Associate Data Engineer: AI & Analytics Platform

Cresset Capital; Chicago, Northern (IL, KY); Hybrid; USD 85,000 - 110,000; Full time

Benefits offered by this job

Health benefits

401(k) retirement plan

Pre-tax transit benefits

Job summary

Cresset Capital seeks an Associate, Data Engineer to build and maintain data platforms across AWS, Databricks, Snowflake, and Matillion. You will implement data integrations, support BI and AI pipelines, and partner with leadership to translate data needs into robust analytics solutions.

The role emphasizes SQL, data modelling, and handling both structured and unstructured data, with collaboration across teams to deliver timely insights.

Qualifications

• Bachelor's degree in computer science, engineering, or a related field.
• 1+ years of data engineering experience across multiple IT systems.
• Experience building API integrations and consuming vendor documentation.
• Snowflake experience required.
• Proficient in SQL and data modelling techniques.
• Structured and unstructured data expertise.
• Strong communication and collaboration with leadership.

Responsibilities

• Develop and maintain Cresset's data platforms in AWS, Matillion, DBT, Databricks, and Snowflake.
• Build and maintain a data warehouse and analytics framework.
• Create data integrations for BI and AI platforms and cross-system data requests.
• Improve query performance via data modelling and automation.
• Collaborate with business partners to prioritize data needs.
• Prepare and integrate data from multiple sources for analysis.
• Present data clearly to empower dashboards and reports.

Skills

SQL

Data modelling

Analytical thinking

Communication

Education

Bachelor's degree in CS/Engineering

Tools

Snowflake

Matillion

DBT

Databricks

AWS

Python

Job description

Cresset Capital seeks an Associate, Data Engineer to build and maintain data platforms across AWS, Databricks, Snowflake, and Matillion. You will implement data integrations, support BI and AI pipelines, and partner with leadership to translate data needs into robust analytics solutions.

The role emphasizes SQL, data modelling, and handling both structured and unstructured data, with collaboration across teams to deliver timely insights.