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Staff Data Engineer
IronKite
📍 Remote (Australia)
📅 Contract
📁 Data
Posted: 2026-06-06

About the Role

Join IronKite and be part of a team redefining what is possible in data. We are well-funded with the resources of a scale-up and the speed of a startup. As a Staff Data Engineer, you will have real ownership, meaningful impact, and the flexibility to work how you work best.

What You'll Do:
- Document data assets and maintain data catalog accuracy
- Collaborate with analysts and engineers to define data models
- Build and maintain robust data pipelines and ETL workflows
- Develop ML models and deploy them to production environments
- Create dashboards and reports for business stakeholders
- Partner with engineering to integrate data products into the platform
- Monitor data quality and build alerting systems for anomalies

What We're Looking For:
- Ability to work on ambiguous problems with limited direction
- Recognized expertise that spans multiple teams or domains
- 8+ years of experience with increasing scope and impact
- History of influencing technical or product strategy at scale
- Exceptional mentorship and organizational leadership skills

What We Offer:
- Annual learning and development budget ($1,500+)
- Home office setup stipend ($500-$1,000)
- Flexible hours — we trust you to manage your time
- Fully remote — work from anywhere in the world
- Health, dental, and vision insurance (or stipend for international hires)

To apply, send your resume and a short note about why you are excited about this role. We review every application and respond within 5 business days.

Required Skills

SparkAirflowdbtScikit-learnPandasPostgreSQL

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Salary Range
$170k-$220k
Per year • Remote