Unknown Company

Data Automation Engineer

newark, nj • Posted 2 days ago
Hybrid Contract Engineering

Overview

Base pay range: $40.00/hr - $45.00/hr. This range is provided by Bernard Nickels & Associates. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

Job details

Job Title: Data Automation Engineer

Job Type: Contract (W2)

Start Date: ASAP

Contract Duration: 6 Months (with potential for extension)

Location: Newark, NJ (HYBRID role)

Compensation: $40 to $45 per hour

About the Role

A leading provider of medical education that makes a meaningful impact on physicians, nurses, pharmacists, and other healthcare providers around the world is currently seeking a Data Automation Engineer to join their team. In this role, you’ll develop and maintain Python-driven automation workflows that process, transform, and deliver high-quality data for medical education evaluation and grant-seeking initiatives. Your work will directly impact healthcare providers and the patients they serve by enabling accurate, efficient, and actionable reporting.

What You’ll Do

  • Translate reporting requirements into reusable Python classes and scripts
  • Build automation workflows to process JSON inputs, execute SQL queries, and compute derived metrics
  • Embed results into PowerPoint presentations using python-pptx and upload to Google Drive via API
  • Implement robust error handling, logging, and retry mechanisms
  • Optimize Python code for speed, scalability, and maintainability
  • Collaborate with stakeholders to validate results and refine requirements
  • Document solution architecture, data flows, and module interfaces

What You Bring

  • Bachelor’s degree in Computer Science, Data Science, Engineering, or related field (or equivalent experience)
  • 3+ years of Python development experience, including object-oriented design
  • Hands-on experience building Python-driven reporting or data-processing automations
  • Proficiency with libraries such as pandas, NumPy, SciPy, python-pptx, and Google APIs
  • Solid foundation in data analysis: cleansing, transformation, aggregation, and basic statistics
  • Experience with Git or other version control systems
  • Strong problem-solving skills, attention to detail, and clear communication

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