$140,000–$150,000 Per Year
Best Practices, Cloud Computing, Data Lake, Data Management, Data Processing, Data Warehousing, Database Extract Transform and Load (ETL), Hospital, Legal, Mentoring, Microsoft Product Family, Microsoft Windows Azure, Network Support, Python Programming/Scripting Language, SQL (Structured Query Language), Scalable System Development, Snowflake Schema, Technical Leadership
Piper Companies is seeking a Lead Data Engineer to support a leading hospital network in the greater Philadelphia area. This individual will play a key role in building and scaling modern data platforms, with a strong focus on Microsoft Fabric and cloud-based data solutions. This role requires onsite availability in Fort Washington, PA. on a hybrid basis.
Responsibilities of the Lead Data Engineer:
- Design and build scalable data pipelines, warehouses, and data lake solutions
- Lead data architecture and integration efforts within Microsoft Fabric and cloud environments
- Develop and optimize ETL/ELT processes for enterprise data initiatives
- Partner with clinical, business, and IT stakeholders to deliver data-driven solution
- Implement best practices for data governance, quality, and security
- Provide technical leadership and mentorship across data engineering efforts
Qualifications of the Lead Data Engineer:
- 7+ years of experience in data engineering or data architecture
- Strong proficiency in Python and SQL
- Experience with Microsoft Fabric, Azure Data Factory, Synapse, or similar tools (Fabric strongly preferred)
- Experience with modern data tools such as Snowflake, Databricks, Airflow, or dbt
- Strong understanding of data warehousing and data modeling concepts
Compensation for the Lead Data Engineer:
- Salary: $140,000 - $150,000 annually
- Direct Hire Opportunity
- Comprehensive Benefits: Medical, Dental, Vision, 401K, PTO, Sick Leave (as required by law), and Paid Holidays
Application Period: This position opens for applications on 5/6/2026 and will remain open for a minimum of 30 days from the posting date.
Keywords: Lead Data Engineer, Microsoft Fabric, Azure, Data Engineering, ETL, Python, SQL, Data Warehousing, Healthcare Data, Synapse, Data Factory
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