

Data Engineer II
β - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Engineer II in Davie, FL, lasting 12 months with a pay rate of $35-$40/hr. Requires 3+ years in Power BI, Power BI Fabric certification, PL300 & Python certifications, and experience in the pharmaceutical industry.
π - Country
United States
π± - Currency
$ USD
-
π° - Day rate
320
-
ποΈ - Date discovered
June 6, 2025
π - Project duration
More than 6 months
-
ποΈ - Location type
On-site
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π - Contract type
W2 Contractor
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π - Security clearance
Unknown
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π - Location detailed
Davie, FL
-
π§ - Skills detailed
#ML (Machine Learning) #TensorFlow #SQL (Structured Query Language) #Data Analysis #BI (Business Intelligence) #Python #Visualization #Microsoft Power BI #R #Data Engineering #Programming #Predictive Modeling #PyTorch #Semantic Models #Datasets #Data Science
Role description
Industry: Pharmaceuticals
Job Title: Qualification Engineer II
Location:Β Davie FLΒ 33314
Duration:12 monthsΒ [+ Possibilities of extension]
Pay Range:Β $35-$40/hr
Job Description:
Core Essential skill sets candidates must have:
β’ Min 3 years experience as an expert using Power BI.
β’ Looking for persons who have created presentations and Dashboards.
β’ 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.
β’ Must be certified with Power BI Fabric.
β’ Must have experience using Power BI creating models and dashboards. (Power BI fabrics & semantic models.)
β’ Must have PL300 & Python certifications.
β’ Must have experience using Power BI in Pharmaceutical Industry. (The worker must have good understanding of the Pharmaceutical industry.)
β’ Proficiency in programming languages such as Python, R, and SQL. Experience with machine learning frameworks like TensorFlow or PyTorch.
Education:
β’ Minimum Master's in Data Science and Compute Science - Graduate in recent years
Screenings:
β’ Basic Background
β’ Drug -11-panel w/Fentanyl
β’ Medical Screenings:
β’ Vision Screen - Near, Far, Color, Depth and Peripheral
β’ Spirometry & OSHA Respirator Questionnaire
Description:
β’ Data Analysis: Analyze large datasets from manufacturing processes to derive actionable insights.
β’ Predictive Modeling: Develop and implement predictive models to define process performance.
β’ Collaboration: Work closely with cross-functional teams, including chemists, engineers, etc., to support data-driven decision-making.
β’ Machine Learning: Apply machine learning algorithms to optimize process development and manufacturing processes.
β’ Data Visualization: Create visualizations to communicate findings to stakeholders and support strategic planning.
Industry: Pharmaceuticals
Job Title: Qualification Engineer II
Location:Β Davie FLΒ 33314
Duration:12 monthsΒ [+ Possibilities of extension]
Pay Range:Β $35-$40/hr
Job Description:
Core Essential skill sets candidates must have:
β’ Min 3 years experience as an expert using Power BI.
β’ Looking for persons who have created presentations and Dashboards.
β’ 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.
β’ Must be certified with Power BI Fabric.
β’ Must have experience using Power BI creating models and dashboards. (Power BI fabrics & semantic models.)
β’ Must have PL300 & Python certifications.
β’ Must have experience using Power BI in Pharmaceutical Industry. (The worker must have good understanding of the Pharmaceutical industry.)
β’ Proficiency in programming languages such as Python, R, and SQL. Experience with machine learning frameworks like TensorFlow or PyTorch.
Education:
β’ Minimum Master's in Data Science and Compute Science - Graduate in recent years
Screenings:
β’ Basic Background
β’ Drug -11-panel w/Fentanyl
β’ Medical Screenings:
β’ Vision Screen - Near, Far, Color, Depth and Peripheral
β’ Spirometry & OSHA Respirator Questionnaire
Description:
β’ Data Analysis: Analyze large datasets from manufacturing processes to derive actionable insights.
β’ Predictive Modeling: Develop and implement predictive models to define process performance.
β’ Collaboration: Work closely with cross-functional teams, including chemists, engineers, etc., to support data-driven decision-making.
β’ Machine Learning: Apply machine learning algorithms to optimize process development and manufacturing processes.
β’ Data Visualization: Create visualizations to communicate findings to stakeholders and support strategic planning.