Senior Data Platform Engineer

Location: Remote; hiring is available in any country where hirify.global has a legal entity. The posting also lists Sydney, Australia.

Company

hirify.global develops software products that help teams collaborate and manage different types of work.

What you will do

• Design, develop, and own high-quality big data and software solutions for the customer-facing data platform.
• Build and maintain reliable, scalable, and high-performance data platform services.
• Collaborate with backend engineers, core data engineers, architects, and cross-functional teams to design and ship features.
• Build services from requirements gathering and architecture through deployment and ongoing ownership.
• Improve code quality through peer reviews, coding standards, guidelines, and best practices.
• Drive operational excellence across security, reliability, availability, performance, and procedures.

Requirements

• 5+ years of experience in data or software engineering with relevant exposure to big data ecosystems.
• Bachelor's or Master's degree, preferably in Computer Science, or equivalent experience.
• Experience solving complex problems in distributed and big data environments.
• Experience building applications with Kotlin, Scala, Java, or Python.
• Strong knowledge of AWS and GCP services, plus familiarity with cloud architecture patterns.
• Experience with Flink, StarRocks, Databricks, Spark, or comparable big data processing technologies.

Nice to have

• Experience with Paimon or Iceberg table formats.

Culture & Benefits

• Flexible choice of working from an office, from home, or through a combination of both.
• Health and wellbeing resources.
• Paid volunteer days.
• Potential eligibility for benefits, bonuses, commissions, and equity.
• Accommodations and adjustments are available during the recruitment process.