Staff Data Engineer — Healthcare Data Platforms & AI

IQVIA Inc

Pennsylvania

On-site

USD 103,000 - 288,000

Full time

2 days ago
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Job summary

IQVIA Inc is seeking a Staff Software Engineer to transform and provision large-scale patient-level healthcare data into production-ready assets powering the Scion Platform. You will design and optimize data pipelines, collaborate with data suppliers, and lead cross-functional teams in an Agile environment.

The role emphasizes cloud-based data platforms (Snowflake on Azure), Spark/Scala processing, and AI-assisted development tools to improve quality and productivity.

Qualifications

  • 5–10 years of experience with large scale data integration and data movement.
  • Experience leading architecture and coordination with cross-functional and offshore teams.
  • Cloud-based data platforms including Snowflake on Azure; Hadoop ecosystem experience a plus.

Responsibilities

  • Collaborate with external data suppliers and internal stakeholders to understand data content, business rules, models, and source system characteristics.
  • Design, develop, and maintain scalable data pipelines that ingest, transform, validate, and provision healthcare data from cloud sources.
  • Develop automated data quality frameworks, validation procedures, and monitoring to ensure data accuracy and reliability.
  • Build clean, maintainable code using best practices, and participate in CI/CD and Agile ceremonies.

Skills

Large-scale data integration
Data engineering
Scrum / Agile leadership
Cloud architecture
ETL/ELT design

Tools

Snowflake
Databricks
Redshift
Hadoop
Spark
Scala
Python
SQL
Linux
Shell scripting

Job description

IQVIA Inc is seeking a Staff Software Engineer to transform and provision large-scale patient-level healthcare data into production-ready assets powering the Scion Platform. You will design and optimize data pipelines, collaborate with data suppliers, and lead cross-functional teams in an Agile environment.

The role emphasizes cloud-based data platforms (Snowflake on Azure), Spark/Scala processing, and AI-assisted development tools to improve quality and productivity.

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