SQL Data Engineer

• 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

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., * 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, * 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, * 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