Snowflake Developer

Global Systems Search Inc; New York (NY); Hybrid; USD 145,000 - 166,000; Full time

Job summary

A leading company is seeking a seasoned Snowflake Developer to join their BI Technology team for a high-profile infrastructure initiative. The role involves developing Snowflake-based solutions and collaborating with teams across multiple regions. Ideal candidates will have extensive experience in Snowflake and Python, particularly in financial domains.

Qualifications

• 6+ years of hands-on Snowflake development.
• 6+ years of Python programming experience.
• Strong experience with data warehousing concepts and Kimball methodology.

Responsibilities

• Develop and enhance Snowflake-based data warehouse solutions.
• Build data pipelines and transformations using Python.
• Collaborate with cross-functional teams to support reporting requirements.

Skills

Snowflake development

Python programming

Data warehousing concepts

CI/CD tools

Batch job scheduling

Security scanning tools

Large-scale database development

Education

Bachelor’s Degree in Computer Science or related field

Tools

Control-M

GitHub

TeamCity

SDA

Job description

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Global Systems Search Inc provided pay range

This range is provided by Global Systems Search Inc. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

Base pay range

$70.00/hr - $80.00/hr

Job Title: Snowflake Developer

Location: Midtown, NYC (Hybrid – 4 days onsite, may transition to fully onsite)

Employment Type: Contract (Long-Term, Special Project)

Overview:

We are seeking a seasoned Snowflake Developer to join our BI Technology team in support of a high-profile, multi-million dollar infrastructure initiative spanning New York, London, and Asia. This platform leverages Snowflake and Python as core technologies and supports enterprise-wide data warehousing and reporting needs. This role is ideal for candidates with experience in regulatory reporting development, large-scale data projects, or financial domains such as Risk, Finance, or Product Control.

Key Responsibilities:

• Develop and enhance Snowflake-based data warehouse solutions.
• Build data pipelines and transformations using Python.
• Collaborate with cross-functional teams including Business Managers, Finance, and Risk to support reporting requirements.
• Work on batch scheduling using Control-M.
• Apply data warehousing best practices and Kimball methodologies.
• Support CI/CD processes using GitHub, Git Actions, TeamCity, and SDA.
• Perform Veracode scans and remediate vulnerabilities as needed.
• Participate in production support and on-call rotations as required.

Required Skills & Experience:

• 6+ years of hands-on Snowflake development
• 6+ years of Python programming experience
• Strong experience with data warehousing concepts and Kimball methodology
• Familiarity with CI/CD tools: GitHub, Git Actions, TeamCity, SDA
• Experience with Control-M for batch job scheduling
• Solid understanding of Veracode or similar security scanning tools
• Background in large-scale database development projects

Preferred Qualifications:

• Experience with capital markets or investment banking data
• Understanding of financial products and reporting used by Product Control or Finance departments
• Exposure to management/trading data reporting within financial services

Personal Attributes:

• Strong verbal and written communication skills
• Ability to simplify complex technical concepts for business stakeholders
• Agile and adaptable in a dynamic environment
• Strong interpersonal skills and team collaboration
• Self-motivated and capable of managing multiple priorities
• Willingness to support after-hours work or production cycles as needed

Education:

• Bachelor’s Degree in Computer Science or a related field (minimum)

Interview Process:

• 2 remote interview rounds (1 hour each)
• Final interview onsite

Seniority level

• Seniority level

  Mid-Senior level

Employment type

• Employment type

  Contract

Job function

• Job function

  Information Technology

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