Vista Applied Solutions Group Inc

Azure Data Engineer (NO Sponsorship)

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for an Azure Data Engineer with a contract length of "unknown," offering a pay rate of "unknown." Key skills include data warehousing, lakehouse architecture, Medallion Architecture, and proficiency in Python. Azure experience is preferred.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
Unknown
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🗓️ - Date
March 20, 2026
🕒 - Duration
Unknown
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🏝️ - Location
Unknown
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📄 - Contract
Unknown
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🔒 - Security
Unknown
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📍 - Location detailed
Boston, MA
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🧠 - Skills detailed
#Azure #Cloud #Data Catalog #Data Engineering #Data Management #Data Quality #Data Pipeline #Python #Snowflake #Data Warehouse #Databricks #Scala #AWS (Amazon Web Services) #Observability #Metadata #Strategy
Role description
Job Summary for Azure Data Engineer: We are seeking a Senior Data Engineer to join a dynamic data team focused on building and modernizing enterprise data platforms. This role combines hands-on engineering, platform support, and forward-looking architecture design, with an emphasis on mentoring junior team members and driving best practices. Job Qualifications and Responsibilities for Azure Data Engineer: Key Responsibilities • Design, develop, and maintain scalable data warehouse and lakehouse architectures • Implement and optimize Medallion Architecture (Bronze, Silver, Gold layers) • Build robust data pipelines using Python as a primary language • Ensure data observability, quality checks, and governance using modern tools • Support existing data platform (currently on Microsoft Fabric) – ~50% of role • Contribute to platform modernization strategy, evaluating and potentially implementing solutions like Databricks or Snowflake – ~50% of role • Develop and maintain data catalogs and metadata management frameworks • Collaborate with cross-functional teams to understand and deliver on data requirements • Mentor junior engineers and promote engineering best practices Required Qualifications • Strong experience in: • Data Warehousing concepts • Lakehouse architecture • Medallion Architecture • Data Observability & Data Quality frameworks • Data Cataloging tools and practices • Proficiency in Python (primary development language) • Hands-on experience with cloud platforms (Azure preferred; AWS acceptable with willingness to quickly learn Azure) • Strong problem-solving and analytical skills • Excellent communication and interpersonal skills