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Senior Operations & Data Engineer; Snowflake Specialist : State

Job in Denver, Denver County, Colorado, 80202, USA
Listing for: ShiftCode Analytics
Full Time position
Listed on 2026-07-01
Job specializations:
  • IT/Tech
    Data Engineering, Cloud Computing: Infrastructure & Operations, Data Warehousing
Job Description & How to Apply Below
Position: Senior Operations & Data Engineer (Snowflake Specialist) : State of CO

Senior Operations And Data Engineer

The Office of Information Technology (Client) is seeking a highly specialized Senior Operations and Data Engineer to serve as the primary administrator and technical lead for our Snowflake ecosystem. This role is a hybrid of platform operations and high-level data engineering, ensuring that sensitive state and federal data (FTI/CJIS) is managed within a secure, high-uptime, and cost-effective environment.

Preferred Qualifications

To be considered for this role, candidates should provide proof of the following:

  • Active Snowflake Certification
  • Background Clearance Readiness:
    Absolute eligibility to pass Client, FTI (Federal Tax Information), and CJIS (Criminal Justice Information Services) background checks.
Key Responsibilities

Platform Operations & Administration:

  • Snowflake Mastery:
    Act as the lead administrator for Snowflake environments; manage platform uptime, vendor escalations, and patch/versioning communications.
  • Environment Provisioning:
    Configure Snowflake, including complex RBAC (Role-Based Access Control) and security permissions.
  • Governance & CI/CD:
    Implement and manage Data Ops and CI/CD pipelines to automate deployments for the broader implementation team.
  • Financial Stewardship:
    Configure cost-management features such as Snowflake resource monitors, budgets, and consumption tracking; consult on chargeback models.

Data Engineering & Transformation:

  • Pipeline Architecture:
    Develop robust ETL/ELT pipelines to ingest data from transactional systems (Line of Business) into the analytical Snowflake environment.
  • Analytical Modeling:
    Translate Data Architect visions into technical reality by building complex transformations and target schemas.
  • Quality Management:
    Design and deploy automated data cleansing and quality-check pipelines.
  • Performance Engineering:
    Optimize data flows for specific latency and frequency requirements while maintaining credit efficiency.
Skills

Primary Deliverables:

  • Architectural Contributions:
    Design reviews, Architectural Plans, and Scope Documents.
  • Deployment Assets:
    New account/environment deployments, security schemas, and permission assignments.
  • Engineering Assets:
    Comprehensive ETL Pipeline Design Documents, Mapping Documents, and production-ready Pipelines.
  • Product Backlog & Support Ticket Management; performance reports
  • Weekly Status Reports
Position Requirements
10+ Years work experience
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