our teams move faster with confidence.

• 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

• 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: you can break down ambiguous problems, make pragmatic technical decisions, and communicate clearly

• Strong problem-solving skills and comfort doing code reviews

• Willingness to participate in on-call rotations

• Experience in sports betting, gaming, fantasy sports, sports data, fintech, trading, or other real-time data domains

• Experience with Django, Kafka, Redis, PostgreSQL, or similar technologies

• Experience with Go / Golang, especially for high-throughput backend services, data processing, or performance-sensitive systems

• Experience with event-driven architecture or message queues

• Experience building data validation, reconciliation, or replay systems

• Cloud, Docker, Kubernetes, or infrastructure-as-code experience

• Interest in using AI-assisted engineering tools thoughtfully to improve development speed and quality

Sports data is full of real-world complexity. Providers disagree. Events change. Markets open and close. Names, IDs, schedules, scores, and statuses need to be mapped, checked, and trusted.

In the DataFeed Squad, you’ll work on systems where correctness matters, latency matters, and operational visibility matters. You’ll have room to shape architecture, improve reliability, and build tools that make the whole engineering organization more effective.

We are a multinational company with our headquarters based in Philadelphia, and offices in New York, Austin, and Sofia, Bulgaria. Wherever we are in the world, we pride ourselves on being a close-knit, focused team that is welcoming and friendly, and the work that we do is always interesting and rewarding. Wherever we are in the world, we pride ourselves on being a close-knit, focused team that is:

Welcoming and Friendly

We want to reflect the diversity of the cities we serve. By creating an inclusive culture where everyone can thrive, we’ll make Fliff better for employees and customers alike.

Lively and Creative

We respect and value each other’s ideas, experience and expertise. There is no such thing as a bad idea; only ideas that are executed and ideas that are discarded after consideration.

Stimulating and Rewarding

We know bright minds love a challenge, and we understand your desire to see your hard work pay off. We’ll make sure your daily tasks align with your career ambitions as we grow together.

Equal Employment Opportunity Statement

Fliff is an equal-opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.

Join Our Team!

If you're ready to be part of an exciting, innovative, and dynamic team, apply now to help shape the future of sports gaming with Fliff.

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- 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: you can break down ambiguous problems, make pragmatic technical decisions, and communicate clearly- Strong problem-solving skills and comfort doing code reviews- Willingness to participate in on-call rotations