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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in designing and maintaining Python services for sports data processing, with strong capabilities in building reliable data pipelines and integrating with third-party data providers. Proficient in monitoring and debugging production systems while collaborating effectively across teams.
Highest-signal resume keywords
Python DevelopmentDjango FrameworkApache KafkaSQL and PostgreSQLData Pipeline Design
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
PythonDjangoAsynchronous ProgrammingApache KafkaSQLPostgreSQLAPIsData ProcessingData ValidationMonitoring and Debugging
Soft Skills
Problem-SolvingCommunicationCollaborationOwnership MindsetMentoring
Industry Keywords
Sports DataData IngestionData TransformationData DistributionDistributed Systems
Tech Stack
Tools & technologiesApacheDistributed 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
- 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
What you’ll need- 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
Benefits
Comp & perks- Equal Employment Opportunity Statement
- Work with a close-knit and friendly team
- Opportunities for innovative and dynamic projects
