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# Data Engineer / Data Modeler (ETL & Analytics Focus)

- **Company:** Georgia Tek Systems
- **Location:** Minneapolis, MN, United States
- **Contract:** Temporary contract
- **Skills:** Microsoft Excel, Artificial Intelligence, Data Analysis, Microsoft Azure, Databases, Information Engineering, Extract Transform Load (ETL), Data Presentation, Data Systems, Decision Support Systems, Document-Oriented Databases, Python (Programming Language), Machine Learning, Oracle (Applications), Oracle SQL Developer, Power BI, Cloud Services, Tensorflow, Azure Machine Learning, PL-SQL, SQL Databases, Tableau (Software), Pytorch, Informatica Powercenter, Snowflake, Build Management, Scikit Learn, Data Analytics, Apache Kafka, Data Pipelines
- **Published:** October 16, 2026
- **Apply:** https://www.careerbuilder.com/job-details/data-engineer-data-modeler-etl-analytics-focus-mn--28b54c3c-038a-49b9-be9c-296ffbd285f6

## About the Role

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., * 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

## Description

Title: Data Engineer / Data Modeler (ETL & Analytics Focus)Location: Minnetonka, MN (Hybrid - 3 Days Onsite)Duration: 8-12 MonthsNote: Only local candidates will be considered Domain- Healthcare insurance Role OverviewWe 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 ResponsibilitiesArchitect 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 systemsSupport cloud data platforms (Snowflake, Azure, Kafka preferred) Data & Analytics ResponsibilitiesPerform exploratory data analysis (EDA) to uncover trends and insights Develop dashboards and reports using Power BI, Tableau, or ExcelAutomate workflows using Python or RSupport 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 MLEnhance analytics capabilities with AI-driven insights and decision support systemsRequired Skills & ExperienceStrong experience in Data Engineering & ETL developmentHands-on expertise with Informatica PowerCenter / IDMCAdvanced proficiency in SQL and Oracle PL/SQLSolid understanding of Data Modeling (dimensional & relational)Experience in data analysis and reportingDomain experience in Healthcare Insurance
Title: Data Engineer / Data Modeler (ETL & Analytics Focus)Location: Minnetonka, MN (Hybrid - 3 Days Onsite)Duration: 8-12 MonthsNote: Only local candidates will be considered Domain- Healthcare insurance Role OverviewWe 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 ResponsibilitiesArchitect 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 systemsSupport cloud data platforms (Snowflake, Azure, Kafka preferred) Data & Analytics ResponsibilitiesPerform exploratory data analysis (EDA) to uncover trends and insights Develop dashboards and reports using Power BI, Tableau, or ExcelAutomate workflows using Python or RSupport 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 MLEnhance analytics capabilities with AI-driven insights and decision support systemsRequired Skills & ExperienceStrong experience in Data Engineering & ETL developmentHands-on expertise with Informatica PowerCenter / IDMCAdvanced proficiency in SQL and Oracle PL/SQLSolid understanding of Data Modeling (dimensional & relational)Experience in data analysis and reportingDomain experience in Healthcare Insurance