Design and deploy intelligent data systems that power sales effectiveness through advanced analytics and AI. In this role, you'll engineer scalable data workflows on Microsoft Azure, focusing on computer vision and machine learning integration to transform raw data into strategic assets.
Key Responsibilities
- Develop and maintain data solutions using Python and advanced SQL, ensuring scalability and performance
- Implement and productionize machine learning and computer vision models within Azure environments
- Integrate internal and external systems via API development and consumption
- Translate business requirements from sales teams into functional, data-driven products
- Ensure data pipelines are reliable, efficient, and built for long-term maintainability
- Lead technical initiatives independently, from concept through delivery
What You Bring
- 6+ years of experience in data engineering or closely related fields
- Proven expertise in Python, complex SQL queries, and cloud-based data architectures
- Hands-on experience with Microsoft Azure for data and AI workloads
- Fundamental understanding of machine learning concepts and practical application of computer vision
- Experience designing, building, and consuming RESTful APIs
- Must score at least 70% on the Senior Data Engineer Python technical assessment
Preferred Background
- Experience designing data pipeline architectures and modeling patterns
- Background bridging data engineering and data science functions
- Track record of leading exploratory, research-style projects with minimal oversight
- Success operating in fast-moving, milestone-oriented environments
Environment & Culture
Work remotely as part of a high-performing engineering team serving U.S.-based clients across industries. You'll operate with autonomy in a results-focused setting that values clear communication, ownership, and practical problem solving. The culture emphasizes business impact over theoretical exercises, especially within distributed, international teams.
Long-term collaboration opportunities exist with senior professionals across LATAM. This is a fully remote position open to candidates in Latin America.
