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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Data Engineer - **Company:** Fusion Medical Staffing - **Location:** Omaha, NE, United States - **Experience:** Experienced - **Salary:** $105,000.0 - $115,000.0 - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Artificial Neural Networks, Big Data, Business Software, Cloud Database, Databases, Data Infrastructure, Data Integration, Data Integrity, Extract Transform Load (ETL), Data Security, Data Visualization, Data Warehousing, Database Security, Document-Oriented Databases, SQL Azure, Query Optimization, Raw Data, Software Deployment, SQL Databases, Strategies of Testing, Web Analytics, Cloud Platform System, System Availability, Large Language Models, Snowflake, Software Troubleshooting, Database Performance, Data Strategy, Computer Equipment, Information Technology, Performance Monitor, Data Objects, Tools for Reporting, Data Pipelines, Web Api - **Published:** September 13, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=cff7bef6bef9894d ## About the Role * Proficiency in English language (oral and written) * Excellent communication and people skills * Detail oriented * Humble, Driven, Positive * Strong organizational and time management skills * Computer skills * Exhibit a high level of personal accountability * Results driven mentality * Advanced proficiency in SQL - Microsoft * Advanced proficiency in ETL and ELT approaches - Fivetran * Intermediate proficiency of data visualization techniques * Intermediate proficiency with data orchestration and automation * Intermediate understanding of probability and statistics * Advanced understanding of database management concepts - Snowflake/Azure SQL * Intermediate proficiency in application deployment concepts * Critical thinking * Intermediate understanding of cloud data architectures * Intermediate proficiency in application deployment concepts, * Bachelor's degree in Applied Mathematics, Economics, Physics, Computer Science or related field * 4+ Years experience designing, developing, and maintaining data integration pipelines * 4+ Years experience developing data warehousing components (data objects, procedures, automation/scheduling) * 4+ Years experience developing data integration for diverse sources * 4+ Years experience managing large datasets from multiple sources to create usable datasets * 4+ Years experience running complex analyses to define business intelligence * 4+ Years experience running experiments with data - simulation, neural sets, scenario analysis, etc. * Designing, developing, and maintaining data integration pipelines * Developing data warehousing components (data objects, procedures, automation/scheduling, et al) * Developing data integration for diverse sources * Managing large datasets from multiple sources to create usable datasets * Running complex analyses to define business intelligence * Running experiments with data - simulation, neural nets, scenario analysis, etc. Preferred Education and Experience * Experience creating cloud-based data platforms designed for analytical performance * Experience visualizing data for determining model variance, risk, performance, etc. * Experience using API endpoints for data integration * Experience utilizing LLM core concepts and approaches * Experience utilizing AI core concepts and approaches * Demonstrated experience with digital analytics and reporting tools * Master's of Applied Mathematics, Economics, Physics, Computer Science or related field * Creating cloud-based data platforms designed for analytical performance * Visualizing data for determining model variance, risk, performance, etc. * Using API endpoints for data integration * Database Administration (DBA) including index maintenance, performance troubleshooting, and architectural change consulting. ## Description * Design and develop data integration systems, services, and pipelines * Design and maintain automated systems that move data from source locations to target storage systems. * Extract raw data, transform it into usable formats by cleaning and filtering, and load it into data warehouses and lakes. * Troubleshoot and optimize broken or misconfigured SQL queries * Maintain readiness to address ETL pipeline breaks or other data latency issues * Develop SQL queries in the creation of business applications and SQL reports from corporate data sources. * Architect and build secure, scalable, and high availability databases and testing strategies to ensure integrity and security. * Monitor database performance, implement changes and apply new patches and versions when required * Construct data platform schedules using orchestration and automation techniques * Maintain and enhance data platform architecture processes * Construct refined (warehouse) datasets used for operational reporting, analytics, and ML/AI activities * Identify and recommend solutions to improve data reliability and readiness * Contribute to the ongoing evolution of the data platform architecture * Apply rules and protocols to protect sensitive information and comply with privacy regulations. * Define data use processes, Determine, enforce and document database policies, best practices, service level agreements, procedures and standards * Recommends solutions by diagnosing and defining database physical structure and functional capabilities, and implementing database security, data back-up, and recovery specifications. * Prepare and maintain data for ML/AI activities * Conduct data research for new business intelligence * Recommend solutions to leverage ML/AI for business automation, Local - position has in-office requirements Monday through Friday and would require employee to live in the local area. Physical Demands * Employee is regularly required to talk and hear * Constantly operates a computer and other office equipment, such as a phone, headset, calculator, copier, and printer * The person in this position may need to occasionally move about inside the office to access files, computer equipment, copier, etc. ## Related Videos - [Data Governance in the Era of AI](https://www.wearedevelopers.com/videos/1622-data-governance-in-the-era-of-ai) - [Alibaba Big Data and Machine Learning Technology](https://www.wearedevelopers.com/videos/37-alibaba-big-data-and-machine-learning-technology) - [From Messy Queries to Scalable Systems - How Data Engineering actually works](https://www.wearedevelopers.com/videos/100203-from-messy-queries-to-scalable-systems-how-data-engineering-actually-works) - [Web APIs you might not know about](https://www.wearedevelopers.com/videos/281-web-apis-you-might-not-know-about) - [Making Data Warehouses fast. 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