Key Facts

Remote From:

Anywhere

Full time

Mid-level (2-5 years)

English

Hard Skills

Other Skills

•
Technical Acumen
•
Adaptability
•
Communication
•
Teamwork
•
Detail Oriented
•
Willingness To Learn
•
Problem Solving

Roles & Responsibilities

Bachelor's Degree in Computer Science, Information Systems, or related field, or equivalent professional experience
2-4 years of experience in data engineering, data integration, or analytics engineering
Proficiency in Python for data processing, scripting, and API integrations; strong SQL skills with Azure SQL Database (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 and Power BI semantic models

Requirements:

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

Gorilla Commerce

About Gorilla Commerce

We are Gorilla Commerce, a direct-to-consumer home, business, and pet product development platform. We operate at the intersection of creativity and analytics to create and provide obsession worthy, high-quality products at reasonable prices. Our vision is to continually innovate and improve our products based on customer needs and industry trends. By utilizing a data-driven approach to select product categories, and a systematic process to evaluate underlying market characteristics, we are able to provide affordable, durable, and standout products that make everyday life easier for our consumers. We effectively manage thousands of SKUs across dozens of product categories through a portfolio of brands that include Gorilla Grip, Kangaroo, Sofa Shield, Mighty Monkey, and others.

Founded: 2018

Company size: 11 - 50

LinkedIn See all jobs →

Job description

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).