Senior ML Engineer - Cloud Data Pipelines

Tiger Analytics

United States

On-site

USD 140,000 - 190,000

Full time

2 days ago

Be an early applicant

Application generator

Stand out for this role — generate a tailored resume and cover letter in about a minute.

Get past ATS filters

Job summary

Tiger Analytics, a global AI and analytics consulting leader, seeks a Senior Data Engineer in the United States to design scalable data pipelines and platform solutions for Fortune 1000 clients. You will apply strong Python, data processing, and software engineering practices to build reliable systems.

You will work across cloud platforms (Azure, Databricks), Spark tuning, and CI/CD pipelines, translating complex requirements into robust, observable data systems.

Qualifications

5+ years of professional software development with Python and OOP.
Deep knowledge of cloud data platforms (Azure, Databricks) and Spark optimization.
Experience building data pipelines for large-scale datasets in distributed systems.

Responsibilities

Translate ambiguous business requirements into scalable data solutions.
Build and optimize data pipelines and platforms.
Collaborate with DS, DE, Cloud Ops, and Product teams.

Skills

Python

Spark

Cloud platforms

CI/CD

Cross-functional teamwork

Tools

Azure

Databricks

Docker

Job description

You will work across cloud platforms (Azure, Databricks), Spark tuning, and CI/CD pipelines, translating complex requirements into robust, observable data systems.

Get your free, confidential resume review.

or drag and drop your file here.