Data Engineer (Snowflake) - Hybrid

Phoenix, AZ, US • Posted 30+ days ago • Updated 1 hour ago

Full Time

On-site

Depends on Experience

Cayuse Holdings, LLC

Fitment

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Job Details

Skills

Process Outsourcing
Professional Services
Business Intelligence
Attention To Detail
Advanced Analytics
Data Analysis
Reporting
Sales
Performance Metrics
Decision-making
Data Manipulation
Auditing
Data Recovery
Version Control
Environment Management
Management
Development Testing
Storage
Data Visualization
KPI
Computer Science
Information Systems
Python
Data Processing
SQL
Dashboard
Tableau
Visualization
Data Engineering
Data Integrity
Regulatory Compliance
Real-time
Data Architecture
Application Development
Snow Flake Schema
Cloud Computing
Amazon Web Services
Microsoft Azure
Google Cloud Platform
Google Cloud
Supply Chain Management
Analytics
Business Systems
Collaboration
Law

Summary

Overview

JOB TITLE: Data Engineer (Snowflake)

LOCATION: Phoenix, AZ (Hybrid)

EMPLOYEE TYPE: Contractor (1099/C2C)

PAY RATE: $70-75 per hour

Cayuse Commercial Services (CCS) delivers fresh solutions to business challenges in the technology and business services environment. Services available are application development, business process outsourcing, data services, and professional services. Cayuse helps clients to achieve impactful outcomes such as improved efficiency, reduced cost, increased profitability and accelerated time to market.

Responsibilities

We are seeking a highly skilled Snowflake Data Engineer to join our data engineering team. The ideal candidate will have a deep understanding of Snowflake's data platform and strong expertise in SQL, Python, and data reporting tools such as Tableau. The Snowflake Data Engineer will be responsible for designing, implementing, and optimizing data pipelines, as well as developing analytics capabilities to support business intelligence and decision-making across the organization. This position requires a collaborative, detail-oriented professional with experience in real-time data ingestion, advanced analytics, and managing complex data environments.
Key Responsibilities:

Data Analysis and Reporting: Utilize SQL window functions to perform advanced data calculations, such as running totals, moving averages, and rankings, enabling deeper insights into sales trends and performance metrics.
Automated Insights: Prepare and automate detailed real-time reports using Python and SQL, providing actionable insights to stakeholders and enhancing the company's decision-making processes.
Pipeline Development: Develop and optimize data pipelines using Snowpipe and SnowSQL for real-time and batch data ingestion, achieving improved data processing efficiency by 20%.
Data Applications Development: Implement Snowpark to build scalable and high-performance data applications using Python, enhancing data manipulation, analysis, and processing capabilities.
Data Recovery and Auditing: Leverage Snowflake's Time Travel features to enable auditing, data recovery, and version control, ensuring data integrity and regulatory compliance.
Environment Management: Manage Snowflake's Zero Copy Cloning to create cost-effective development, testing, and staging environments without incurring additional storage costs.
Data Visualization: Collaborate with product managers to develop dynamic dashboards on Tableau, enabling tracking of key supply chain metrics and effectively identifying Key Risk Indicators (KRIs) and Key Performance Indicators (KPIs).

Qualifications

Required Qualifications:

Bachelor's degree in Computer Science, Data Engineering, Information Systems, or a related field. Equivalent work experience may be considered.
Proven experience working with Snowflake Data Cloud and its key functionalities, including Snowpark, Snowpipe, and Time Travel.
Proficiency in programming with Python for data processing and analytics.
Advanced SQL skills, including working with window functions for complex calculations and analysis.
Experience developing interactive dashboards with Tableau or similar visualization tools.
Strong understanding of data engineering best practices, including data integrity, compliance, and real-time data ingestion techniques.
Familiarity with cloud data architecture and concepts such as Zero Copy Cloning and scalable application development.

Preferred Qualifications:

Certification in Snowflake or related cloud data platforms (e.g., AWS, Azure, Google Cloud Platform).
Experience in supply chain analytics or supporting business systems in a large-scale environment.
Strong collaboration skills and ability to work cross-functionally with product managers, analysts, and other engineering teams.

Cayuse is an Equal Opportunity Employer. All employment decisions are based on merit, qualifications, skills, and abilities. All qualified applicants will receive consideration for employment in accordance with any applicable federal, state, or local law.

Pay Range

USD $70.00 - USD $75.00 /Hr.

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

Dice Id: 91099930
Position Id: 2026-3206
Posted 30+ days ago

Company Info

About Cayuse Holdings, LLC

Founded initially in 2006, Cayuse Holdings is today comprised of a family companies headquartered near Pendleton, Oregon, with offices in the Washington D.C. metro area, and Honolulu, HI. Tribally owned by the Confederated Tribes of the Umatilla Indian Reservation (CTUIR), Cayuse Holdings is a 100% Indian Owned Economic Enterprise and a foremost provider of responsible sourcing/certified diversity solutions for commercial, government, and tribal clients.

Our Mission

To become the #1 American Indian-owned commercial, government, and tribal contractor, providing trusted value for our clients, reliable and rewarding careers for our employees and contributing to the growth of the CTUIR.

Our Vision

Grow the Company, Grow the People!

Šapásttawaxt kutkutpama,́ Šapásttawaxt natítayt

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