Agile Resources, Inc.
SQL Data Engineer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a SQL Data Engineer in Denver, CO, on a 12-month contract with potential for full-time conversion. Key skills include strong SQL expertise, ETL tools (SSIS), and experience with large datasets. Hybrid work model requires 2+ days onsite.
🌎 - Country
United States
💱 - Currency
$ USD
-
💰 - Day rate
Unknown
-
🗓️ - Date
March 24, 2026
🕒 - Duration
More than 6 months
-
🏝️ - Location
Hybrid
-
📄 - Contract
W2 Contractor
-
🔒 - Security
Unknown
-
📍 - Location detailed
Denver, CO
-
🧠 - Skills detailed
#Data Integration #Data Warehouse #SQL Server #Redshift #Azure #Data Modeling #SSIS (SQL Server Integration Services) #DevOps #Datasets #Scala #CRM (Customer Relationship Management) #Cloud #Data Pipeline #Microsoft SQL Server #"ETL (Extract #Transform #Load)" #AWS (Amazon Web Services) #MS SQL (Microsoft SQL Server) #Data Processing #Deployment #Data Quality #Data Engineering #SQL (Structured Query Language) #API (Application Programming Interface) #Snowflake #Microsoft SQL
Role description
Job Title: SQL Data Engineer
Location: Denver, CO (Hybrid – 2+ days onsite required)
Job Type: Contract (12 months, potential for full-time conversion)
Overview
We are seeking an experienced SQL Data Engineer to join our team in the Denver area. This role will focus on building and maintaining scalable data pipelines, integrating data across enterprise systems, and supporting high-volume data processing environments. The ideal candidate thrives in a fast-paced setting and can work cross-functionally with both technical and business stakeholders.
What You’ll Do
• Build and maintain ETL/ELT pipelines and data integrations
• Develop and optimize data models and data warehouse structures
• Integrate data across systems, including Salesforce, APIs, and enterprise platforms
• Ensure data quality, accuracy, and performance across pipelines
• Troubleshoot data issues and pipeline failures
• Support CI/CD and deployment processes for data pipelines
• Collaborate with business and technical teams to translate requirements into scalable data solutions
Required Qualifications
• 4–7+ years of experience in Data Engineering
• Strong SQL expertise, specifically with Microsoft SQL Server
• Hands-on experience with ETL tools, particularly SSIS
• Solid understanding of data warehousing and data modeling concepts
• Experience working with large datasets and high-volume systems
• Familiarity with API-based integrations
• Strong troubleshooting and problem-solving abilities
Preferred Qualifications
• Experience with cloud platforms such as AWS, Azure, Snowflake, or Redshift
• Experience working with Salesforce data or CRM integrations
• Exposure to MuleSoft or similar integration platforms
• Familiarity with CI/CD or DevOps practices for data pipelines
• Experience in enterprise or large-scale environments
Soft Skills
• Ability to work independently in a fast-paced environment
• Strong communication skills with both technical and non-technical stakeholders
• Comfortable collaborating across multiple teams, including Data, Salesforce, and Integration teams
Engagement Details
• Duration: 12 months
• Conversion: Potential to convert to full-time
• Work Model: Hybrid (Denver, CO – 2+ days onsite required)
#AB-2
#ADCC
Job Title: SQL Data Engineer
Location: Denver, CO (Hybrid – 2+ days onsite required)
Job Type: Contract (12 months, potential for full-time conversion)
Overview
We are seeking an experienced SQL Data Engineer to join our team in the Denver area. This role will focus on building and maintaining scalable data pipelines, integrating data across enterprise systems, and supporting high-volume data processing environments. The ideal candidate thrives in a fast-paced setting and can work cross-functionally with both technical and business stakeholders.
What You’ll Do
• Build and maintain ETL/ELT pipelines and data integrations
• Develop and optimize data models and data warehouse structures
• Integrate data across systems, including Salesforce, APIs, and enterprise platforms
• Ensure data quality, accuracy, and performance across pipelines
• Troubleshoot data issues and pipeline failures
• Support CI/CD and deployment processes for data pipelines
• Collaborate with business and technical teams to translate requirements into scalable data solutions
Required Qualifications
• 4–7+ years of experience in Data Engineering
• Strong SQL expertise, specifically with Microsoft SQL Server
• Hands-on experience with ETL tools, particularly SSIS
• Solid understanding of data warehousing and data modeling concepts
• Experience working with large datasets and high-volume systems
• Familiarity with API-based integrations
• Strong troubleshooting and problem-solving abilities
Preferred Qualifications
• Experience with cloud platforms such as AWS, Azure, Snowflake, or Redshift
• Experience working with Salesforce data or CRM integrations
• Exposure to MuleSoft or similar integration platforms
• Familiarity with CI/CD or DevOps practices for data pipelines
• Experience in enterprise or large-scale environments
Soft Skills
• Ability to work independently in a fast-paced environment
• Strong communication skills with both technical and non-technical stakeholders
• Comfortable collaborating across multiple teams, including Data, Salesforce, and Integration teams
Engagement Details
• Duration: 12 months
• Conversion: Potential to convert to full-time
• Work Model: Hybrid (Denver, CO – 2+ days onsite required)
#AB-2
#ADCC
