Data Engineer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Engineer in Davie, FL, with a 1-year contract at $40/hr. Requires a Master's in Data Science, 3 years of Power BI experience in the pharmaceutical industry, and proficiency in Python, R, and SQL.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
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🗓️ - Date discovered
June 13, 2025
🕒 - Project duration
More than 6 months
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🏝️ - Location type
On-site
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📄 - Contract type
1099 Contractor
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🔒 - Security clearance
Unknown
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📍 - Location detailed
Davie, FL
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🧠 - Skills detailed
#Microsoft Power BI #Semantic Models #PyTorch #TensorFlow #Visualization #R #Data Engineering #ML (Machine Learning) #Predictive Modeling #Data Analysis #Python #SQL (Structured Query Language) #BI (Business Intelligence) #Programming #Data Science #Datasets
Role description
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Title: Data Engineer (Onsite)
Location: Davie, FL
Hours: 8:00 am - 5:00 pm | Pay: 40/hr
• 1 year assignment
• Job Responsibities:
1. Data Analysis: Analyze large datasets from manufacturing processes to derive actionable insights.
1. Predictive Modeling: Develop and implement predictive models to define process performance.
1. Collaboration: Work closely with cross-functional teams, including chemists, engineers, etc., to support data-driven decision-making.
1. Machine Learning: Apply machine learning algorithms to optimize process development and manufacturing processes.
1. Data Visualization: Create visualizations to communicate findings to stakeholders and support strategic planning.
Education:
1. Master's in Data Science and Compute Science
1. Min 3 years experience as an expert using Power BI.
1. Certified with Power BI Fabric preferred.
1. Must have experience using Power BI creating models and dashboards. (Power BI fabrics & semantic models.)
1. PL300 & Python certifications Preferred.
1. Must have experience using Power BI in Pharmaceutical Industry. (The worker must have good understanding of the Pharmaceutical industry.)
1. Proficiency in programming languages such as Python, R, and SQL. Experience with machine learning frameworks like TensorFlow or PyTorch.
