Data Engineer 12+yrs ( Pref Health Care Domain Exp ) W2 Only Pref ( Ex CVS / Aetna)

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Engineer with 12+ years of experience, preferably in the healthcare domain (ex. CVS/Aetna). It is a 12-month W2 contract, requiring proficiency in SQL, Python, and data engineering principles. Must be willing to relocate.
🌎 - Country
United States
πŸ’± - Currency
$ USD
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πŸ’° - Day rate
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πŸ—“οΈ - Date discovered
September 30, 2025
πŸ•’ - Project duration
More than 6 months
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🏝️ - Location type
Unknown
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πŸ“„ - Contract type
W2 Contractor
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πŸ”’ - Security clearance
Unknown
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πŸ“ - Location detailed
New York, NY
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🧠 - Skills detailed
#Data Pipeline #Python #SQL (Structured Query Language) #"ETL (Extract #Transform #Load)" #Mathematics #Programming #Data Quality #Data Science #TypeScript #Data Engineering #Computer Science
Role description
Dice is the leading career destination for tech experts at every stage of their careers. Our client, yondertech, is seeking the following. Apply via Dice today! Role: Data Engineer 12+yrs ( Pref Health care Domain Exp ) W2 only Pref ( Ex CVS / Aetna) ( No C2c Profiles ) Must be willing to Relocate Duration : 12 months contract Role Overview As a Data Engineer, you will collaborate with internal teams and healthcare partners to design, build, and optimize data solutions tailored to business and clinical needs. Key Responsibilities β€’ Collaborate with senior engineers, analysts, and healthcare stakeholders to gather and understand data requirements. β€’ Develop, optimize, and maintain data pipelines using SQL and Python. β€’ Support the implementation of applications on advanced data solution platforms. β€’ Assist in creating and maintaining data models, ontologies, and integrations. β€’ Provide technical support and troubleshooting for data-related issues. β€’ Stay up to date with emerging technologies, continuously learning and applying new techniques. β€’ Communicate technical solutions effectively to both technical and non-technical stakeholders. Qualifications And Skills β€’ Bachelor s degree in Computer Science, Engineering, Mathematics, Data Science, or a related field. β€’ Exp 12+yrs with Proficiency in SQL, Python, and general data engineering technologies. β€’ Strong understanding of data engineering principles (ETL, data modelling, data quality). β€’ Familiarity with TypeScript or other programming languages (preferred). β€’ Strong analytical, problem-solving, and critical-thinking skills. β€’ Excellent written and verbal communication with a professional demeanor.