Senior Data Engineer

• Develop real-time data pipelines using event-driven architectures and streaming technologies.‬
• Ingest and organize structured and unstructured data for widespread reuse across‬‭ patterns.‬
• Engineer and scale high availability data serving capabilities to meet customer-facing needs.
• Implement mechanisms to ensure data quality, observability and governance best‬‭ practices.‬
• Collaborate with software engineers and infrastructure teams to improve pipeline‬‭ performance and integrate solutions into production environments.‬
• Grow the skills of colleagues by providing clear technical feedback through pairing,‬‭ design, and code review.‬
• Stay current with latest technologies, keeping up with the latest advancements in‬‭ streaming data processing and related technologies.‬
• Demonstrate support and understanding of our value of journalistic independence and a strong commitment to our mission to seek the truth and help people understand the world.

Candidate Use of GenAI Tools:

We’re excited to learn more about you and your experience. To keep our hiring process as fair and authentic as possible, we ask that you submit your own work and not use GenAI tools to generate substantive content during the application and interview process.

If you’re an engineering candidate, we’ll let you know what specific GenAI tools you are permitted to use for your technical assessment.

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