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Senior Data Engineer

📍 United States 💰 70 – 80 USD / hr 🕒
Work Model
📍 United States
Employment
💼 Full-Time Direct
Recruitment Type
🛡️ Direct to HR Pipeline
🛡️
Human-Verified Opening: Inspected by Sarah Jenkins, CIPD • RemoteVault Editorial Team. Authenticated directly from Harnham's hiring pipeline • Zero recruiter markups or candidate fees. Verification Standards →

📋 Role Overview & Responsibilities

Lead Data EngineerRemote1-Year Contract to Hire$70-80/hr$150-160k with 10% bonus

Are you well versed in Snowflake, DBT, and Python and are looking for your next opportunity? This opportunity will enhance your data modeling in Snowflake and DBT with a company closing the gap between healthcare and financial systems.

THE COMPANYThis world-class technology, information, and internet company is modernizing the business of healthcare through its platform. This company is committed to championing Data and AI through their platform. Does this excite you?

THE ROLE·Build High-level technical design both for Streaming and batch processing systems·Perform POCs on new technology, architectural patterns·Drive the implementation of new data management projects and re-structure of the current data architecture·Drive collaborative reviews of design, code, test plans, and dataset implementation performed by other data engineers in support of maintaining data engineering standards·Lead, mentor, and develop offshore Data Engineers in adopting best practices and, deliver data products.

YOUR SKILLS AND EXPERIENCEA successful Lead Data Engineer within this role will likely have the following skills and experience:·Bachelor's degree in Business Administration, Computer Science, Data Systems or Data Analysis preferred·Minimum of 8+ years experience with Snowflake (Columnar MPP Cloud data warehouse)·Experience within DBT·Design and development of Azure/AWS Data Factory Pipelines preferred·Knowledge of: Git, Azure DevOps, Agile, Jira and Confluence

HOW TO APPLYPlease register your interest by sending your resume to Ben Bochner via Apply link on this page.

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