

Data Engineer (Cyber)
β - Featured Role | Apply direct with Data Freelance Hub
This role is for a "Data Engineer (Cyber)" in Merrimack, NH, with a contract length of unspecified duration and a pay rate of "W2 only." Requires 5+ years of data engineering experience, proficiency in MS SQL, and familiarity with CI/CD tools.
π - Country
United States
π± - Currency
$ USD
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π° - Day rate
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ποΈ - Date discovered
June 12, 2025
π - Project duration
Unknown
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ποΈ - Location type
On-site
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π - Contract type
W2 Contractor
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π - Security clearance
Unknown
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π - Location detailed
Merrimack, NH
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π§ - Skills detailed
#Azure #Scala #Cloud #Data Analysis #Data Engineering #Jenkins #MS SQL (Microsoft SQL Server) #Agile #Data Ingestion #"ETL (Extract #Transform #Load)" #Security #SQL (Structured Query Language) #Azure cloud #ADaM (Analysis Data Model) #Docker #Data Architecture #Data Pipeline #GIT
Role description
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ONLY W2 NO C2C
We are sourcing a "Data Engineer (Cyber)" to work at our client's location in Merrimack, NH.
Key Responsibilities:
β’ Design, develop, and maintain high-quality data pipelines and solutions for core applications.
β’ Perform comprehensive data analysis and modelling to support business requirements.
β’ Develop and maintain ETL processes for efficient data ingestion and transformation, with experience with SnapLogic would be a plus.
β’ Ensure the performance, security, and scalability of data solutions.
β’ Collaborate with analysts and stakeholders to define, design, and implement data solutions.
β’ Participate in code and design reviews to maintain high data engineering standards.
β’ Contribute to the continuous improvement of data engineering practices, standards, and strategies.
β’ Implement and maintain CI/CD pipelines to ensure smooth and efficient data ingestions and delivery.
β’ Work closely with product owners, technical leads, and architects to influence technical improvements.
Required Expertise:
β’ Minimum of 5 years of enterprise data engineering experience and advanced knowledge of data architecture and database technologies.
β’ Strong experience with MS SQL, understanding of SQL MI in Azure cloud is a plus.
β’ Proficiency in data analysis, data modelling, and ETL processes.
β’ Familiarity with data warehousing concepts and technologies.
β’ Experience working in a CI/CD environment with tools like Git SCM, Jenkins, and Docker.
β’ Familiarity with Agile practices and experience delivering data solutions in an Agile environment.