Senior Data Engineer - Hybrid AI & Data Platform Lead

ULSE; Evanston (IL); Hybrid; USD 89,602 - 123,202; Full time

Benefits offered by this job

Bonus compensation

Comprehensive medical, dental, vision, and life insurance

401(k) matching up to 5%

Flexible working arrangements

Paid time off including vacation and sick days

Job summary

ULSE in Evanston, IL is looking for a Senior Data Engineer to design and maintain scalable data architectures. This hybrid role involves leading initiatives to support standards development and data science while ensuring the alignment of business needs and data solutions.

The ideal candidate will have a Bachelor's degree in a related field and over 5 years of experience. Key responsibilities include overseeing data platform performance and collaborating across teams to foster innovative data solutions.

Qualifications

• Minimum 5 years of related work experience.
• Experience designing and developing enterprise-scale data platforms.
• Advanced proficiency in Python and SQL.

Responsibilities

• Design and maintain scalable data architectures and platforms.
• Lead management of complex datasets from diverse sources.
• Monitor and improve data platform performance and efficiency.

Skills

Data architecture

Data integration

Cloud-based data platforms

Python

SQL

Project management

Machine learning

Data governance

AI-enabled data infrastructure

Education

Bachelor’s degree in Computer Science, Data Engineering, or related field

Tools

SQL Server

Elasticsearch

Azure Cosmos DB

MongoDB

Bash

Job description

ULSE in Evanston, IL is looking for a Senior Data Engineer to design and maintain scalable data architectures. This hybrid role involves leading initiatives to support standards development and data science while ensuring the alignment of business needs and data solutions.

The ideal candidate will have a Bachelor's degree in a related field and over 5 years of experience. Key responsibilities include overseeing data platform performance and collaborating across teams to foster innovative data solutions.