Senior Data Integration Engineer

Lantern

163d

About The Position

The Sr Data Integration Engineer shall apply specialized knowledge to conceptualize, design, develop, configure, and implement data engineering solutions that move, clean, and load data across multiple systems within EDHC. This role will have a strong focus on Salesforce and MuleSoft integrations, ensuring secure and scalable data exchange across enterprise platforms. The engineer will collaborate with business and IT teams to understand business needs, design integration solutions, and deliver modern, maintainable data pipelines. The teams supported include: Application Engineering, Data Engineering, Decision Science, and Business Analytics.

Requirements

• Bachelor’s degree in IT or related field preferred; equivalent combination of education and experience acceptable.
• 5+ years of professional data engineering experience in enterprise-scale environments.
• 3+ years of MuleSoft development experience (API design, Anypoint Studio, API Manager, RAML).
• 3+ years of Salesforce data integration experience (Salesforce APIs, Bulk API, Data Loader, SOQL).
• 6+ years of SQL development experience (ETL, ELT, complex queries, and data analysis).
• 3+ years working with enterprise data warehouses.
• Experience with Azure Data Factory and/or Enterprise Data Lakes.
• Experience with Databricks (big plus).
• 1+ years of Microsoft Power BI report development.
• Strong Data Modeling capabilities, including designing conceptual, logical, and physical data models to support integration and analytics.
• Good to have programming experience in Java, C#, Python, or another object-oriented programming language.
• Experience with CMD shell, PowerShell scripting, or automation frameworks.
• Strong problem-solving and data troubleshooting skills.
• Ability to work in large-scale, complex data environments.
• Excellent communication skills, with the ability to collaborate with technical and non-technical stakeholders.
• Strong organizational skills and attention to detail.
• Self-motivated with the ability to manage multiple priorities in a fast-paced environment.

Nice To Haves

• Healthcare industry experience.

Responsibilities

• Design, develop, and maintain MuleSoft APIs, connectors, and integration flows to enable seamless data movement across Salesforce and other enterprise applications.
• Build and optimize Salesforce data pipelines, including data extraction, transformation, and loading into analytical platforms.
• Ensure integration solutions adhere to security, data governance, and performance standards.
• Collaborate with Salesforce administrators, developers, and architects to align data strategies with business needs.
• Document requirements and translate them into technical system specifications.
• Execute and coordinate requirements management and change management processes.
• Perform unit and integration testing for MuleSoft and Salesforce pipelines.
• Provide support for data-related issues within Salesforce, MuleSoft, and enterprise data warehouses.
• Act as a subject matter expert for Salesforce data models and MuleSoft integration patterns.
• Explore new integration technologies and contribute to innovation within the data engineering team.

Benefits

• Medical Insurance
• Dental Insurance
• Vision Insurance
• Short & Long Term Disability
• Life Insurance
• 401k with company match
• Flexible Paid Time Off
• Paid Parental Leave

What This Job Offers

• Career Level: Mid Level
• Education Level: Bachelor's degree
• Number of Employees: 501-1,000 employees