Lead Staff Data Engineer / AWS / Snowflake / DBT / Chicago (Hybrid)

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

• 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

Desired Skills & Experience

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

What You Will Be Doing

Tech Breakdown

40% AWS, Snowflake, DBT

30% Airflow and DAGs

30% Python & SQL

Daily Responsibilities

80% Hands-On Development

10% Team Collaboration

10% Mentorship / Technical Leadership

The Offer

Bonus eligible (15%)

You will receive the following benefits :

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

Posted by : Marshawn Washington

Specialization :

Python