Data Engineer Developer Platform

• Design build and maintain robust pipelines feeding both DWH and production processes

• Own pipeline orchestration in Apache Airflow end to end including DAG design monitoring alerting and production reliability

• Design the data models behind our core domains and the contracts that downstream consumers depend on

• Partner with business analysts PMs and business stakeholders to translate product and business questions into stable qualified and well-modeled data

• Work with a variety of data sources including product events application data APIs operational databases logs and third-party systems

• Debug and solve data quality pipeline performance and reliability issues

• Use and create AI agents and LLM-based tooling to improve development testing documentation and root cause analysis

• Be part of the team and adopt effective ways of using AI tools in the engineering workflow

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At Wix we believe our best work happens together. Our work model is fully in person with 5 days a week from our office. Flexibility remains a core value at Wix and special requests are handled thoughtfully at the team level. 

Qualifications :

• 3 years in data engineering or a similar data-focused engineering role

• Strong hands-on Python and SQL skills with the ability to write clean performant and maintainable code

• Proven track record of building and running code in large scale production environments

• Deep hands-on Apache Airflow experience including ownership of production DAGs at scale

• Deep data modeling expertise and the ability to design clean scalable data assets that hold up as the business changes

• Strong business and product orientation. You care about what the metric means not just whether the job succeeded

• Experience working with PMs analysts and business stakeholders to understand requirements and build the right data solutions

• Practical experience using AI coding agents and LLM-based tools as part of your daily engineering workflow

• Experience working with large and varied data sources including product events application data APIs operational databases logs and third-party systems

• Strong debugging and problem-solving skills around data quality pipeline failures performance and reliability

Nice to have

• Experience running data workloads in containerized or Kubernetes-based environments

• Experience with large-scale or distributed processing using Spark / PySpark

• Experience with query engines such as Trino

• Experience with CI/CD and software engineering best practices

• Experience building internal tooling or agents on top of LLMs

Additional Information :

Wix makes it possible for anyone to succeed online. Since 2006 weve grown to around 5300 employees in 22 countries launched over 40 products and serve over 299 million users and their visitors worldwide. At Wix we push you to innovate and evolve in non-traditional ways. We operate in collaborative high-performing teams building cutting-edge products and leveraging AI to redefine how our users create manage and grow their dreams online.
Although were already industry leaders in web creation and business our work is nowhere near done. Our goal is to become the main engine of the Internet so we can create a more open web for all.

Were proud to be an equal opportunity employer. Wix was built around the idea that everyone has the right to be successful online. This same vision defines us as an employer: creating a work environment where everyone is welcome and anyone has the right to succeed.

Remote Work :

No

Employment Type :

Full-time