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

4 Days Old

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.
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Posted by: Marshawn Washington
Specialization : Python
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Location:
Chicago, IL, United States
Job Type:
FullTime
Category:
Computer And Mathematical Occupations

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