Senior Data Engineer, Data Infrastructure

Confirmed live in the last 24 hours

Angi

Indiana - Remote

On-site

Posted April 13, 2026

Job Description

At Angi®, we’ve had one simple mission for 30 years: get jobs done well. We make it happen by connecting homeowners with reliable pros who have the skills they need — and connecting pros with homeowners who have the jobs they want.

Angi at a glance:

Homeowners have turned to Angi for more than 300 million projects
1,000+ home service tasks covered
2,800 employees worldwide

Why join Angi:

Angi® is defining the future of the home services industry, creating an environment where homeowners, pros, and employees benefit from more jobs done well.

For homeowners, our platform is a reliable way to find skilled pros. For pros, we're a reliable business partner who helps them find the winnable work they want, when they want. For employees, we’re an amazing place to call home. We can’t wait to welcome you.

About the team:

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.

What You'll Do:

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

Who You Are:

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., Ai

kubernetesaidataanalyticsproductdesign