Cloud Data Engineer

⭐ - Featured Role | Apply direct with Data Freelance Hub
🌎 - Country
United States
πŸ’± - Currency
$ USD
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πŸ’° - Day rate
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πŸ—“οΈ - Date discovered
September 16, 2025
πŸ•’ - Project duration
Unknown
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🏝️ - Location type
Hybrid
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πŸ“„ - Contract type
Unknown
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πŸ”’ - Security clearance
Unknown
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πŸ“ - Location detailed
Smithfield, RI
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🧠 - Skills detailed
#Python #Azure cloud #SQL Queries #ADF (Azure Data Factory) #Linux #Azure Data Factory #Cloud #Storage #Scala #Shell Scripting #SQL (Structured Query Language) #Java #Data Engineering #"ETL (Extract #Transform #Load)" #Oracle #Scripting #Azure #.Net
Role description
Title: Senior Data Engineer Location: Smithfield, RI (Onsite/Hybrid) Special Instructions: MUST HAVE: Mix of Data Engineer and Cloud Engineer skills. Strong in Azure (Data Factory), PL/SQL, SQL Tuning, and Python. Job Description We are seeking a Senior Data Engineer to join our technical team and contribute to the evolution of a large-scale recordkeeping system. This role blends deep expertise in data engineering, cloud technologies, and development to design, build, and optimize data-centric capabilities. Responsibilities β€’ Act as a technical leader driving define, build, and prove cycles. β€’ Collaborate with architects, cloud engineers, and operations teams to deliver resilient data solutions. β€’ Design and implement ETL strategies, pipelines, and data workflows using Azure Data Factory and related services. β€’ Write and optimize complex SQL queries (PL/SQL) for performance and scalability. β€’ Ensure resiliency, stability, and performance of large-scale data systems. β€’ Mentor and coach junior data engineering team members. β€’ Contribute to system design, development, and optimization in cloud and distributed environments. Required Skills & Experience β€’ Bachelor’s degree and 10+ years of hands-on experience in Data & Cloud Engineering. β€’ Strong expertise in Oracle PL/SQL and SQL performance tuning. β€’ Hands-on experience with Azure cloud services (Data Factory, Storage, etc.). β€’ Proficiency in Python and shell scripting. β€’ Solid understanding of ETL design and development. β€’ Experience with large data sets and distributed systems. β€’ Strong knowledge of Linux environments. β€’ Excellent communication and collaboration skills. β€’ Financial services experience is a plus. β€’ Familiarity with distributed application development (Java, .NET, Python) is a plus. The Team You will join a collaborative squad of data engineers, cloud experts, architects, and operations leads dedicated to building robust, scalable, and resilient data-centric infrastructure capabilities. The mission is to enable business and product teams to innovate while ensuring stability and performance of the data platform.