Data Engineer II

Position Snapshot 

Reporting to the Senior Manager of Business Intelligence, this position plays a key role in supporting Gorilla Commerce’s analytics and data engineering capabilities; enabling cross-functional, enterprise-wide access to reliable, scalable data. 

As a Data Engineer, you will assist with both strategic initiatives and day-to-day operational data needs, collaborating with internal teams and external vendors to help maintain modern data pipelines. This role supports a hybrid data architecture that blends large-scale parquet datasets from external partners with daily transactional CSV sources, leveraging Azure data services and Power BI to support insight and decision-making across the organization. The ideal candidate thrives in a fast-paced environment, brings strong technical aptitude, attention to detail, and is eager to grow experience building efficient, cost-effective, and reliable data solutions. 

About Gorilla Commerce 

What We Do: We’re a leading e-commerce company focused on creating high-quality, affordable products that make everyday life easier.  

Scale & Footprint: Headquartered in the United States, Gorilla Commerce is a Top 10 Amazon U.S. seller with rapid growth and expanding into an omnichannel presence.  

Industry Differentiator: Known for our flagship brand, Gorilla Grip, we combine creativity with data-driven insights to deliver obsession-worthy products.  

Culture Highlights: Fast-paced, collaborative, and customer-focused environment where innovation and growth thrive.  

Impressive Growth: We’re a rapidly growing e-commerce company with ambitious plans to expand our reach and evolve into a true omnichannel business. 
 

What You'll Do 

• Assist in the development and maintenance of data pipelines across Azure Data Factory, Azure SQL Database, and Azure Synapse Analytics, following established patterns and standards. 

• Support the building and upkeep of Azure-based data assets, including Blob Storage, SQL tables and procedures, and Synapse serverless views. 

• Participate in ETL/ELT processes, applying data normalization, transformation, and data quality checks under guidance. 

• Help maintain Power BI semantic models and datasets, ensuring accurate reporting and assisting with performance troubleshooting for hybrid SQL + parquet datasets. 

• Monitor data pipeline performance, investigate issues, and escalate or resolve them according to predefined procedures. 

• Learn and apply emerging Azure data platform features under the mentorship of senior engineers, contributing to improvements in pipeline performance, reliability, and scalability. 

What You'll Bring 

• Exposure to Microsoft Fabric or broader data fabric technologies. 

• Bachelor’s Degree in Computer Science, Information Systems, or a related field; or equivalent professional experience. 

• 2–4 years of experience in data engineering, data integration, or analytics engineering, or equivalent professional experience. 

• Proficiency in Python for data processing, scripting, and API integrations. 

• Strong SQL skills and familiarity with Azure SQL Database, including schema design, stored procedures, indexing, and query tuning. 

• Experience building or assisting with Azure Data Factory pipelines and working with Azure Synapse Analytics (serverless SQL pools, materialized views). 

• Familiarity with Azure Blob Storage management, Azure Function Apps, and modern ETL/ELT and data warehousing concepts. 

• Experience supporting or assisting with Power BI semantic models. 

• Exposure to hybrid data architectures. 

What We Offer 

At Gorilla Commerce, we believe great work deserves great rewards. Here’s what you can expect when you join our team: 

✔ International Contractor Benefits 

• Competitive Compensation: Market-aligned pay for your region. 

• Flexible Work Arrangement: Remote-first approach with collaboration tools to stay connected. 

• Professional Development: Access to virtual learning resources and growth opportunities. 

Equal Opportunity Statement 

We welcome teammates from all backgrounds, identities, and experiences. If you think you’re a great fit, we encourage you to apply.