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Sr Data Engineer (Snowflake)

This role is for a Sr Data Engineer (Snowflake) in Portland, OR, with a 12+ month contract at a pay rate of "Unknown." Requires 10+ years of experience, automobile domain expertise, and strong skills in Snowflake, ETL, SQL, and cloud platforms.
🌎 - Country
United States
💱 - Currency
$ USD
💰 - Day rate
Unknown
Unknown
🗓️ - Date discovered
February 15, 2025
🕒 - Project duration
More than 6 months
🏝️ - Location type
On-site
📄 - Contract type
Unknown
🔒 - Security clearance
Unknown
📍 - Location detailed
Portland, Oregon Metropolitan Area
🧠 - Skills detailed
#Python #dbt (data build tool) #Databricks #Data Governance #Snowflake #Datasets #Data Processing #Data Lake #Data Engineering #GIT #Scripting #Data Analysis #Scala #Cloud #Storage #Documentation #Clustering #Azure #Data Modeling #Data Science #Monitoring #"ETL (Extract #Transform #Load)" #Data Architecture #Data Integration #SQL (Structured Query Language) #Automation #DevOps #Compliance #Security #AWS (Amazon Web Services) #Data Pipeline #Version Control
Role description
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Hi ,

Sr Data Engineer (Snowflake)

Portland, OR (Onsite)

12+ months contract

10+ yr experience mandatory

Automobile domain exp required

Job Summary:

Responsible for designing, developing, and optimizing data pipelines, ensuring the efficient storage, processing, and retrieval of large-scale datasets. This role requires strong experience in ETL development, data modeling, performance tuning, and cloud-based data solutions.

Key Responsibilities:
• Architect and Develop: Design and implement scalable data pipelines and solutions using Snowflake, SQL, and ETL tools.
• Data Modeling: Create star/snowflake schema data models for efficient querying and analytics.
• Performance Optimization: Fine-tune Snowflake performance, including clustering, partitioning, and query optimization.
• Data Integration: Develop ETL/ELT processes to ingest, transform, and load data from various sources, ensuring quality and reliability.
• Cloud Data Solutions: Work with Azure, AWS to integrate Snowflake within cloud-based data architectures.
• Collaboration: Work closely with data analysts, data scientists, and other engineers to understand business needs and deliver high-quality solutions.
• Security & Compliance: Implement data governance, access control, and compliance best practices.
• Automation & CI/CD: Develop automated workflows, monitoring, and CI/CD pipelines for data engineering processes.
• Documentation: Maintain detailed documentation for data architecture, processes, and pipelines.

Required Skills & Experience:
• 5+ years of experience in Data Engineering.
• Expertise in Snowflake, including architecture, SQL scripting, and performance tuning.
• Strong SQL and experience with ETL/ELT development.
• Experience with cloud platforms (AWS, Azure).
• Proficiency in Python, Databricks for data processing.
• Hands-on experience with DBT, or similar orchestration tools.
• Strong understanding of data warehousing principles, data lakes, and data governance.
• Familiarity with CI/CD pipelines, version control (Git), and DevOps for data.
• Excellent problem-solving and communication skills.

Preferred Qualifications:
• HANA skills
• Snowflake Snowpro certified