Data Engineer – Azure Cloud Data Platform & Healthcare | Philadelphia, PA

MSCGlobal; United States; Hybride; USD 140 000 - 190 000; Plein temps

Résumé du poste

MSCGlobal is seeking an experienced Data Engineer to design and implement Azure-based data platforms in a healthcare-focused environment. The role is hybrid and located in the Philadelphia area, requiring 10+ years of overall experience with 7+ years in data engineering and 5+ years with Azure data technologies.

You will work on enterprise-grade pipelines, data lakes, and lakehouse architectures, leveraging Azure Databricks, ADLS Gen2, ADF, Delta Lake, PySpark, Python, and SQL, while

Qualifications

• Bachelor’s degree required in CS/IS/Engineering or related field.

Responsabilités

• Design, develop, and maintain enterprise-scale data pipelines on Azure.

Connaissances

Azure cloud platform

Big data pipelines

PySpark

Python

SQL

Delta Lake

Data warehousing

ETL/ELT

Agile/Scrum

Git/CI/CD

Formation

Bachelor’s degree in Computer Science, Information Systems, Engineering, or related field

Outils

Azure Data Factory

Azure Data Lake Storage Gen2

Azure Databricks

Power BI

Description du poste

Location: Philadelphia, Pennsylvania, USA
Work Arrangement: Hybrid
Experience Required: 10+ years overall, with specific experience requirements listed below
Candidate Location: Philadelphia area or neighboring states only
Work Authorization: H-1B candidates only, as specified in the original announcement
LinkedIn Requirement: LinkedIn profile must be verified
Job Category: Information Technology (IT) & Software; Healthcare & Medical; Science & Research

Job Overview

An opportunity is available for an experienced Data Engineer specializing in Azure Cloud Data Platforms and Healthcare Data Engineering in Philadelphia, Pennsylvania. The role follows a hybrid work arrangement and is intended for candidates currently located in Philadelphia or neighboring states who can meet the local availability requirements.

The ideal candidate will have extensive experience developing enterprise-scale data pipelines, data integration solutions, and cloud-based data platforms using Microsoft Azure technologies. Strong hands-on expertise in Azure Databricks, Azure Data Lake Storage Gen2, Azure Data Factory, PySpark, Python, SQL, and Delta Lake is required, alongside a solid understanding of data warehousing, data lakes, and lakehouse architectures.

Healthcare industry experience is also essential, particularly in managed care, health plans, payer organizations, or related healthcare data environments. Candidates with experience handling claims, membership, provider, or care management data, as well as familiarity with healthcare interoperability standards, may have an advantage.

Key Responsibilities

The original announcement does not provide a formal list of daily responsibilities. Based on the stated technical requirements, the position may involve:

• Designing, developing, and maintaining enterprise-scale data pipelines on Azure.
• Building data integration workflows using Azure Data Factory and related services.
• Developing scalable data processing solutions using Azure Databricks, PySpark, Python, and SQL.
• Managing data storage and processing using Azure Data Lake Storage Gen2 and Delta Lake.
• Developing and supporting ETL/ELT workflows for structured and unstructured data.
• Applying data modeling and data warehousing principles to support analytical requirements.
• Implementing Git-based version control, CI/CD workflows, and DevOps practices.
• Supporting data quality, troubleshooting, and performance optimization.
• Working with healthcare data domains such as claims, membership, provider, and care management data where applicable.
• Collaborating with technical and business stakeholders in an Agile/Scrum environment.

These are inferred role-related responsibilities and should be confirmed with the hiring contact.

Education

• Bachelor’s degree in Computer Science, Information Systems, Engineering, or a related field.

Professional Experience

• 10+ years of overall experience is indicated in the job heading.
• 7+ years of experience in Data Engineering.
• 5+ years of hands‑on experience with Azure data technologies.
• 2+ years of experience in Healthcare, Managed Care, Health Plans, or Payer organizations.

Mandatory Technical Skills

• Azure Databricks.
• Azure Data Lake Storage Gen2 (ADLS Gen2).
• Azure Data Factory (ADF).
• PySpark.
• Python.
• SQL.
• Delta Lake.
• Data modeling.
• ETL/ELT development.
• Microsoft Azure Cloud Platform.
• Git and CI/CD.
• Agile/Scrum methodologies.

Additional Technical Requirements

• Experience building enterprise-scale data pipelines and data integration solutions.
• Strong understanding of data warehousing, data lakes, and lakehouse concepts.
• Experience processing large volumes of structured and unstructured data.
• Familiarity with DevOps practices.
• Strong analytical, troubleshooting, and problem‑solving skills.

Preferred Qualifications

• Experience with claims, membership, provider, or care management data.
• Power BI or other reporting tools.
• Familiarity with FHIR, HL7, or healthcare interoperability standards.
• Azure DevOps and Infrastructure as Code (IaC).
• Exposure to AI/ML data pipelines and advanced analytics environments.

Candidate Eligibility

• Candidates must meet the location restriction: Philadelphia or neighboring states only.
• H-1B candidates only, according to the original announcement.
• LinkedIn profile must be verified.
• Candidates should confirm the precise work authorization and hiring requirements with the recruiter.

Salary, Benefits & Career Growth

The original announcement does not specify salary, compensation, employment benefits, or additional allowances. Candidates should request these details from the hiring contact.

The position may offer opportunities to deepen expertise in Azure cloud engineering, enterprise data architecture, healthcare analytics, and scalable data platform development. Training, professional certifications, and career development arrangements have not been specified and should be confirmed with the employer.

Job Details

• Position: Data Engineer – Azure Cloud Data Platform & Healthcare
• Location: Philadelphia, PA, USA
• Work Arrangement: Hybrid
• Overall Experience: 10+ years indicated
• Healthcare Experience: 2+ years
• Azure Experience: 5+ years
• Data Engineering Experience: 7+ years
• Work Authorization: H-1B candidates only, per the announcement
• LinkedIn Profile: Must be verified