Fixify is building an AI-native IT automation platform, where data is central to its operations. As a Senior Data Engineer, you will design and own data systems that transform raw events into trusted datasets, ensuring quality and reliability across the company.
Responsibilities:
- Design, build, and operate resilient batch and streaming data pipelines that scale with Fixify’s growth
- Own critical datasets end-to-end, from requirements and modeling through documentation, monitoring, and data quality
- Model data for analytics and product use cases, evolving schemas thoughtfully as business needs change
- Partner with data science teams to optimize systems so research translates seamlessly to production
- Define and enforce data quality standards with automated validation and actionable alerts
- Evaluate tools and frameworks, and help us make smart platform decisions
Requirements:
- 5+ years in data or software engineering, with significant data engineering work
- Expert-level SQL and strong data modeling instincts; you know how to design schemas that stand the test of time
- Deep experience working with cloud data platforms and orchestration frameworks
- Working knowledge of Python, orchestration, and data engineering tasks
- Experience building and operating streaming or near-real-time data pipelines
- A track record of delivering production-grade pipelines and semantic layers
- Experience integrating data from various API sources to bring new data into warehouses
- Clear communication skills; you can explain technical trade-offs to anyone
- Comfort operating with ambiguity and shifting priorities in a fast-moving startup environment
- Experience with ClickHouse and Airflow
- SaaS or high-growth tech experience