[Data Engineer]
On-site | 44 hours per week
In-person team based in DUMBO, Brooklyn, New York.
To get to know us better 💚
We develop people, software & businesses
16+ years of experience building software across 4 continents with an NPS of +84, placing us in the excellence zone!
We work on the development of digital solutions (web, mobile, BI, RPA, among others), with offices in São Paulo, Porto Alegre, Belo Horizonte and the USA.
About the Role:
-
We are looking for a Data Engineer to work in a hands-on and strategic capacity, spanning data engineering, analytics, and systems design.
This person will be responsible for designing and developing SQL- and Python-based workflows for data ingestion, cleansing, transformation, and integration across platforms such as Snowflake and Salesforce. The role will have end-to-end ownership of data pipelines and will contribute to building analytics solutions on top of these datasets.
You will also participate in the development of proprietary solutions for monitoring these ecosystems and creating AI-driven workflows using structured datasets.
Key Responsibilities:
- Design, develop, and maintain SQL- and Python-based data workflows
- Architect and develop robust ETL/ELT pipelines and orchestration processes across platforms such as Snowflake and Salesforce;
- Work with complex and unstructured operational and financial data;
- Perform data modeling in Snowflake and other cloud data warehouses;
- Build secure and reliable integrations between systems using APIs, exports, and manual data loads;
- Apply data security best practices for data storage and movement, including access management, credentials, and secure connectivity;
- Make independent, business-oriented decisions regarding the pipelines being developed;
- Partner closely with clients to understand their business context and translate it into data solutions;
- Support analytics use cases based on structured datasets;
- Develop AI-powered products and APIs, contributing to the evolution of the company's AI-native solutions.
Qualifications:
- Experience in Data Science, Analytics Engineering, or Data Engineering, including experience architecting data pipelines on platforms such as Snowflake, Salesforce, or similar technologies;
- Strong, hands-on experience with SQL, including advanced queries, data modeling, and performance optimization;
- Strong experience with Python for data processing and pipeline development;
- Experience building and orchestrating production-grade data pipelines;
- Knowledge of Snowflake or similar cloud data platforms is a plus;
- Understanding of data security fundamentals, including secure connectivity, credential management, and access control;
- Strong business understanding applied to data pipelines, with the autonomy to make data-related decisions;
- AI-oriented mindset, with an interest in working in an AI-native environment and developing AI-powered products and APIs;
- Ability to work independently and take ownership of problems end-to-end;
- Comfortable working in environments characterized by ambiguity and a high level of change;
- Clear and effective communication skills, with the ability to interact with both technical and non-technical stakeholders;
- Entrepreneurial mindset and interest in contributing to the development of solutions from the ground up.
Nice to Have:
- Experience working with companies in the financial services or financial business sectors;
- Experience with Power BI or other BI tools;
- Experience working with financial or operational data;
- Experience in consulting or client-facing roles;
- Interest in Artificial Intelligence tools and applied AI workflows.
What you will find at GX2:
- Authorial content hub segmented by learning tracks (AI, QA, Agility, UX/UI Design, Product, Software Development);
- Monthly talks focused on soft skills development;
- A culture of care for people and mental health;
- Mental health and well-being platform;
- GX2 Follow Up: Monthly individual check-ins focused on well-being and development.
Message from GX2:
This position is open to all interested individuals. We work daily to build a diverse and inclusive environment that values and respects differences, and we advocate for the freedom to be who you are, free from stereotypes and prejudice.