Staff Data Engineer


Staff Engineer Data Engineer
Fully Remote - USA

$220,000 to $240,000

This is a high-impact Staff Engineer role where you will unify complex data systems and shape the future of AI-driven analytics within a global media technology environment. You will operate as a senior technical leader, influencing architecture, scaling data platforms, and driving real-world AI integration across multiple products.

The Company
They are a global analytics and data platform business supporting leading media and content organisations with audience intelligence and monetisation solutions. Operating at scale across multiple product lines, they enable customers to better understand engagement and optimise performance. The business is investing heavily in AI and machine learning to enhance its offering and deliver next-generation insights. They offer a collaborative, remote-first culture with strong emphasis on technical excellence and work life balance.

The Role
You will act as a senior individual contributor owning cross-platform data architecture and helping bring together multiple technical ecosystems.

  • Define and evolve data architecture across multiple platforms, ensuring scalability and consistency
  • Lead integration of data systems across different product lines and technical stacks
  • Drive the development of AI and machine learning capabilities, including LLM-powered features
  • Build and optimise data pipelines across streaming and batch environments using tools such as Kafka and Spark
  • Collaborate closely with product, engineering, and ML teams to deliver scalable solutions
  • Establish best practices across data modelling, pipelines, and observability
  • Mentor engineers and raise the overall technical bar across teams
  • Contribute hands-on to production systems and participate in oncall rotations

Your Skills and Experience

  • Strong commercial experience in data engineering or data architecture within complex environments
  • Expertise in Python and experience building scalable data pipelines
  • Experience with Kafka and modern data platforms such as Snowflake or similar
  • Proven experience working across multiple systems or product environments
  • Hands-on experience integrating AI or machine learning into production systems
  • Strong understanding of large scale data architecture, modelling, and pipeline design
  • Ability to communicate architectural decisions clearly to both technical and non-technical stakeholders
  • Experience mentoring or influencing engineering teams

What They Offer

  • $220,000 to $240,000 base salary with no bonus or equity
  • Fully remote working across the USA
  • Opportunity to shape AI and data architecture at scale
  • High-impact role with cross-team influence
  • Strong benefits package including healthcare, pension contributions, and generous paid leave


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