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Data Engineer

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for an Entry Level Data Engineer in Davie, FL, lasting 12+ months at $35.00-$40.00/hr. Requires a Master's or PhD in Data Science, proficiency in Power BI, Python, R, SQL, and experience with machine learning frameworks.
🌎 - Country
United States
💱 - Currency
$ USD
💰 - Day rate
Unknown
Unknown
320
🗓️ - Date discovered
March 29, 2025
🕒 - Project duration
More than 6 months
🏝️ - Location type
On-site
📄 - Contract type
W2 Contractor
🔒 - Security clearance
Unknown
📍 - Location detailed
Davie, FL
🧠 - Skills detailed
#R #Datasets #ML (Machine Learning) #Data Analysis #SQL (Structured Query Language) #Programming #Semantic Models #Data Science #Microsoft Power BI #Predictive Modeling #Data Engineering #BI (Business Intelligence) #Python #TensorFlow #PyTorch #Visualization
Role description
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We are hiring Entry Level Data Engineer in Davie, FL 33314.

Please let me know if you are interested or anyone who might be interested.

Client: Major Pharmaceutical Manufacturing Client

Position: Data Engineer

Location: Davie, FL 33314

Duration: 12+ months on W2 ONLY

Pay Rate: $35.00-$40.00/ Hr

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   • LOOKING FOR ENTRY LEVEL GRADUATES PhD or MS ONLY

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   • ______________________________________

Description:

Core Essential skill sets candidates must have:

Must have experience using Power BI creating models and dashboards. (Power BI fabrics & semantic models.)

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.

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.

Regards

Vishnu Das Natesan

dvishnu@radiants.com