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# Lead Data Engineer

- **Company:** Fortune Brands
- **Location:** Deerfield, IL, United States (Remote available)
- **Experience:** Expert
- **Salary:** $160,555.0 - $193,000.0
- **Contract:** Permanent contract
- **Skills:** Application Programming Interfaces (APIs), Unix, Command-Line Interface, Software as a Service, Information Systems, Continuous Delivery, Information Engineering, Extract Transform Load (ETL), Data Transformation, Data Security, Relational Databases, Database Development, Python (Programming Language), Oracle (Applications), Performance Tuning, DataOps, SAP (Applications), Snowflake, Git, Information Technology, Google Bigquery, Software Version Control, Data Pipelines, Amazon Redshift
- **Published:** July 7, 2026
- **Apply:** https://jobs.smartrecruiters.com/FortuneBrands/744000136291357-lead-data-engineer

## About the Role

Must have a Bachelor's Degree in Computer Science, Information Systems, or related & 5 years of experience in a data engineering or data operations position., Of experience required, must also have 5 years of experience in each of the following:

 * Developing & maintaining ETL/ELT pipelines
 * Utilizing professional SQL development

 * Professional Python development with code-quality/testing practices

 * Using version control within the development lifecycle

 * Working with a cloud data warehouse platform (e.g., Snowflake, Amazon Redshift, or Google BigQuery) including performance optimization & role-based access/security

 * Building transformations & models using a data transformation framework (e.g., dbt or similar)

 * Implementing CI/CD for data code using common tools

 * Monitoring & optimizing cloud data platform costs

 * Migrating & loading data from APIs, SaaS applications, & ERP systems (e.g., Oracle or SAP)

 * Working with ETL tools & relational database platforms; &
 * Unix-based command-line tools.

## Description

Lead Data Engineer, Fortune Brands Innovations Group, Inc., Deerfield, IL.

Administer a cloud data warehouse platform (e.g., Snowflake or similar), including roles/permissions, performance tuning, security, & cost governance. Utilize Git for version control & collaboration throughout the development lifecycle. Help design scalable, reliable, & secure data architectures & models.


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