Data Automation Engineer
Listed on 2026-02-06
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Software Development
Python, Data Engineer
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 detailsJob 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 RoleA 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.
WhatYou’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
- 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, Num Py, Sci Py, 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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