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Senior Data Engineer | 2026 World Cup Tech Initiative

Apex Sports Intelligence
New York
Estimated Salary
USD 145.000 – USD 190.000
New
Live Update
30 Juni 2026
Deadline
30 Jun 2027

Job Description

Be part of history. Apex Sports Intelligence is seeking a visionary Senior Data Engineer to architect the technological backbone for the upcoming 2026 World Cup. In this high-impact role, you will design and implement massive-scale data pipelines that process millions of real-time events, ensuring seamless fan experiences and operational excellence across global venues.


What You Will Do:

  • Build and maintain high-availability, low-latency data pipelines using Kafka, Spark, and Python.
  • Integrate IoT sensor data with fan engagement metrics to optimize stadium operations.
  • Collaborate with AI researchers to develop predictive models for crowd control and traffic management.
  • Ensure strict data governance and security compliance for sensitive event data.
  • Lead technical initiatives that bridge the gap between legacy systems and future-ready cloud architectures.

Why Apply?

  • Work on a project of global significance impacting over 3 billion viewers.
  • Competitive compensation and equity package.
  • Opportunity to shape the future of sports technology.

Responsibilities

  • Design and maintain scalable data architectures for real-time processing of event data.
  • Implement robust ETL processes to aggregate data from multiple sources (ticketing, IoT, social media).
  • Optimize query performance and database structures for high-volume reporting.
  • Mentor junior engineers and conduct code reviews to ensure best practices.
  • Work closely with product managers to translate business requirements into technical solutions.

Qualifications

  • 7+ years of experience in Data Engineering, Software Engineering, or Big Data.
  • Expert proficiency in Python, SQL, and cloud platforms (AWS or Azure).
  • Deep experience with distributed systems, message brokers (Kafka, RabbitMQ), and stream processing.
  • Strong understanding of data warehousing (Snowflake, Redshift) and NoSQL databases.
  • Experience working in high-stakes environments or large-scale event infrastructure is a plus.

Required Skills

Data Engineering Python SQL Apache Kafka Apache Spark AWS Azure Big Data Real-time Analytics IoT 2026 World Cup Data Architecture

Ready to Take This Challenge?

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