Senior Data Engineer, Data Infrastructure

Senior Engineer I

For over 30 years, Angi has powered the future of the home services industry, creating an environment where homeowners and pros 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.

Angi at a glance:

• Founded in 1995 as Angie's List and rebranded in 2021
• Global company with 9 brands in 8 countries and employees worldwide
• Homeowners have turned to us for 300 million home projects and counting

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., 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

Compensation & Benefits:

• 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

We Value Diversity:

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.