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Data Infrastructure Engineer

Leading platform for home remodeling and design, providing software solutions for industry professionals and tools for homeowners.
Data
Mid-Level Software Engineer
Remote
1,000 - 5,000 Employees
3+ years of experience
Enterprise SaaS · Consumer

Job Description

Houzz, the leading platform for home remodeling and design, is seeking a Data Infrastructure Engineer to join their data infrastructure team. This role is crucial in driving stability, scalability, and efficiency for Houzz's data ecosystem. The position offers the opportunity to work with cutting-edge big data technologies while processing petabytes of data.

The ideal candidate will be responsible for architecting and implementing end-to-end data solutions, including data pipelines, event streaming, and data warehouse/data lake systems. You'll work with technologies like EMR, Hadoop, Spark, Flink, Kafka, Trino/Presto, and Airflow, while also automating infrastructure operations and building analytical frameworks.

This role combines technical expertise with collaborative teamwork, as you'll be working alongside data engineers, data scientists, designers, and product managers. The position requires strong programming skills, experience with distributed systems, and a deep understanding of data infrastructure technologies.

Houzz offers a mission-driven culture focused on creating the best experience for home renovation and design. The company values community-centric approaches, innovation, and results-driven execution. As a remote position based in Taiwan, this role provides the flexibility of remote work while being part of a global team that's transforming the home improvement industry.

The company is committed to fostering an inclusive environment and provides equal employment opportunities to all candidates. This is an excellent opportunity for a data engineer looking to make a significant impact in a growing technology company while working with large-scale data systems and modern technologies.

Last updated 4 months ago

Responsibilities For Data Infrastructure Engineer

  • Build scalable and reliable data infrastructure that processes petabytes of data
  • Integrate with big data technologies and workflow management frameworks
  • Automate the process of infra operation such as EMR provisioning and autoscaling
  • Build tools and framework for data analysis
  • Create monitoring and alerting processes for the data infrastructure team
  • Own service operation in production, including participating in on-call rotation
  • Work in a small, collaborative team to build an amazing data experience
  • Promote best practices and improve the quality of the internal data products

Requirements For Data Infrastructure Engineer

Python
Java
Kafka
Linux
Kubernetes
  • Proficiency in a common programming or scripting language (Python, Bash, Java, etc.)
  • Minimum of 3 years of industry experience building large-scale reliable data backends
  • Experience with big data technology and workflow management frameworks
  • Good understanding of Linux and Kubernetes
  • Experience with major cloud provider services
  • Excellent communication, interpersonal and cross-functional skills
  • Bachelor's degree in Computer Science or a related field

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