Senior Software Engineer Data

You will design, build, ship, and maintain production data-platform code. You will architect distributed batch and streaming systems, collaborate with product and data stakeholders, improve reliability and cost efficiency, review code, guide technical decisions, and coach less-experienced engineers. You will use AI and agentic systems effectively in your engineering workflow.

Responsibilities

• Write, ship, and maintain production code
• Architect, design, and implement large-scale distributed data systems and pipelines
• Contribute to technical decisions for batch and streaming data solutions
• Collaborate with engineers, product managers, data scientists, and intelligence analysts
• Explore and integrate data orchestration and cloud-native technologies
• Own data systems from design through deployment, improvement, and support
• Perform peer reviews and share engineering best practices
• Improve reliability, observability, and cost efficiency
• Help shape the data-engineering technical roadmap
• Use AI and agentic systems effectively in engineering work

Requirements

• Production experience with Scala
• Functional programming experience
• Ability to design, build, and maintain distributed data systems in a cloud environment
• Experience with Spark or Databricks
• Knowledge of AWS, GCP, or Azure
• Ability to balance scalability, performance, and maintainability
• Experience with data modelling
• Experience with workflow orchestration

Benefits

• Hybrid working
• Option to work from almost anywhere for up to 90 days per year
• $650 remote-work budget
• $1,000 annual learning and development budget
• 25 days of annual leave plus US public holidays
• Birthday leave
• 16 weeks of fully paid parental leave for eligible employees
• Medical, dental, and vision coverage with premium contributions for employees and dependents
• 401k company match
• Mental health support through Spill