Senior Data Engineer, Databricks Platform on AWS

Pci Pharma Services

Rockford (IL)

On-site

USD 120,000 - 180,000

Full time

14 days+

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Job summary

PCI Pharma Services is seeking a Senior Data Engineer to own the design, development, and operation of a Databricks-based data platform on AWS. The role focuses on scalable pipelines, secure data models, and robust analytics capabilities to support AI/ML use cases.

You will work with the Data Platform Lead, Product, PM, QA, Customer Success, and external partners to deliver reliable, high-performance data solutions across the organization.

Qualifications

  • Senior IC responsible for design, development, optimization, and ops of the enterprise data platform on Databricks and AWS.
  • Expertise in Delta Lake, data modeling, ETL/ELT frameworks, and cloud environments.
  • Collaborates with Data Platform Lead, Product, Project Management, Testing, Customer Success, and external partners.
  • Focus on scalability, security, reliability, and incident resolution.

Responsibilities

  • Design, develop, and maintain scalable data pipelines using Databricks (Spark / Delta Lake).
  • Build robust ETL/ELT workflows leveraging PySpark and Databricks SQL.
  • Implement and support medallion architecture (Bronze, Silver, Gold).
  • Design and maintain efficient data models (3NF, star schema).
  • Support Data Catalog and Data Governance for data quality and compliance.
  • Build and maintain CI/CD pipelines for reliable deployments.
  • Collaborate with external partners for development and production support.

Skills

Databricks
PySpark
Delta Lake
Data modeling
ETL/ELT
AWS
CI/CD
Data governance
Spark
Collaboration

Tools

Databricks SQL
AWS Glue
S3
Lambda

Job description

PCI Pharma Services is seeking a Senior Data Engineer to own the design, development, and operation of a Databricks-based data platform on AWS. The role focuses on scalable pipelines, secure data models, and robust analytics capabilities to support AI/ML use cases.

You will work with the Data Platform Lead, Product, PM, QA, Customer Success, and external partners to deliver reliable, high-performance data solutions across the organization.

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