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Senior Data Engineer Data Infrastructure

🌐 Remote💼 Full-time💰 $115,000–$115,000🗓 2026-07-30

Core

Building and operating foundational data infrastructure platforms including lakehouse architecture, data replication, and orchestration frameworks to power enterprise data processing and analytics.

Role type

Senior IC data infrastructure engineer

Builds

Scalable, reliable data processing, storage, and analytics platforms

Domain

Cloud infrastructure and modern data platforms

Deliverable

production ML models | infrastructure

Required skills

Cloud platform expertise, container orchestration, distributed systems, data platform architecture, AI/agentic tooling, automation, troubleshooting

Preferred skills

Experience with lakehouse architectures, data replication, orchestration frameworks, developer productivity tooling

Technologies

Amazon Web Services, Kubernetes, Airflow, Kafka, Trino, Iceberg, Claude Code, Cursor, GitHub Copilot

Responsibilities

Design and operate critical data infrastructure platforms, ensure high availability and scalability of platform services, contribute to infrastructure architecture decisions, partner with engineering and analytics teams, drive improvements in developer productivity, participate in on-call rotations, produce operational documentation

Seniority

Senior, hands-on IC

Rewrite
## About the role Angi is seeking a Senior Engineer I to join our Data Infrastructure team, responsible for building and operating the foundational platforms that power data processing, storage, and analytics across the organization. This role will focus on evolving our lakehouse architecture, data replication systems, and orchestration frameworks while enabling scalable, reliable, and efficient data workflows. While this is a remote position, we are a global company and are looking for applicants located in the eastern time zone to align with our team's working hours. ## 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 ## 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 ## What we offer - The base salary band for this position ranges from $115,000 - $205,000, commensurate with experience and performance. Compensation may vary based on factors such as geographic location. - This position will be eligible for a competitive year end performance bonus & equity package - Full medical, dental, vision package to fit your needs - Flexible vacation policy; work hard and take time when you need it - Pet discount plans & retirement plan with company match (401K) - The rare opportunity to work with sharp, motivated teammates solving some of the most unique challenges and changing the world ## About the company We know that the best ideas come from teams where diverse points of view uncover new solutions to hard problems. We welcome and value individuals who bring diverse life experiences, educational backgrounds, cultures, and work experiences. Our hiring process may utilize artificial intelligence (AI) tools to assist in candidate screening and assessment. Our AI tools are designed to complement, not replace, human decision-making.
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