Location: Buffalo, NY
Salary: $70.00 USD Hourly - $75.00 USD Hourly
Description: Title : Data Engineer
Duration: 12 months+ Open Contract
Location: Buffalo, NY remote
Interview information: Single 90-minute technical interview
Must Haves:
- Strong database experience:
- Data querying, insertion, and manipulation
- Strong programming foundation (language-agnostic mindset):
- Java, Python, Ruby, or JavaScript/TypeScript
- CI/CD pipelines (GitLab preferred)
- Experience with APIs (consumption and integration)
- Data obfuscation / masking
- Synthetic data generation
- Experience with cloud platforms (Azure strongly preferred)
- Ability to work with and across:
- 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:
- 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
- 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:
- Strong database experience:
- Data querying, insertion, and manipulation
- Strong programming foundation (language-agnostic mindset):
- Java, Python, Ruby, or JavaScript/TypeScript
- CI/CD pipelines (GitLab preferred)
- Experience with APIs (consumption and integration)
- Data obfuscation / masking
- Synthetic data generation
- Experience with cloud platforms (Azure strongly preferred)
- Ability to work with and across:
- 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:
- 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
- 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
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