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Data Engineer

The Judge Group

Title : Data Engineer


Duration: 12 months+ Open Contract
Location: Buffalo, NY remote
Interview information: Single 90-minute technical interview

Must Haves:
  • Project Management
  • Strong database experience :
  • DDL / DML
  • Data querying, insertion, and manipulation
  • Strong programming foundation (language-agnostic mindset):
  • Java, Python, Ruby, or JavaScript/TypeScript
  • Experience with:
  • CI/CD pipelines (GitLab preferred)
  • Git/version control
  • Experience with APIs (consumption and integration)
  • Solid understanding of:
  • Test data management
  • Data obfuscation / masking
  • Synthetic data generation
  • Experience with cloud platforms (Azure strongly preferred)
  • Ability to work with and across:
  • Legacy systems
  • Modern cloud environments
  • Strong communication skills (working with app teams, stakeholders)
  • Ability to operate as a self-starter in a fast-paced environment
Nice to Haves:
  • Experience with Delphix (DCT / Compliance Tool) or similar:
  • Broadcom or other data masking solutions
  • Containerization experience :
  • Docker
  • Kubernetes (basic understanding is sufficient)
  • Exposure to quality assurance/testing practices
  • Financial services experience (highly preferred)
  • Data conditioning within banking environments
  • Experience with mainframe systems :
  • VSAM files or legacy data platforms
  • Familiarity with AI-assisted tools (Copilot, GitLab Duo)
Key Responsibilities:
  • Support enterprise test data management initiatives
  • Perform data obfuscation/masking for non-production environments
  • Enable synthetic data generation to reduce use of sensitive data
  • Work across:
  • Databases
  • APIs
  • Mainframe and cloud systems
  • Support teams requesting test data across the bank
  • Integrate data processes into CI/CD pipelines
Ideal Candidate Traits:
  • Able to communicate effectively across all levels (technical & leadership)
  • Adaptable in a mixed/legacy + modern tech environment
  • Confident in technical knowledge (can explain decisions clearly)
  • Strong ability to understand the big picture
  • Comfortable working in complex enterprise ecosystems
Title : Data Engineer


Duration: 12 months+ Open Contract
Location: Buffalo, NY remote
Interview information: Single 90-minute technical interview

Must Haves:
  • Project Management
  • Strong database experience :
  • DDL / DML
  • Data querying, insertion, and manipulation
  • Strong programming foundation (language-agnostic mindset):
  • Java, Python, Ruby, or JavaScript/TypeScript
  • Experience with:
  • CI/CD pipelines (GitLab preferred)
  • Git/version control
  • Experience with APIs (consumption and integration)
  • Solid understanding of:
  • Test data management
  • Data obfuscation / masking
  • Synthetic data generation
  • Experience with cloud platforms (Azure strongly preferred)
  • Ability to work with and across:
  • Legacy systems
  • Modern cloud environments
  • Strong communication skills (working with app teams, stakeholders)
  • Ability to operate as a self-starter in a fast-paced environment
Nice to Haves:
  • Experience with Delphix (DCT / Compliance Tool) or similar:
  • Broadcom or other data masking solutions
  • Containerization experience :
  • Docker
  • Kubernetes (basic understanding is sufficient)
  • Exposure to quality assurance/testing practices
  • Financial services experience (highly preferred)
  • Data conditioning within banking environments
  • Experience with mainframe systems :
  • VSAM files or legacy data platforms
  • Familiarity with AI-assisted tools (Copilot, GitLab Duo)
Key Responsibilities:
  • Support enterprise test data management initiatives
  • Perform data obfuscation/masking for non-production environments
  • Enable synthetic data generation to reduce use of sensitive data
  • Work across:
  • Databases
  • APIs
  • Mainframe and cloud systems
  • Support teams requesting test data across the bank
  • Integrate data processes into CI/CD pipelines
Ideal Candidate Traits:
  • Able to communicate effectively across all levels (technical & leadership)
  • Adaptable in a mixed/legacy + modern tech environment
  • Confident in technical knowledge (can explain decisions clearly)
  • Strong ability to understand the big picture
  • Comfortable working in complex enterprise ecosystems
Vacancy posted 2 days ago
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