• As a member of our Data Engineering team, you will be working with fast-paced innovative companies, leveraging Cloud as the key driver of their transformation. • They will look at you as their trusted advisor, someone they can rely on and who will be there to help them along their journey on Google Cloud. • You will be expected to cover a large spectrum of technology topics like ETL/ELT, Data Warehousing, Distributed Data Processing, and Streaming Data systems. • NOTE: This role is a 6 month Contract w/ potential of extension

• Design, build, and optimize large-scale distributed data pipelines using Apache Beam / Google Cloud Dataflow, Apache Spark, or Apache Flink. • Develop ETL/ELT workflows on GCP integrating multiple structured and unstructured data sources. • Address schema, type conversion, and performance optimization challenges when migrating data warehouses to BigQuery. • Implement observability, monitoring, logging, and error-handling within pipelines. • Collaborate with Data Analysts to integrate validation rules, QA checks, and automated testing into the pipeline lifecycle. • Support large-scale data migrations and performance tuning for high-volume workloads.

Hello and thank you for your interest! We're looking for folks nationwide who are great at data entry and typing. We offer a flexible work from home remote position that allows you to stay home with the family! The pay range is flexible from $16/ph to $30/ph DOE and level of experience. You'll meet these requirements to work from home remotely • Stable Internet connection • Work can be done using the following: Phone device, laptap or computer • Must be able to type accurately with a minimum speed of 30 words per minute • Able to focus on tasks without being distracted • Must be resident of the US • Not afraid of emailing clients as needed We're looking for folks who we can depend on who can work from home remotely without distraction and are go-getters. Pay range from 16 to 30 hourly depending on the role, level of experience and proven ability to work from home at the same level as from an office. Data entry clerks come from all different backgrounds including, data entry, telemarketing, customer service, sales, clerical, secretary, administrative assistant, warehouse, inventory, receptionist, call center, part-time, retail fields & more • Must be 16 years of age or older • Must be proficient with basic PC skills • Must have an internet connection • Basic english written language • Basic english spoken language Thank you for your interest!

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.