

Data Engineer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Engineer in Davie, FL, for 12 months at $40.00/hr. Required skills include Power BI Fabric Certification, pharmaceutical industry experience, PL300, Python certifications, and proficiency in Python, R, and SQL. Master's or PhD in Data Science preferred.
🌎 - Country
United States
💱 - Currency
$ USD
💰 - Day rate
Unknown
Unknown
320
🗓️ - Date discovered
May 15, 2025
🕒 - Project duration
More than 6 months
🏝️ - Location type
On-site
📄 - Contract type
W2 Contractor
🔒 - Security clearance
Unknown
📍 - Location detailed
Davie, FL
🧠 - Skills detailed
#ML (Machine Learning) #Data Analysis #BI (Business Intelligence) #Data Engineering #SQL (Structured Query Language) #TensorFlow #Datasets #Microsoft Power BI #Python #Semantic Models #Visualization #Data Science #Programming #R #PyTorch
Role description
Job Title: Data Engineer (Core Data Engineer role)
Location: Davie, FL 33314
Duration: 12 months
Pay Range: $40.00/hr on W2
Shift: Monday - Friday 8:00 am - 5:00 pm, 40 hours a week
Core Essential skill sets candidates must have:
• Must have Power BI Fabric Certification.
• Must have experience using Power BI creating models and dashboards. (Power BI fabrics & semantic models.)
• Must have PL300 & Python certifications.
• Must have experience using Power BI in the Pharmaceutical Industry. (The worker must have a good understanding of the pharmaceutical industry.)
• Proficiency in programming languages such as Python, R, and SQL. Experience with machine learning frameworks like TensorFlow or PyTorch.
Education:
• Master's or PhD in Data Science - College fresh or with one year experience in pharmaceutical experience using Power BI.
Screenings:
• Basic Background
• Drug -11-panel w/Fentanyl
• Medical Screenings:
• Vision Screen - Near, Far, Color, Depth and Peripheral
• Spirometry & OSHA Respirator Questionnaire
Job Description:
• Data Analysis: Analyze large datasets from manufacturing processes to derive actionable insights.
• Predictive Modelling: Develop and implement predictive models to define process performance.
• Collaboration: Work closely with cross-functional teams, including chemists, engineers, etc., to support data-driven decision-making.
• Machine Learning: Apply machine learning algorithms to optimize process development and manufacturing processes.
• Data Visualization: Create visualizations to communicate findings to stakeholders and support strategic planning.
Job Title: Data Engineer (Core Data Engineer role)
Location: Davie, FL 33314
Duration: 12 months
Pay Range: $40.00/hr on W2
Shift: Monday - Friday 8:00 am - 5:00 pm, 40 hours a week
Core Essential skill sets candidates must have:
• Must have Power BI Fabric Certification.
• Must have experience using Power BI creating models and dashboards. (Power BI fabrics & semantic models.)
• Must have PL300 & Python certifications.
• Must have experience using Power BI in the Pharmaceutical Industry. (The worker must have a good understanding of the pharmaceutical industry.)
• Proficiency in programming languages such as Python, R, and SQL. Experience with machine learning frameworks like TensorFlow or PyTorch.
Education:
• Master's or PhD in Data Science - College fresh or with one year experience in pharmaceutical experience using Power BI.
Screenings:
• Basic Background
• Drug -11-panel w/Fentanyl
• Medical Screenings:
• Vision Screen - Near, Far, Color, Depth and Peripheral
• Spirometry & OSHA Respirator Questionnaire
Job Description:
• Data Analysis: Analyze large datasets from manufacturing processes to derive actionable insights.
• Predictive Modelling: Develop and implement predictive models to define process performance.
• Collaboration: Work closely with cross-functional teams, including chemists, engineers, etc., to support data-driven decision-making.
• Machine Learning: Apply machine learning algorithms to optimize process development and manufacturing processes.
• Data Visualization: Create visualizations to communicate findings to stakeholders and support strategic planning.