Description:

Panoptyc is on a mission to revolutionize loss prevention using visual AI and manual reviewers to help retailers detect theft in over 15,000 markets across the United States.
The company is fully remote and rapidly growing, inviting top talent worldwide to join in reshaping the future of retail security.
The role of Business Intelligence Engineer involves designing, developing, and optimizing data infrastructure during a high-growth phase.
Responsibilities include architecting data pipelines, implementing processes, and creating scalable data models to power business intelligence solutions.
The position offers the opportunity to build robust data systems and automation frameworks while collaborating with cross-functional teams to drive strategic data initiatives.

Requirements:

A minimum of 3 years of experience in data engineering or BI development is required.
Strong programming skills in Python, SQL, and data processing frameworks are essential.
Experience with ETL development and data pipeline orchestration tools is necessary.
Proven ability to optimize data models and query performance at scale is required.
Familiarity with cloud data warehouses such as Snowflake, BigQuery, or Redshift is needed.
Knowledge of data modeling techniques and dimensional modeling is important.
Strong troubleshooting and problem-solving skills with attention to detail are required.
The ability to work independently in a fast-paced, remote environment is essential.
Strong verbal and written communication skills for effective collaboration with both technical and non-technical stakeholders are necessary.
Availability to work 40 hours per week on Eastern Standard Time (EST) is required.

The position offers a competitive salary and benefits.
Employees will be part of a rapidly growing team that is reshaping retail security.
There is full remote work flexibility with a dynamic, global team.
Employees will have the opportunity to work with cutting-edge data tools and technologies.