Jobs via Dice

Sr Snowflake Data Engineer (DBT/Fivetran) - Remote - 3-6 Months CTH - W2 Only

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Sr Snowflake Data Engineer (DBT/Fivetran) with a contract length of 3-6 months, remote work, and a focus on Snowflake, SQL, Python, and AWS services. Requires 10+ years in data engineering and ETL/ELT experience.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
Unknown
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🗓️ - Date
October 25, 2025
🕒 - Duration
3 to 6 months
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🏝️ - Location
Remote
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📄 - Contract
W2 Contractor
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🔒 - Security
Unknown
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📍 - Location detailed
United States
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🧠 - Skills detailed
#Scala #SNS (Simple Notification Service) #Consulting #Data Extraction #dbt (data build tool) #Snowflake #S3 (Amazon Simple Storage Service) #Data Warehouse #Fivetran #AWS Lambda #Azure DevOps #Data Pipeline #Data Integrity #Automation #Data Quality #Data Engineering #DevOps #Data Ingestion #SQL (Structured Query Language) #Airflow #"ETL (Extract #Transform #Load)" #Azure #Lambda (AWS Lambda) #AWS (Amazon Web Services) #Python
Role description
Dice is the leading career destination for tech experts at every stage of their careers. Our client, DataEdge Consulting, Inc., is seeking the following. Apply via Dice today! Sr Snowflake Data Engineer Remote 3-6 Months CTH Job Summary We are looking for a hands-on Senior Data Engineer with expertise in developing data ingestion pipelines. This role is crucial in designing, building, and maintaining our data infrastructure, focusing on creating scalable pipelines, ensuring data integrity, and optimizing performance. Key skills include strong Snowflake expertise, advanced SQL proficiency, data extraction from APIs using Python and AWS Lambda, and experience with ETL/ELT processes. Workflow automation using AWS Airflow is essential, and experience with Fivetran and DBT. Job Responsibilities • Design, build, test, and implement scalable data pipelines using Python and SQL. • Maintain and optimize our Snowflake data warehouse s performance, including data ingestion and query optimization. • Extract data from APIs using Python and AWS Lambda and automate workflows with AWS Airflow. • Perform analysis and critical thinking to troubleshoot data-related issues and implement checks/scripts to enhance data quality. • Collaborate with other data engineers and architect to develop new pipelines and/or optimize existing ones. • Maintain code via CI/CD processes as defined in our Azure DevOps platform. Job Qualifications • 10+ years of experience in Data Engineering roles, with a focus on building and implementing scalable data pipelines for data ingestion. • Expertise in Snowflake, including data ingestion and performance optimization. • Strong SQL skills for writing efficient queries and optimizing existing ones. • Proficiency in Python for data extraction from APIs using AWS Lambda, Glue, etc. • Experience with AWS services such as Lambda, Airflow, Glue, S3, SNS, etc. • Highly self-motivated and detail-oriented with strong communication skills. • Familiarity with ETL/ELT processes. • Experience with Fivetran and DBT