Senior Data Engineer – Hybrid Chicago, AI-Ready Platform

Vekend, Llc; Chicago, Northern (IL, KY); Hybrid; USD 140,000 - 180,000; Full time

Benefits offered by this job

Medical, dental, vision insurance

401(k) with company match

Paid time off (PTO)

Flexible work arrangements

Job summary

Vekend, Llc in Chicago seeks a hands-on Senior Data Engineer to design and deliver core capabilities for an enterprise Leasing data platform. You will own data models, build scalable cloud pipelines, and expose governed data via APIs for AI-enabled applications.

In this hybrid role, you’ll collaborate with engineering, product, data science, analytics, and business stakeholders, delivering data products and MCP integrations while ensuring production readiness and cost efficiency.

Qualifications

• Hands-on senior engineer with enterprise data platform delivery experience.
• 7+ years in Data Engineering / Big Data development.
• Strong Linux, Python and SQL skills.
• Experience with cloud data platforms (Azure/AWS) and data modeling.

Responsibilities

• Design and deliver scalable data models and architecture for leasing data.
• Build and modernize cloud data platforms using Azure and/or AWS tools.
• Develop batch and incremental data pipelines with Python, PySpark, and SQL.
• Expose governed data via APIs and MCP integrations for AI/LLM apps.
• Implement data quality, monitoring, and observability for production readiness.
• Collaborate with engineering, product, data science, analytics, and business stakeholders.

Skills

Python

SQL

Data modeling

Big data

Cloud data design

Education

Bachelor's degree

Tools

Azure

AWS

Databricks

PySpark

SQL databases

Job description

Vekend, Llc in Chicago seeks a hands-on Senior Data Engineer to design and deliver core capabilities for an enterprise Leasing data platform. You will own data models, build scalable cloud pipelines, and expose governed data via APIs for AI-enabled applications.

In this hybrid role, you’ll collaborate with engineering, product, data science, analytics, and business stakeholders, delivering data products and MCP integrations while ensuring production readiness and cost efficiency.