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Senior Data Engineer, Data Infrastructure

New York - Remote

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Pay
$115,000–205,000/year · BaseAnnual period assumed · Location-specific paypay source
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
Read the full posting
Work setup
Remote statedwork setup source
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:
Listed location: New York - Remote
Read the full posting
Employment
Unconfirmed

What you’ll work on

Full posting
  • 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

  • Partner closely with engineering, analytics, and product teams to support data platform adoption and migration initiatives

From the employer’s posting
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
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
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

What you’ll bring

All qualifications

Core experience

  • 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
  • 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
Qualification wording
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
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

Tools in this posting

  • Kafka
  • Kubernetes
  • Trino
  • Airflow
  • AWS
  • Iceberg
Source — Tool mentions in context
- 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
- 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)

Benefits in the posting

Full benefits wording
  • 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
  • Pet discount plans & retirement plan with company match (401K)
  • We Value Diversity

From the employer’s posting.

Job description

View original posting ↗

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., 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.

 

 

#LI-Remote

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Source & posting history

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Pay
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
Location & working pattern

New York - Remote

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:
More source context
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
Work authorization

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Status in our records
Unknown — awaiting fresh evidence
First seen by us
Apr 13, 2026
Recorded sightings
54
Last seen by us
Apr 30, 2026

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