Data Engineer II leading development and delivery of data pipelines for Syneos Health. Collaborating with teams to optimize data processing and integrate solutions into production environments.
About the role
- Data Engineer at Tarro building and scaling data infrastructure for product development. Collaborating with teams to ensure data quality and delivering actionable insights.
Responsibilities
- Build and evolve Tarro’s core data infrastructure and foundational datasets
- Design, develop, and maintain scalable data pipelines that support analytics, machine learning, experimentation, and product use cases
- Ensure data quality and reliability by implementing audits, alerting, and anomaly detection at scale
- Partner closely with Product Managers, Engineers, and business stakeholders to understand data needs and deliver trusted, actionable data
- Contribute to shared data engineering tooling, standards, and best practices to improve team productivity and output quality
- Help establish long-term data architecture that scales with Tarro’s growth
Requirements
- 5+ years of experience building and operating production-grade data pipelines
- Strong understanding of scalable, performant data modeling patterns across structured and unstructured data sources
- Proven ability to work cross-functionally to design data architectures that support analytics, machine learning, and experimentation
- Experience building and operating fault-tolerant, distributed systems
- Hands-on experience working in a cloud environment such as AWS or GCP
- Self-starter who thrives in an environment with high ownership, limited process, and lots of autonomy
- Care deeply about building reliable systems that solve real customer and business problems.
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