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Senior Data Engineer - Snowflake Expertise

This role is for a Senior Data Engineer specializing in Snowflake, remote for CST/EST residents, lasting 6+ months. Requires 3+ years of data engineering experience, strong SQL skills, and expertise in data integration, automation, and CRM systems. Pay rate W2 only.
🌎 - Country
United States
💱 - Currency
$ USD
💰 - Day rate
Unknown
Unknown
🗓️ - Date discovered
February 13, 2025
🕒 - Project duration
More than 6 months
🏝️ - Location type
Remote
📄 - Contract type
W2 Contractor
🔒 - Security clearance
Unknown
📍 - Location detailed
United States
🧠 - Skills detailed
#Data Management #CRM (Customer Relationship Management) #Scala #Storage #Data Dictionary #Snowflake #"ETL (Extract #Transform #Load)" #Automation #SQL (Structured Query Language) #Documentation #Data Integration #Data Engineering #Data Quality #Computer Science #Data Manipulation #Data Pipeline #Data Storage
Role description
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Hello

We are looking for a Sr. Data Engineer (Snowflake Specialist) - Remote Roles – Must be currently living in CST and EST time zones

Duration: 6+ months with possibility of longer term extensions

Pay Rate open – W2 only

No C2C, H1B, 1099, TN Visa, F1 - CPT or OPT at this time.

If interested, please email your resume to grace.johnson@motionrecruitment.com

Must have expertise in Snowflake to support our commercial team by integrating data sources, managing data infrastructure, and optimizing data models for analytics and reporting.

Key Responsibilities:

Data Integration & Management:

Integrate data from multiple sources (CRM, sales, marketing) into Snowflake.

Develop efficient data models for reporting and analytics.

Ensure data quality, integrity, and availability for business needs.

Data Dictionary Management:

Develop and maintain a commercial data dictionary for Snowflake data.

Collaborate with business and IT teams to standardize data definitions.

Keep documentation up to date for transparency and consistency.

Data Infrastructure & Automation:

Design and optimize scalable data pipelines in Snowflake.

Automate recurring data tasks such as ETL processes.

Support real-time analytics by ensuring efficient data storage and retrieval.

Qualifications:

Bachelor's or Master’s degree in Computer Science, Data Engineering, or a related field.

3+ years of experience in data engineering with a focus on Snowflake.

Strong SQL skills for data manipulation and query optimization.

Experience with data pipeline automation and ETL processes.

Experience with CRM systems (Salesforce, C4C) and sales performance data is a plus.

Sales and Revenue Data Management experience.