Data Engineer - W2 Only (No C2C)

Our Client, a pharmaceutical company, is looking for a Data Engineer for their Davie, FL location.

Responsibilities:

• Data Analysis: Analyze large datasets from manufacturing processes to derive actionable insights.
• Predictive Modeling: 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.

Requirements:

• 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.
• Must be certified with Power BI Fabric.
• 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 Pharmaceutical Industry. (The worker must have 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.
• Minimum Master's in Data Science and Compute Science - Graduate in recent years

Why Should You Apply?

• Excellent growth and advancement opportunities

As an equal opportunity employer, ICONMA provides an employment environment that supports and encourages the abilities of all persons without regard to race, color, religion, gender, sexual orientation, gender identity or express, ethnicity, national origin, age, disability status, political affiliation, genetics, marital status, protected veteran status, or any other characteristic protected by federal, state, or local laws.