Data Engineer, Revenue Technology

The position of the Data Engineer will be part of the Partner Revenue team that develops and deploys data platforms for advanced analytics and data processing. The Data Engineer defines and builds the data pipelines to promote faster, better, data-informed decision-making within the business.

The role is a hybrid position requiring 3 days a week in the office. You will report to the Director of Partner Revenue Technology.

• 2+ years knowledge and experience in SQL for querying and data modeling

• 2+ years experience with any ETL frameworks or tools preferably Pentaho Data Integration or similar tools

• Demonstrated programming skills in Python and Shell scripting or similar language

Preferred Qualifications:

• Knowledge in data modeling and data warehouse concepts and have technical abilities to develop and debug complex code using AWS/GCP cloud infrastructure

• Experience with ETL Tools, Shell scripting, SQL, Python, Java, Airflow, dbt with the understanding of data flows, data warehouse architecture, ETL concepts and processing of structured and unstructured data

• Proven knowledge of CI/CD practices and version control (Git)

• Demonstrated ability to code with VSCode or similar IDE tools with the ability to use AI coding assistant tools such as cursor and github copilot

This role requires limited on-call hours. An on-call schedule will be determined when you join, taking into account team size and other variables.

$110,000 - $130,000 USD

For roles in the U.S., dependent on your role, you may be eligible for variable pay, such as an annual bonus and restricted stock. Benefits may include medical, dental and vision benefits, Flexible Spending Accounts (F.S.A.s), a company-matching 401(k) plan, paid vacation, paid sick days, paid parental leave, tuition reimbursement and professional development programs.

For roles outside of the U.S., information on benefits will be provided during the interview process.

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