8 часов назад
Staff Data Platform Engineer (Data Platform)
200 000 - 220 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Staff Data Platform Engineer (Data Platform): Architecting and building scalable batch and streaming data platforms for sports betting and daily fantasy ecosystems with an accent on low-latency ML inference, data lifecycle management, and platform reliability. Focus on deploying real-time services under 100ms, enforcing data security and observability, and enabling CI/CD, lineage, and self-service capabilities across data teams.
Location: Remote within the United States; Atlanta, Georgia preferred. Applicants must be authorized to work for any employer in the U.S.; visa sponsorship is not available.
Salary: $200,000–$220,000 per year
Company
operates a Daily Fantasy Sports platform covering professional sports and esports.
What you will do
- Architect and build scalable batch and streaming data platform capabilities, including catalog, lineage, automation, and security controls.
- Develop low-latency services for streaming and near-real-time use cases such as dynamic oddsmaking, risk analysis, and deposit defaults.
- Establish model deployment, monitoring, CI/CD, observability, and operational practices for data pipelines and platforms.
- Build data exploration, lifecycle management, and self-service capabilities for data teams.
- Partner with Product, Backend Engineering, Data Engineering, and Data Science to productionize complex data and machine learning capabilities.
Requirements
- 8+ years of experience in platform engineering and a record of operating scalable data platforms in high-traffic production environments.
- Expertise in Python and Go, cloud services, containerization, Docker, Kubernetes, and cluster-level management.
- Experience with streaming architectures and low-latency model-inference services targeting under 100 ms.
- Experience with technologies including Spark, Flink, Kafka or Kinesis, Airflow or Argo, Iceberg, Lakehouse, Redis, Elasticsearch, databases, and REST APIs.
- Experience managing the full data lifecycle and contributing throughout development from concept to release.
- Strong communication, stakeholder management, and problem-solving skills.
Nice to have
- Experience designing fault-tolerant storage, distributed processing systems, and large-scale data lakes.
- Experience building data pipeline authoring tools, orchestration systems, and AI-assisted analytics.
- Experience with data quality, compliance, lineage, secure access control, and self-service data platforms.
- Background in Daily Fantasy Sports, oddsmaking, high-frequency trading, or a similar domain.
Culture & Benefits
- Remote work flexibility with modern work schedules focused on outcomes.
- Company-subsidized medical, dental, and vision plans.
- 401(k) plan with company match and annual bonus.
- Flexible PTO, paid parental leave, disability benefits, and company-wide events.
- Company-provided Windows or Mac equipment and career development opportunities.
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