Data Engineer: AWS & Snowflake Real-Time Pipelines

David Yurman; New York (NY); Hybrid; USD 140,000 - 150,000; Full time

Benefits offered by this job

Healthcare benefits

401(k) plan

Employee discounts

Generous paid time off

Sick time

Job summary

David Yurman is seeking a Data Engineer to design and implement data solutions in a hybrid setting in New York. The role involves creating AWS-based data pipelines, ensuring data integrity, and collaborating across various systems.

Candidates should have strong experience in AWS technologies and Snowflake, with excellent communication skills. A Master's degree in Computer Science or relevant experience is required. The estimated base salary is $140,000 to $150,000.

Qualifications

• Minimum 5-7 years of experience in AWS-based data solutions.
• 5+ years' experience with Snowflake is essential.
• Familiarity with retail business and Salesforce ecosystem is a plus.

Responsibilities

• Design and build production-grade data pipelines using AWS.
• Implement data warehousing patterns for historical tracking.
• Develop integrations across retail and supply chain systems.

Skills

Data integration solutions

AWS Technologies (Lambda, Step Function, Fargate, Glue)

SQL

Python

Data pipeline orchestration

Education

Master’s degree in Computer Science or equivalent experience

Tools

Snowflake

Terraform

Job description

David Yurman is seeking a Data Engineer to design and implement data solutions in a hybrid setting in New York. The role involves creating AWS-based data pipelines, ensuring data integrity, and collaborating across various systems.

Candidates should have strong experience in AWS technologies and Snowflake, with excellent communication skills. A Master's degree in Computer Science or relevant experience is required. The estimated base salary is $140,000 to $150,000.