Senior Data Engineer - Cloud-Native Analytics ML Pipelines

TechTriad; New York (NY); On-site; USD 110,000 - 140,000; Full time

Job summary

A leading technology firm in New York City is seeking an experienced Data Engineer to build modern data pipelines and platforms. The ideal candidate has over 5 years of experience, skilled in Python, SQL, and AWS services. Responsibilities include optimizing cloud-native analytics and applying best practices in version control and Infrastructure as Code. Excellent communication skills are essential for success in this role.

Qualifications

• 5+ years of experience in data engineering/science.
• Hands-on experience with Python and statistic libraries like pandas.
• Excellent writing and presentation skills.

Responsibilities

• Build modern data pipelines and platforms using AWS services.
• Work on cloud-native analytics to optimize data workflows.
• Leverage open-source tools and ML frameworks for data delivery.

Skills

Python

SQL

AWS services

Data structures

Algorithms

Database management

Visualization tools

Terraform

Education

Bachelor’s degree in a scientific or quantitative discipline

Tools

Tableau

AWS QuickSight

git

Jupyter notebooks

Sublime

VS Code

Job description

A leading technology firm in New York City is seeking an experienced Data Engineer to build modern data pipelines and platforms. The ideal candidate has over 5 years of experience, skilled in Python, SQL, and AWS services. Responsibilities include optimizing cloud-native analytics and applying best practices in version control and Infrastructure as Code. Excellent communication skills are essential for success in this role.