Cloud Data Engineer

  • Chicago, IL
  • Posted 5 hours ago | Updated 5 hours ago

Overview

On Site
$60 - $70
Full Time
Accepts corp to corp applications
No Travel Required
Able to Provide Sponsorship

Skills

Amazon Web Services
Apache Spark
Cloud Computing
Conflict Resolution
Continuous Delivery
Analytical Skill
Data Engineering
Data Migration
Data Integration
Data Quality
Analytics
Data Security
Data Storage
Data Warehouse
Dimensional Modeling
Business Intelligence
Extract
Transform
Load
GxP
HIPAA
Life Sciences
ELT
FOCUS
DevOps
Snow Flake Schema

Job Details

We are seeking an experienced Cloud Data Engineer with a strong background in cloud platforms (AWS, Snowflake, Azure DevOps) and proficiency in Python and Spark. The ideal candidate will have 8 10 years of industry experience, preferably in the Life Sciences or Pharmaceutical domain, with hands-on expertise in cloud data integration and data migration projects. Knowledge of data warehousing concepts and best practices is highly desirable.

Key Responsibilities:

  • Design, develop, and maintain scalable and secure data pipelines on cloud platforms like AWS and Snowflake.

  • Manage CI/CD processes and infrastructure automation using Azure DevOps.

  • Work on data migration and integration initiatives, ensuring data quality, consistency, and governance.

  • Collaborate with business and technical stakeholders to define data requirements and translate them into technical solutions.

  • Leverage Python and Apache Spark for data transformation, analytics, and automation workflows.

  • Implement and optimize data warehousing solutions, enabling efficient data storage, querying, and reporting.

  • Troubleshoot performance and data-related issues in a cloud environment.

  • Ensure compliance with data security and regulatory standards relevant to the Life Sciences/Pharma industry.

Required Qualifications:

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

  • 8 10 years of professional experience in data engineering, with a strong focus on cloud-based environments.

  • Proven expertise in AWS, Snowflake, and Azure DevOps.

  • Strong programming skills in Python and Spark (PySpark preferred).

  • Solid understanding of data warehousing principles, ETL/ELT pipelines, and dimensional modeling.

  • Prior experience in Life Sciences or Pharmaceutical industries is highly preferred.

  • Strong analytical, problem-solving, and communication skills.

Nice to Have:

  • Experience with tools like DBT, Airflow, or other orchestration frameworks.

  • Knowledge of HIPAA, GxP, or other regulatory compliance relevant to Life Sciences.

  • Familiarity with BI tools such as Tableau, Power BI, or Looker.

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

About CyberOne LLC