

Cloud Data Engineer
β - Featured Role | Apply direct with Data Freelance Hub
π - Country
United States
π± - Currency
$ USD
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π° - Day rate
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ποΈ - Date discovered
September 16, 2025
π - Project duration
Unknown
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ποΈ - Location type
Hybrid
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π - Contract type
Unknown
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π - Security clearance
Unknown
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π - Location detailed
Smithfield, RI
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π§ - 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’ Bachelorβs 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.
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’ Bachelorβs 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.