Mondo
Sr. Data Engineer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Sr. Data Engineer, contract-to-hire for 6 months, remote (CST/EST hours), with a pay rate of $65-85/hr. Requires 7+ years in Data Engineering, advanced Python and SQL skills, and 6+ years of Snowflake experience.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
680
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🗓️ - Date
May 28, 2026
🕒 - Duration
More than 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
Charlotte, NC
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🧠 - Skills detailed
#Lambda (AWS Lambda) #Data Warehouse #Azure DevOps #Scala #Data Engineering #Data Pipeline #Data Replication #Python #SNS (Simple Notification Service) #AWS Lambda #Migration #Data Migration #Data Ingestion #SQL (Structured Query Language) #AWS (Amazon Web Services) #Snowflake #S3 (Amazon Simple Storage Service) #"ETL (Extract #Transform #Load)" #dbt (data build tool) #Fivetran #Data Quality #SQL Server #Replication #DevOps #Batch #Airflow #Azure
Role description
Job Title: Sr. Data Engineer
Location-Type: Remote (must work CST or EST hours)
Start Date: ASAP
Duration: Contract-to-Hire, 6 months
Compensation Range: $65-85/ hr W2
Benefits: Eligible for Health, Dental, Vision, and 401K
Visa Sponsorship: Not eligible for visa sponsorship
Job Description:
The client is seeking a hands-on Sr. Data Engineer to design, build, and maintain scalable data ingestion pipelines and optimize a Snowflake-based data warehouse environment supporting procurement and supply chain data operations.
Job Summary
• Design, build, test, and implement scalable data pipelines using Python and SQL
• Maintain and optimize the organization's Snowflake data warehouse, including data ingestion and query performance tuning
• Extract data from APIs using Python and AWS Lambda, and automate workflows using AWS Airflow
• Perform analysis and critical thinking to troubleshoot data-related issues and implement data quality checks and scripts
• Collaborate with data engineers and architects to develop new pipelines and optimize existing ones
• Maintain code via CI/CD processes within an Azure DevOps platform
• Support CDC and batch ingestion processes, including cutover activities to ensure seamless data continuity for downstream business users
Minimum Requirements:
• 7 years of experience in Data Engineering with a focus on building and implementing scalable data ingestion pipelines
• Minimum of 10 years advanced proficiency in both Python and SQL, with correct syntax at a senior level
• Minimum of 6 years of hands-on Snowflake experience, including data ingestion, architecture, and query performance optimization
• Experience with AWS services including Lambda, Airflow, Glue, S3, and SNS
• Familiarity with both CDC and batch processing approaches for data replication
• Experience owning data pipelines end-to-end using Fivetran or a comparable data ingestion tool
Preferred Qualifications:
• Experience with DBT for pipeline and data model development
• Background supporting large-scale data migrations, including SQL Server cutover projects
• Experience working within large enterprise environments
• Strong communication skills with the ability to work autonomously, adapt to shifting timelines, and remain receptive to feedback
Job Title: Sr. Data Engineer
Location-Type: Remote (must work CST or EST hours)
Start Date: ASAP
Duration: Contract-to-Hire, 6 months
Compensation Range: $65-85/ hr W2
Benefits: Eligible for Health, Dental, Vision, and 401K
Visa Sponsorship: Not eligible for visa sponsorship
Job Description:
The client is seeking a hands-on Sr. Data Engineer to design, build, and maintain scalable data ingestion pipelines and optimize a Snowflake-based data warehouse environment supporting procurement and supply chain data operations.
Job Summary
• Design, build, test, and implement scalable data pipelines using Python and SQL
• Maintain and optimize the organization's Snowflake data warehouse, including data ingestion and query performance tuning
• Extract data from APIs using Python and AWS Lambda, and automate workflows using AWS Airflow
• Perform analysis and critical thinking to troubleshoot data-related issues and implement data quality checks and scripts
• Collaborate with data engineers and architects to develop new pipelines and optimize existing ones
• Maintain code via CI/CD processes within an Azure DevOps platform
• Support CDC and batch ingestion processes, including cutover activities to ensure seamless data continuity for downstream business users
Minimum Requirements:
• 7 years of experience in Data Engineering with a focus on building and implementing scalable data ingestion pipelines
• Minimum of 10 years advanced proficiency in both Python and SQL, with correct syntax at a senior level
• Minimum of 6 years of hands-on Snowflake experience, including data ingestion, architecture, and query performance optimization
• Experience with AWS services including Lambda, Airflow, Glue, S3, and SNS
• Familiarity with both CDC and batch processing approaches for data replication
• Experience owning data pipelines end-to-end using Fivetran or a comparable data ingestion tool
Preferred Qualifications:
• Experience with DBT for pipeline and data model development
• Background supporting large-scale data migrations, including SQL Server cutover projects
• Experience working within large enterprise environments
• Strong communication skills with the ability to work autonomously, adapt to shifting timelines, and remain receptive to feedback
