Overview
On Site
160k - 180k
Full Time
Skills
Recruiting
Pricing Strategy
MRO
Extract
Transform
Load
Data Engineering
Cloud Computing
Orchestration
Communication
Requirements Elicitation
Leadership
Pricing
Electronic Commerce
Advanced Analytics
Business Intelligence
Tableau
Microsoft Power BI
Machine Learning (ML)
Amazon Web Services
Snow Flake Schema
Python
SQL
Collaboration
Mentorship
IT Management
Insurance
Professional Development
SAP BASIS
MW
Job Details
A leading industrial supply and e-commerce company is hiring a full-time Lead Staff Data Engineer to join their Pricing Technology team. This role offers hybrid flexibility and leverages modern tools like AWS, Snowflake, DBT, Airflow, and Python.
Want to drive pricing strategy at scale for a multi-billion-dollar organization? This high-impact team is building modern data products that shape profitability and competitiveness in the MRO industry. You'll be 80% hands-on, 20% mentorship-collaborating with engineers, data scientists, and stakeholders to deliver production-ready ETL solutions. Enjoy strong work-life balance, excellent benefits from day one, and a chance to influence next-gen pricing infrastructure.
Required Skills & Experience
Tech Breakdown
The Offer
Applicants must be currently authorized to work in the US on a full-time basis now and in the future.
#LI-MW9
Want to drive pricing strategy at scale for a multi-billion-dollar organization? This high-impact team is building modern data products that shape profitability and competitiveness in the MRO industry. You'll be 80% hands-on, 20% mentorship-collaborating with engineers, data scientists, and stakeholders to deliver production-ready ETL solutions. Enjoy strong work-life balance, excellent benefits from day one, and a chance to influence next-gen pricing infrastructure.
Required Skills & Experience
- 10+ years of Data Engineering experience
- 5+ years building & deploying cloud-native pipelines (AWS)
- Strong Python & SQL skills
- DBT, Airflow, Snowflake
- DAGs or similar orchestration tools
- Experience designing scalable data lakes and pipelines
- Strong cross-functional communication and requirement gathering skills
- Team mentorship and tech leadership
- Experience with data mesh architecture
- Background in pricing, ecommerce, or advanced analytics
- Familiarity with BI tools like Tableau or Power BI
- Machine Learning exposure is a plus
Tech Breakdown
- 40% AWS, Snowflake, DBT
- 30% Airflow and DAGs
- 30% Python & SQL
- 80% Hands-On Development
- 10% Team Collaboration
- 10% Mentorship / Technical Leadership
The Offer
- Bonus eligible (15%)
- Medical, Dental, and Vision Insurance (starting day one)
- 18 PTO days + 6 paid holidays
- 401(k) with 6% company contribution (no match required)
- Parental leave and maternity benefits
- Tuition reimbursement and professional development
- Stock Options
Applicants must be currently authorized to work in the US on a full-time basis now and in the future.
#LI-MW9
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.