

The ProSource Group, Inc.
Senior Data Engineer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is a Senior Data Engineer, 100% remote, with a contract length of unspecified duration. Pay rate is not mentioned. Requires 10+ years in database engineering, expertise in MongoDB, PostgreSQL, and cloud data warehouses, along with strong communication skills.
🌎 - Country
United States
💱 - Currency
$ USD
-
💰 - Day rate
Unknown
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🗓️ - Date
March 17, 2026
🕒 - Duration
Unknown
-
🏝️ - Location
Remote
-
📄 - Contract
Unknown
-
🔒 - Security
Unknown
-
📍 - Location detailed
United States
-
🧠 - Skills detailed
#Amazon Redshift #Scala #Computer Science #Data Modeling #Consulting #Snowflake #Data Architecture #Strategy #Cloud #PostgreSQL #"ETL (Extract #Transform #Load)" #Data Warehouse #Jira #Database Architecture #MongoDB #SaaS (Software as a Service) #Redshift #BigQuery #Data Quality #JavaScript #Automation #Scripting #BI (Business Intelligence) #Python #Data Engineering #Databricks
Role description
Senior Data Engineer
Work Location: 100% Remote (U.S.-based candidates only)
The ProSource Group is an Information Technology consulting firm. We are currently seeking a Senior Data Engineer to join our team in support of one of our premier SaaS technology clients.
About the Opportunity
We are seeking a highly skilled Senior Data Engineer to consult with one of our SaaS technology clients that is continuously developing, enhancing, and delivering a highly integrated, data-driven platform for its customers. Their mission-driven work depends on a sophisticated product ecosystem with deeply interconnected data and application infrastructure.
Due to the scale and complexity of this platform, the engineering organization places a strong emphasis on technical ownership, thoughtful data architecture, and clear, proactive communication.
The individual in this role will support a highly complex, data-intensive product environment spanning operational systems, reporting platforms, marketplace activity, and advanced analytics. This requires deep expertise in database architecture, large-scale data systems, and data warehouse strategy.
This opportunity is best suited for a senior-level engineer who is structured, self-directed, and comfortable navigating large-scale production systems with multiple integrations.
Position Qualifications
• 10+ years of hands-on experience in database engineering and data architecture
• Bachelor’s degree in Computer Science or a related technical field
• Strong experience with database architecture, data modeling, and data warehouse performance optimization
• Deep hands-on experience with MongoDB and PostgreSQL
• Strong understanding of ETL processes and experience moving and aggregating data between systems
• Experience working with at least one major cloud-based data warehouse platform, such as:
• Snowflake
• Amazon Redshift
• Google BigQuery
• Databricks
• Hands-on experience with Sigma BI, Omni, or other cloud-native business intelligence tools
• Strong scripting and automation skills using JavaScript or Python
• Ability to clearly describe prior experience building and maintaining public-facing production data systems and platforms
• Comfortable working in highly complex, data-driven, and integrated environments
• Strong sense of technical ownership, including responsibility for data quality, software reliability, and system scalability
• Experience working in a Jira + Slack collaborative engineering workflow
• Excellent written and verbal communication skills
Additional Requirements
Candidates must be able to pass a pre-employment background check.
Thank you for your time and consideration.
Senior Data Engineer
Work Location: 100% Remote (U.S.-based candidates only)
The ProSource Group is an Information Technology consulting firm. We are currently seeking a Senior Data Engineer to join our team in support of one of our premier SaaS technology clients.
About the Opportunity
We are seeking a highly skilled Senior Data Engineer to consult with one of our SaaS technology clients that is continuously developing, enhancing, and delivering a highly integrated, data-driven platform for its customers. Their mission-driven work depends on a sophisticated product ecosystem with deeply interconnected data and application infrastructure.
Due to the scale and complexity of this platform, the engineering organization places a strong emphasis on technical ownership, thoughtful data architecture, and clear, proactive communication.
The individual in this role will support a highly complex, data-intensive product environment spanning operational systems, reporting platforms, marketplace activity, and advanced analytics. This requires deep expertise in database architecture, large-scale data systems, and data warehouse strategy.
This opportunity is best suited for a senior-level engineer who is structured, self-directed, and comfortable navigating large-scale production systems with multiple integrations.
Position Qualifications
• 10+ years of hands-on experience in database engineering and data architecture
• Bachelor’s degree in Computer Science or a related technical field
• Strong experience with database architecture, data modeling, and data warehouse performance optimization
• Deep hands-on experience with MongoDB and PostgreSQL
• Strong understanding of ETL processes and experience moving and aggregating data between systems
• Experience working with at least one major cloud-based data warehouse platform, such as:
• Snowflake
• Amazon Redshift
• Google BigQuery
• Databricks
• Hands-on experience with Sigma BI, Omni, or other cloud-native business intelligence tools
• Strong scripting and automation skills using JavaScript or Python
• Ability to clearly describe prior experience building and maintaining public-facing production data systems and platforms
• Comfortable working in highly complex, data-driven, and integrated environments
• Strong sense of technical ownership, including responsibility for data quality, software reliability, and system scalability
• Experience working in a Jira + Slack collaborative engineering workflow
• Excellent written and verbal communication skills
Additional Requirements
Candidates must be able to pass a pre-employment background check.
Thank you for your time and consideration.




