Job Description

Job Description

Immediate need for a talented Senior Data Engineer. This is a 12+ months contract opportunity with long-term potential and is located in San Diego, CA (Remote). Please review the job description below and contact me ASAP if you are interested.

Job ID: 25-91997

Pay Range: $80 - $85/hour. Employee benefits include, but are not limited to, health insurance (medical, dental, vision), 401(k) plan, and paid sick leave (depending on work location).

Key Responsibilities:

• Design, develop, and optimize data pipelines using Databricks and Medallion architecture for structured and unstructured data.
• Implement data ingestion strategies from diverse sources (SAP, TrackWise, Salesforce, and others) ensuring high-quality, reliable data flow.
• Ingest and process large volumes of data from Azure Blob Storage into Databricks for transformation and analytics.
• Build and maintain silver and gold layers for curated, analytics-ready datasets.
• Apply advanced statistical methods , including:
• Anomaly Detection for identifying irregular patterns in operational and quality data.
• Forecasting for demand, defect trends, and resource planning.
• Root Cause Analysis to identify drivers of failures or complaints.
• Risk Modeling to quantify and predict potential quality or operational risks.
• Predictive Analytics for proactive decision-making and maintenance.
• Pattern Detection to uncover hidden relationships in large datasets.
• Develop and deploy NLP solutions for text-based data analysis, leveraging linguistic schemas for structured interpretation of unstructured data.
• Create Power BI dashboards with:
• Workflow automation (notifications, reminders, messaging).
• AI-driven insights using prepped datasets for predictive and prescriptive analytics.
• Implement near real-time tracking systems and alert mechanisms for critical events and operational KPIs.
• Collaborate with cross-functional teams to align data solutions with business objectives and ensure visibility across the end-to-end operating cycle .
• Document data workflows, maintain traceability, and ensure audit readiness for all data engineering activities.
• Leverage knowledge of Quality Management Systems (QMS) to support compliance and continuous improvement

Key Requirements and Technology Experience:

• Key Skills; Databricks, Medallion, Azure, data pipelines

Our client is a leading Medical Technology Industry and we are currently interviewing to fill this and other similar contract positions. If you are interested in this position, please apply online for immediate consideration.

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