BI Engineer - Remote

Overview

At Panoptyc, we're on a mission to revolutionize loss prevention. Using visual AI and manual reviewers, we help retailers detect theft in over 15,000 markets across the United States. From Fortune 500 giants to local businesses, our impact is far-reaching. As a fully remote, rapidly growing team, we're excited to invite top talent worldwide to join us in reshaping the future of retail security.

In Short

• Design and implement data pipelines to extract, transform, and load data into data warehouses
• Develop scalable data models and optimize query performance for business intelligence applications
• Create and maintain BI processes using programming languages and data engineering tools
• Build automated data validation frameworks to ensure data quality and integrity
• Develop APIs and interfaces for data access and integration across systems
• Implement data monitoring tools and performance metrics to ensure system reliability
• Collaborate with data scientists and analysts to productionize data solutions

Requirements

• Minimum of 3 years of experience in data engineering or BI development
• Strong programming skills in Python, SQL, and data processing frameworks
• Experience with ETL development and data pipeline orchestration tools
• Proven ability to optimize data models and query performance at scale
• Experience working with cloud data warehouses (Snowflake, BigQuery, Redshift)
• Knowledge of data modeling techniques and dimensional modeling
• Strong troubleshooting and problem-solving skills with a keen attention to detail
• Ability to work independently in a fast-paced, remote environment
• Strong verbal and written communication skills for effective collaboration with technical and non-technical stakeholders
• Availability to work 40 hours per week on Eastern Standard Time (EST)

Benefits

• Competitive salary and benefits
• Be part of a rapidly growing team reshaping retail security
• Full remote work flexibility with a dynamic, global team
• Opportunity to work with cutting-edge data tools and technologies