The Senior Data Engineer will build pipelines to unlock 30TB+ of data in a lake, feeding into 4 key initiatives. The role requires strong data engineering skills, including hands-on experience with pipeline building and infrastructure from scratch. Key requirements include 5+ years of data engineering experience, strong Python skills, and experience with Azure or AWS.
Key Highlights
Technical Skills Required
Benefits & Perks
Nice to Have
Job Description
Title: Senior Data Engineer (Azure)
Location: Remote (must work EST hours)
Client: Confidential - eCommerce company (health-related products, not healthcare)
The Role
They've got 30TB+ sitting in a data lake, fully compartmentalized. This role is about building the pipelines to unlock it - not maintaining something that already works. Output feeds 4 initiatives: telehealth, their own product line, a personalization project (redefining UX through data), and their core selling platform. Think consumer behavior - what people buy, when, when they buy again.
Must Have Requirements
- 5+ years data engineering, hands-on building pipelines/infrastructure from scratch
- Strong Python
- Snowflake
- Azure or AWS (Azure preferred, AWS fine if reputable environment)
- Data modeling / warehousing experience
- Can translate technical work for non-technical stakeholders
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- BigQuery (used here as a reporting tool, not core infra)
- eCommerce background
- Computer Science Degree
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- $130k - $155k base
- Up to 10% bonus, pro-rated
- Full benefits - medical/dental/vision, 401k match
- Unlimited PTO, parental leave, wellness/internet reimbursement
- 100% remote
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