Angi
Angi15d ago
$115,000 – $205,000/yr

Senior Data Engineer, Data Infrastructure

United StatesUnited StatesRemotesenior
Data ScienceOtherDevOps & InfrastructureData EngineeringInfrastructure EngineerInfrastructureInfrastructure & Cloud
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Quick Summary

Key Responsibilities

Design, build, and operate critical data infrastructure platforms (lakehouse, replication, orchestration, and distributed compute) Ensure high availability, scalability,

Technical Tools
Data ScienceOtherDevOps & InfrastructureData EngineeringInfrastructure EngineerInfrastructureInfrastructure & Cloud

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.

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

What We Offer

~1 min read

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.

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

~1 min read
  • 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
  • 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

~1 min read
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 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.

 

 

#LI-Remote

Location & Eligibility

Where is the job
United States
Remote within one country
Who can apply
Open to applicants worldwide
Listed under
United States

Listing Details

Posted
April 13, 2026
First seen
April 13, 2026
Last seen
April 29, 2026

Posting Health

Days active
15
Repost count
0
Trust Level
49%
Scored at
April 29, 2026

Signal breakdown

freshnesssource trustcontent trustemployer trust
Angi
Angi
greenhouse

Home is the most important place on earth. We make it easy for people to love their homes — and for pros to thrive doing the work they love.

Employees
5k+
Founded
1995
Domain
angi.com
View company profile
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AngiSenior Data Engineer, Data Infrastructure $115k–$205k