Lead Data Engineer

Moen

Lead Data Engineer handling cloud data warehouse administration for Fortune Brands Innovations. Designing scalable, reliable, & secure data architectures, utilizing Git for version control.

Posted 7/8/2026full-timeRemote • Illinois • 🇺🇸 United StatesSenior💰 $160,555 - $193,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in administering cloud data warehouse platforms, developing and maintaining ETL/ELT pipelines, and implementing CI/CD practices. Proficient in SQL and Python development, with a focus on performance optimization and security in data architectures.

Highest-signal resume keywords

Cloud Data Warehouse AdministrationETL/ELT Pipeline DevelopmentProfessional SQL DevelopmentPython Development with Code QualityCI/CD Implementation for Data Code

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

ETL DevelopmentSQL DevelopmentPython DevelopmentData Architecture DesignPerformance TuningData Transformation FrameworksVersion Control with GitCloud Data Platform Cost OptimizationData Migration from APIsUnix-Based Command-Line Tools

Tools & Technologies

SnowflakeAmazon RedshiftGoogle BigQueryDbtCI/CD Tools

Certifications & Qualifications

Bachelor's Degree in Computer ScienceBachelor's Degree in Information Systems

Industry Keywords

Data EngineeringData OperationsRole-Based AccessSecurity GovernanceData Monitoring

Tech Stack

Tools & technologies

Amazon RedshiftBigQueryCloudERPETLOraclePythonSQLUnix

About the role

Key responsibilities & impact

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

Requirements

What you’ll need

Bachelor's Degree in Computer Science, Information Systems, or related
5 years of experience in a data engineering or data operations position
5 years of experience developing & maintaining ETL/ELT pipelines
5 years of experience utilizing professional SQL development
Professional Python development with code-quality/testing practices
Experience using version control within the development lifecycle
Experience working with a cloud data warehouse platform (e.g., Snowflake, Amazon Redshift, or Google BigQuery)
Experience with performance optimization & role-based access/security
Experience building transformations & models using a data transformation framework (e.g., dbt or similar)
Experience implementing CI/CD for data code using common tools
Experience monitoring & optimizing cloud data platform costs
Experience migrating & loading data from APIs, SaaS applications, & ERP systems (e.g., Oracle or SAP)
Experience working with ETL tools & relational database platforms; & Unix-based command-line tools

Benefits

Comp & perks

Comprehensive health plans
Market-leading 401(k) program with company contribution
Product discounts
Flexible time off benefits
Adoption benefits