Senior Data Engineer, Data Infrastructure
New
A
AngiHome Services
Eastern time zoneFull-TimeSenior
Salary115,000 - 205,000 USD per year
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Job Details
- Experience
- 5+ years of experience
- Required Skills
- KafkaKubernetesAirflowAmazon Web Services
Requirements
- 5+ years of experience in infrastructure, platform engineering, or data engineering roles
- Experience working on highly cohesive engineering teams that collaborate in real time to solve complex technical challenges
- Strong background in infrastructure architecture within large-scale or enterprise environments
- Hands-on experience with cloud platforms (e.g., Amazon Web Services), container orchestration (e.g., Kubernetes), and distributed systems
- Experience with data platforms, including lakehouse architectures, data replication, and orchestration frameworks (e.g., Airflow, Kafka, Trino, Iceberg)
- Demonstrated experience using AI/agentic engineering tools such as Claude Code, Cursor, GitHub Copilot, or similar tools to improve development efficiency and workflows
- Demonstrated ability to pivot quickly in response to changing priorities while maintaining high-quality delivery
- Strong communication skills with the ability to clearly articulate technical concepts and tradeoffs to stakeholders
- Proven ability to collaborate cross-functionally and engage effectively with both technical and non-technical partners
- Track record of producing clear, high-quality documentation and enabling others through shared knowledge
- Mindset of an enabler—focused not only on building systems, but on empowering other teams to use them effectively
Responsibilities
- Design, build, and operate critical data infrastructure platforms (lakehouse, replication, orchestration, and distributed compute)
- Ensure high availability, scalability, and performance of platform services supporting enterprise data workloads
- Contribute to infrastructure architecture decisions aligned with large-scale, modern data platform standards
- Partner closely with engineering, analytics, and product teams to support data platform adoption and migration initiatives
- Drive improvements in developer productivity through automation, tooling, and AI/agentic workflows
- Participate in on-call rotations and lead troubleshooting efforts for complex production issues
- Produce clear, comprehensive documentation and operational runbooks to support platform usage and reliability
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