Lead Data Engineer (Python, Databricks, SQL)

CIBC

Hybrid

Quick summary

Work type: Hybrid
Location: Chicago, IL
Salary: $150,000–$165,000 / yr
Posted: 6 days ago
Closes: Jun 27, 2026
Nearby: 99+ roles within 25 mi

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $171k

This role $158k

$121k most similar roles pay here $223k

This role pays less than 66% of similar roles. Most pay $130,833–$211,200 — the shaded band above. At the midpoint, this role pays about $158k versus about $171k for comparable roles.

Based on 240 similar postings.

Employer

About CIBC

CIBC (Canadian Imperial Bank of Commerce) is a leading North American financial institution offering personal, business, public sector, and institutional banking, investment banking, and wealth management services. Industry: Banking & Financial Services

CIBC currently has 13 open roles on FindRole.

Listed pay typically runs $120,000–$150,000 across 13 roles with salary data.

Most-posted roles

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At a glance

TL;DR · Lead Data Engineer (Python, Databricks, SQL)

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The Lead Data Engineer at CIBC’s US Technology, Infrastructure & Innovation team will oversee the end-to-end delivery of U.S. Data Strategy capabilities, including ETL processes and analytics solutions aligned with a multi-year roadmap. This hands-on role involves translating business objectives into secure, scalable cloud data solutions using Azure and Databricks technologies such as PySpark/Scala and SQL Server. The candidate will continuously improve software development lifecycle throughput through intake/estimation and KPI management while driving innovation via proofs of concept and modernization efforts. Essential skills include 8-12 years of relevant experience in financial services or tech, expertise in Azure/Databricks data engineering, strong SQL Server development, and proficiency in DevOps practices like CI/CD and automation tools.

Skills

Azure Databricks PySpark Python SQL Server SSIS CI/CD Tableau Cognos Power BI Jira Azure DevOps GitHub Copilot DevOps Agile Kubernetes Terraform

What you'll do

Translate business and product objectives into secure, scalable cloud data solutions.
Define technical architecture to modernize systems and reduce technical debt.
Lead innovation through proofs of concept and continuous modernization efforts.
Manage end-to-end delivery of U.S. Data Strategy capabilities including ETL and analytics.
Ensure regulatory compliance and embed risk management in all processes.