Mid-Level Data Engineer - Snowflake | Remote

Description

Technology, continuous learning, and real-world impact are integral to how we evolve. At Objective, you'll find a collaborative environment where you can grow, exchange knowledge, and build high-quality solutions alongside people who value connections, development, and practical innovation. We value diversity because we believe that different perspectives strengthen innovation and value delivery. All our positions are open to everyone—regardless of ability, age, gender, sexual orientation, ethnicity, religion, or any other characteristic. If this opportunity resonates with you, join us in building the future. **WHAT ARE WE LOOKING FOR?** We're seeking a **Mid-Level Data Engineer**, eager to work with us in a relaxed and dynamic environment, continuously learning while developing large-scale projects for prominent national and international clients. We have offices in São Paulo and Chicago (USA), but our operations are fully remote—we prefer to call it an *anywhere office*. **WHAT WILL THIS PROFESSIONAL DO?** * Implement and apply best practices and processes together with the Data Engineering team; * Develop solutions and support the creation of data products that streamline and accelerate team workflows; * Contribute to maintaining and evolving the data architecture; * Design, build, maintain, and optimize data pipelines, **with a focus on Snowflake architecture**; * Work with the following stack: **Snowflake**, Azure Cloud, Repos, DevOps, Data Factory, Power BI, SQL, and Python; * Apply best practices for data security and governance in cloud environments; * Support cost management and optimization (FinOps) related to Data Engineering demands; * Understand and critically assess requirements raised by business, IT, or Data teams, contributing appropriate technical solutions. **WHAT IS REQUIRED FOR THIS POSITION?** * Completed undergraduate degree; * **Proven, hands-on experience with Snowflake and Azure**; * Experience with projects using **dbt** (integrated with Snowflake); * Solid knowledge of **SQL and Python**; * Experience with **Data Products and/or Data Platforms**; * Experience with agile methodologies; * Proactive mindset with a strong focus on continuous learning. **PROCESS STEPS:** * Application * Cultural fit interview * Technical interview * Client interview * Hiring