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.