

Data Engineer
β - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Engineer in Smithfield, RI, lasting 12+ months with a pay rate of "pay rate". Required skills include Java (Spring Batch/Boot), ANSI SQL (Oracle, Snowflake), and AWS. A technology degree and 5+ years of experience are essential.
π - Country
United States
π± - Currency
$ USD
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π° - Day rate
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ποΈ - Date discovered
July 29, 2025
π - Project duration
More than 6 months
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ποΈ - Location type
On-site
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π - Contract type
Unknown
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π - Security clearance
Unknown
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π - Location detailed
Rhode Island, United States
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π§ - Skills detailed
#DevOps #Scripting #Computer Science #S3 (Amazon Simple Storage Service) #Agile #Java #Scrum #AWS (Amazon Web Services) #Data Analysis #Jenkins #Python #Unix #Kanban #Data Modeling #Oracle #IAM (Identity and Access Management) #Shell Scripting #Data Engineering #Docker #Cloud #Terraform #Bash #Batch #Spring Boot #Snowflake #SQL (Structured Query Language)
Role description
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Position: Data Engineer
Location: Smithfield, RI only
Duration:12+ Months
Must haves:
β’ Java, with focus on building batch / backend applications using Spring Batch / Spring Boot frameworks
β’ ANSI SQL (Oracle, Snowflake)
β’ AWS (Batch, S3, IAM, KMS)
Nice to haves: Control-M, Python, Jenkins Docker & Terraform, CloudFormation
The Expertise and Skills You Bring
β’ Bachelor's or Master's Degree in a technology related field (e.g. Engineering, Computer Science, etc.) required with 5+ years of working experience
β’ 4+ years of Java development utilizing Spring frameworks. Experience writing batch jobs with Spring Batch is highly desirable
β’ 2+ years of experience developing applications that run in AWS, with focus on AWS Batch, S3, IAM
β’ 2+ years working with SQL (ANSI SQL, Oracle, Snowflake)
β’ 1+ years of Python development
β’ Experience with Unix shell scripting (bash, ksh) and scheduling / orchestration tools (Control-M)
β’ Strong data modeling skills with experience working with 3NF and Star Schema data models
β’ Proven data analysis skills; not afraid to work in a complex data ecosystem
β’ Hands-on experience on SQL query optimization and tuning to improve performance is desirable
β’ Experience with DevOps, Continuous Integration and Continuous Delivery (Jenkins, Terraform, CloudFormation)
β’ Experience in Agile methodologies (Kanban and SCRUM)
β’ Experience building and deploying containerized applications using Docker
β’ Work experience in the financial services industry is a plus
β’ Proven track record to handle ambiguity and work in a fast-paced environment, either independently or in a collaborative manner
β’ Good interpersonal skills to work with multiple teams within the business unit and across the organization