Lead Data Engineer / Pricing / SQL / Python / Snowflake / Chicago (Hybrid)

2 Days Old

A top-tier B2B e-commerce powerhouse based in Chicago is hiring a full-time Lead Data Engineer to join their high-impact Pricing Technology team. This hybrid opportunity blends strategic ownership with hands-on engineering, leveraging a modern stack of Python, SQL , Snowflake, DBT, Airflow, DAGs and AWS to transform pricing operations at scale.
This is a one of a kind of role that actually moves the needle. As part of a lean, but very sharp and collaborative team, you'll design and deploy cloud-native data pipelines that directly influence how products are priced, promoted, and positioned in the business. They're looking for an experienced builder, someone who thrives on ownership, mentors others, and wants their work to matter. If you want high visibility, strong work-life balance, and the chance to architect pricing infrastructure that powers an industry giant (and you have the credentials) apply now!
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 : Data Engineering
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Location:
Chicago
Job Type:
FullTime

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