Data Engineer / Data Modeler (ETL & Analytics Focus)
Staffing the Universe
Data Engineer / Data Modeler (ETL & Analytics Focus)
Location: Minnetonka, MN (Hybrid – 3 Days Onsite) Duration: 8–12 Months Note: Only local candidates will be considered Domain- Healthcare insurance
Role Overview
We are seeking a highly versatile Data Engineer with strong Data Modeling and Analytics capabilities who can operate at the intersection of engineering and business insights. This role requires hands-on expertise in building robust ETL pipelines, designing scalable data models, and enabling data-driven decision-making in a healthcare insurance environment.
Core Responsibilities
- Architect and develop scalable data pipelines and optimized storage solutions for enterprise analytics
- Design and maintain source-to-target mappings ensuring accuracy and traceability across systems
- Build and optimize ETL workflows using Informatica (PowerCenter / IDMC)
- Develop complex SQL / PL-SQL logic for transformation, validation, and reporting
- Ensure data quality, governance, and security across the data lifecycle
- Collaborate with business and technical stakeholders to translate requirements into data solutions
- Monitor and enhance performance of ETL jobs and database systems
- Support cloud data platforms (Snowflake, Azure, Kafka preferred)
Data & Analytics Responsibilities
- Perform exploratory data analysis (EDA) to uncover trends and insights
- Develop dashboards and reports using Power BI, Tableau, or Excel
- Automate workflows using Python or R
- Support business intelligence initiatives and data storytelling
- Document data flows, mappings, and governance standards
AI & Advanced Analytics (Preferred)
- Apply machine learning techniques for predictive analytics and automation
- Build and deploy models using tools such as TensorFlow, scikit-learn, PyTorch, or Azure ML
- Enhance analytics capabilities with AI-driven insights and decision support systems
Required Skills & Experience
- Strong experience in Data Engineering & ETL development
- Hands-on expertise with Informatica PowerCenter / IDMC
- Advanced proficiency in SQL and Oracle PL/SQL
- Solid understanding of Data Modeling (dimensional & relational)
- Experience in data analysis and reporting
- Domain experience in Healthcare Insurance
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