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Temp Chemistry Python Jobs (NOW HIRING)

Data Engineer

Davie, FL · On-site

$104.90K - $126K/yr

Data Engineer (Core Data Engineer role) 1 year assignment.(Temp to perm: Based on openings and ... Work closely with cross-functional teams, including chemists, engineers, etc., to support data ...

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How much do temp chemistry python jobs pay per hour?

As of May 30, 2026, the average hourly pay for temp chemistry python in the United States is $58.62, according to ZipRecruiter salary data. Most workers in this role earn between $48.32 and $66.59 per hour, depending on experience, location, and employer.
What are the most commonly searched types of Chemistry Python jobs? The most popular types of Chemistry Python jobs are:
Data Engineer

Data Engineer

Unicon Pharma Inc.

Davie, FL • On-site

$104.90K - $126K/yr

Contractor

Posted 9 days ago


Job description

Description:
Title: Data Engineer (Core Data Engineer role)
1 year assignment.(Temp to perm: Based on openings and performance)
Davie, FL (Onsite)

Shift: Monday - Friday 8:00am - 5:00pm, 40 hours a week
Core Essential skill sets candidates must have:
1. Min 3 years experience as an expert using Power BI. Looking for persons who have created presentations and Dashboards. We are not looking for someone who has worked with a team to create these as a team but we are needing someone who knows how to create as aspects of the presentations and dashboard on their own.
2. Must be certified with Power BI Fabric.
3. Must have experience using Power BI creating models and dashboards. (Power BI fabrics & semantic models.)
4. Must have PL300 & Python certifications.
5. Must have experience using Power BI in Pharmaceutical Industry. (The worker must have good understanding of the Pharmaceutical industry.)
6. Proficiency in programming languages such as Python, R, and SQL. Experience with machine learning frameworks like TensorFlow or PyTorch.
Education:
Minimum Master's in Data Science and Compute Science - Graduate in recent years
Job Description:
a. Data Analysis: Analyze large datasets from manufacturing processes to derive actionable insights.
b. Predictive Modeling: Develop and implement predictive models to define process performance.
c. Collaboration: Work closely with cross-functional teams, including chemists, engineers, etc., to support data-driven decision-making.
d. Machine Learning: Apply machine learning algorithms to optimize process development and manufacturing processes.
e. Data Visualization: Create visualizations to communicate findings to stakeholders and support strategic planning.