Data Platform Engineer

Overview We are seeking a Data Platform Engineer with experience building scalable backend services and cloud-based data platforms. The ideal candidate has strong expertise in Python, FastAPI, Snowflake, and modern data engineering practices. Responsibilities Design and develop backend services, APIs, and data applications. Build Snowflake-native solutions using Snowpark, Tasks, Streams, and Stored Procedures. Develop and maintain REST APIs with FastAPI. Write and optimize SQL queries for analytics and reporting. Collaborate with cross-functional teams to deliver secure, scalable, and reliable solutions. Support CI/CD pipelines, containerized deployments, and cloud infrastructure. 5–7 years of software or data platform engineering experience. Strong Python, FastAPI, SQL, and Snowflake expertise. Experience with microservices, Docker, Git, and CI/CD. Knowledge of AWS, Azure, or GCP. Bachelor's degree in Computer Science or a related field. Fintech or financial services experience is an asset.

Design and develop scalable backend services, REST APIs, and Snowflake-native data solutions. Collaborate with cross-functional teams to maintain secure cloud infrastructure and CI/CD pipelines.

Requires 5-7 years of experience in software or data platform engineering with strong expertise in Python, FastAPI, and Snowflake. A Bachelor's degree in Computer Science or a related field is required.

Identified from the job description. Confirm important requirements above.

• Python
• FastAPI
• Snowflake
• SQL
• Snowpark
• REST APIs
• Microservices
• Docker
• Git
• CI/CD
• AWS
• Azure
• GCP
• Data Engineering
• Backend Development

• Data & Analytics
• Software
• Technology
• Engineering
• Consulting

Minimum education

Bachelor’s degree

Minimum experience

5+ years

Apply by

Jan 24, 2027

Posting language

English

Working hours

40 hours per week

Seniority

Not Applicable