Apply

Ready to go for it?

AI Apply speeds things up—apply directly if you prefer.

FREE ACCESS
5,000–10,000 jobs/day
JobTailor Logo

See all jobs on JobTailor

Search thousands of fresh jobs every day.

Discover
  • Fresh listings
  • Fast filters
  • No subscription required
Create a free account and start exploring right away.
Fliff Inc

Senior Python Engineer, DataFeed Team

Fliff Inc

Senior Python Engineer responsible for building and maintaining sports data ingestion systems. Collaborating with various teams to ensure accurate and timely sports data processing.

Posted 7/20/2026contractRemote • 🇷🇴 RomaniaSeniorWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in designing and maintaining Python services for data ingestion and processing, with a strong focus on building reliable data pipelines and integrating with third-party APIs. Proficient in monitoring and debugging production systems while ensuring data correctness and system observability.

Highest-signal resume keywords
Python ProgrammingDjango FrameworkApache KafkaSQL and PostgreSQLAsynchronous Programming

ATS Keywords

Tailor your resume
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills
Python ProgrammingDjango FrameworkSQLPostgreSQLApache KafkaData Pipeline DevelopmentAPI IntegrationAsynchronous ProgrammingData ValidationMonitoring and Debugging
Soft Skills
Problem-SolvingCollaborationAttention to Detail
Industry Keywords
Data IngestionData TransformationData DistributionDistributed SystemsProduction Systems

Tech Stack

Tools & technologies
ApacheDistributed SystemsDjangoKafkaPostgresPythonSQL

About the role

Key responsibilities & impact
  • 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
  • Investigate production issues, trace data problems, and improve system observability
  • Collaborate with backend, product, trading, QA, and platform teams to deliver dependable data flows

Requirements

What you’ll need
  • 5+ years of strong production experience with Python
  • Experience designing and operating backend services in production
  • Solid Django experience, 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
  • Strong problem-solving skills and comfort doing code reviews
  • Willingness to participate in on-call rotations

Benefits

Comp & perks
  • Equal Employment Opportunity
  • Diversity and Inclusion
  • Flexible work arrangements
  • Professional development