Data Engineer

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