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Data Engineer

  • Full Time, onsite
  • Strategic Staffing Solutions
  • On Site, United States of America
Salary undisclosed

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STRATEGIC STAFFING SOLUTIONS HAS AN OPENING!

This is a Contract Opportunity with our company that MUST be worked on a W2 Only. No C2C eligibility for this position. Visa Sponsorship is Available! The details are below.

Beware of scams. S3 never asks for money during its onboarding process.

Title: Data Engineer
Contract Length: 12+ months
Location: Charlotte, NC
On Site Work
Onsite
Pay: 75-80

Job ref# 240755

Job Description:
Consult on complex initiatives with broad impact and large-scale planning for Software Engineering. Review and analyze complex multi-faceted, larger scale or longer-term Software Engineering challenges that require in-depth evaluation of multiple factors including intangibles or unprecedented factors. Contribute to the resolution of complex and multi-faceted situations requiring solid understanding of the function, policies, procedures, and compliance requirements that meet deliverables. Strategically collaborate and consult with client personnel.

Required Qualifications:


  • 5+ years of Software Engineering experience, or equivalent demonstrated through one or a combination of the following: work or consulting experience, training, military experience, education.
  • Seeking a Model Enablement Software Engineer (SE) that will partner with the Model Development and Governance team to ensure appropriate model lifecycle compliance and model approval prior to use.
  • This SE will actively contribute to all aspects of the LLMOps, DevOps, MLOps, Container Management, L2/L3 Production Support, Tracking and Reporting
  • The success of the role will need a strong ability to work independently. This SE will possess 4-6 years hands on experience with CICD, Python, database development, data ETL and query on big data environment.
  • Apache Spark
  • API
  • Database
  • DevOps
  • Kubernetes & Docker Containerization
  • Python
  • Additional Skills: LLMOps
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
Report this job

STRATEGIC STAFFING SOLUTIONS HAS AN OPENING!

This is a Contract Opportunity with our company that MUST be worked on a W2 Only. No C2C eligibility for this position. Visa Sponsorship is Available! The details are below.

Beware of scams. S3 never asks for money during its onboarding process.

Title: Data Engineer
Contract Length: 12+ months
Location: Charlotte, NC
On Site Work
Onsite
Pay: 75-80

Job ref# 240755

Job Description:
Consult on complex initiatives with broad impact and large-scale planning for Software Engineering. Review and analyze complex multi-faceted, larger scale or longer-term Software Engineering challenges that require in-depth evaluation of multiple factors including intangibles or unprecedented factors. Contribute to the resolution of complex and multi-faceted situations requiring solid understanding of the function, policies, procedures, and compliance requirements that meet deliverables. Strategically collaborate and consult with client personnel.

Required Qualifications:


  • 5+ years of Software Engineering experience, or equivalent demonstrated through one or a combination of the following: work or consulting experience, training, military experience, education.
  • Seeking a Model Enablement Software Engineer (SE) that will partner with the Model Development and Governance team to ensure appropriate model lifecycle compliance and model approval prior to use.
  • This SE will actively contribute to all aspects of the LLMOps, DevOps, MLOps, Container Management, L2/L3 Production Support, Tracking and Reporting
  • The success of the role will need a strong ability to work independently. This SE will possess 4-6 years hands on experience with CICD, Python, database development, data ETL and query on big data environment.
  • Apache Spark
  • API
  • Database
  • DevOps
  • Kubernetes & Docker Containerization
  • Python
  • Additional Skills: LLMOps
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
Report this job