Lead Data Engineer

Job Description

Day-to-Day:

• Serve as a senior technical lead within the Data Engineering organization

• Oversee data intake processes and determine how new data sources are integrated into the enterprise environment

• Design, build, and maintain Microsoft Fabric Lakehouse solutions

• Develop and support PySpark-based data engineering solutions

• Lead operational support and ongoing optimization of enterprise data platforms

• Build and maintain CI/CD pipelines and deployment processes

• Partner with business and technical teams to develop scalable data architectures

• Support the full data lifecycle from ingestion through consumption by BI teams and external data consumers

• Manage multiple concurrent initiatives while ensuring platform performance and reliability

• Provide technical guidance and leadership across the engineering organization

• Act as a hands-on contributor while helping drive team success and operational excellence

Job Description:

Insight Global is seeking a Lead Data Engineer for a leading healthcare client in the Philadelphia area. This individual will serve as a lead member of the Data Engineering organization responsible for designing, building, and supporting enterprise data platforms within Microsoft Fabric and Azure environments. They will be one of three leads on the team and will balance leadership and hands-on development. The ideal candidate brings experience with PySpark, Fabric Lakehouse development, CI/CD pipeline support, and modern cloud-based data architectures. This role goes beyond traditional development work, it requires someone who can take ownership of data initiatives from intake through delivery, building the underlying infrastructure that enables data to move through its lifecycle and ultimately be consumed by BI teams, external partners, and enterprise stakeholders. The team is seeking a highly proactive, hands-on leader who can independently drive projects forward, support operations, mentor team members, and serve as a trusted technical resource. Candidates must possess strong communication skills, leadership potential, and the ability to step in immediately to support team operations.

We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to View email address on click.appcast.io learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy:

Skills and Requirements

Must-Haves:

• 15+ years of experience in Data Engineering and a combination of technical leadership and hands-on engineering experience

• Bachelor's degree in Computer Science, Information Technology, or related field

• Some hands-on experience with Microsoft Fabric

• Strong Python experience, specifically PySpark for Fabric Lakehouse development

• Experience supporting and maintaining CI/CD pipelines

• Hands-on experience with Azure technologies, Azure DevOps, and enterprise data platforms

• Experience designing, building, and supporting large-scale data infrastructure and data pipelines Plusses:

• Healthcare or payer or academia industry experience

• Epic experience or certifications (Clarity, Caboodle, Cogito)