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Senior Data Engineer - 2026 Olympics

Global Sports Analytics Corp
New York
Estimated Salary
USD 140.000 – USD 180.000
Live Update
5 Juli 2026
Deadline
5 Jul 2027

Job Description

Shape the Future of Global Sports

Join the elite team behind the 2026 Olympics, where technology meets athletic excellence. We are looking for a visionary Senior Data Engineer to architect the data backbone that will power real-time analytics, athlete performance tracking, and fan engagement for the world's largest event. If you are passionate about building scalable systems and have a track record of delivering high-impact solutions, this is your opportunity to leave a lasting legacy.

Why Join Us?

  • Impact: Work on a project that will be viewed by billions.
  • Innovation: Utilize cutting-edge cloud and edge computing technologies.
  • Team: Collaborate with world-class engineers and sports experts.

Responsibilities

  • Architect Data Pipelines: Design and implement robust, scalable data pipelines using Apache Kafka, Spark, and Flink to handle high-velocity sports data.
  • Infrastructure Strategy: Lead the migration and optimization of our cloud infrastructure (AWS/GCP) to ensure 99.99% uptime during the event.
  • Real-Time Analytics: Develop solutions for real-time data ingestion and processing to support live scoring and instant fan insights.
  • Collaboration: Partner with data scientists and product managers to define data requirements and integrate ML models into the core platform.
  • Security & Compliance: Enforce strict data governance and security protocols in compliance with international sporting regulations.
  • Documentation: Create comprehensive technical documentation and architecture diagrams to facilitate team onboarding and knowledge transfer.

Qualifications

  • Experience: 7+ years of experience in data engineering, with a focus on high-scale, high-availability systems.
  • Technical Stack: Proficiency in Python, SQL, and major distributed data processing frameworks.
  • Cloud Expertise: Strong experience with AWS (Redshift, S3, Lambda) or Google Cloud Platform.
  • Big Data: Deep knowledge of stream processing and message queues.
  • Problem Solving: Proven ability to troubleshoot complex architectural issues under pressure.
  • Communication: Excellent verbal and written communication skills, with the ability to explain technical concepts to non-technical stakeholders.

Required Skills

Data Engineering Python SQL Apache Kafka Apache Spark AWS GCP Big Data Real-time Analytics Cloud Architecture Agile Scrum

Ready to Take This Challenge?

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